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Open Access Theses and Dissertations

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Recent Additions

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About OATD.org

OATD.org aims to be the best possible resource for finding open access graduate theses and dissertations published around the world. Metadata (information about the theses) comes from over 1100 colleges, universities, and research institutions . OATD currently indexes 6,906,862 theses and dissertations.

About OATD (our FAQ) .

Visual OATD.org

We’re happy to present several data visualizations to give an overall sense of the OATD.org collection by county of publication, language, and field of study.

You may also want to consult these sites to search for other theses:

• Google Scholar
• NDLTD , the Networked Digital Library of Theses and Dissertations. NDLTD provides information and a search engine for electronic theses and dissertations (ETDs), whether they are open access or not.
• Proquest Theses and Dissertations (PQDT), a database of dissertations and theses, whether they were published electronically or in print, and mostly available for purchase. Access to PQDT may be limited; consult your local library for access information.

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EBSCO Open Dissertations

EBSCO Open Dissertations makes electronic theses and dissertations (ETDs) more accessible to researchers worldwide. The free portal is designed to benefit universities and their students and make ETDs more discoverable. 

Increasing Discovery & Usage of ETD Research

EBSCO Open Dissertations is a collaboration between EBSCO and BiblioLabs to increase traffic and discoverability of ETD research. You can join the movement and add your theses and dissertations to the database, making them freely available to researchers everywhere while increasing traffic to your institutional repository. 

EBSCO Open Dissertations extends the work started in 2014, when EBSCO and the H.W. Wilson Foundation created American Doctoral Dissertations which contained indexing from the H.W. Wilson print publication, Doctoral Dissertations Accepted by American Universities, 1933-1955. In 2015, the H.W. Wilson Foundation agreed to support the expansion of the scope of the American Doctoral Dissertations database to include records for dissertations and theses from 1955 to the present.

How Does EBSCO Open Dissertations Work?

Your ETD metadata is harvested via OAI and integrated into EBSCO’s platform, where pointers send traffic to your IR.

EBSCO integrates this data into their current subscriber environments and makes the data available on the open web via opendissertations.org .

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Open Access Theses and Dissertations

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Why search this literature?

It is crucial for graduate students to search the thesis and dissertation literature to make sure that an idea or hypothesis has not already been tested, explored, and published.  An additional reason to search this literature is that it is rich with ideas and information not found elsewhere.  If graduate students do not continue on as academics or if students that came after them in their programs did not continue their research, this literature may be the end of the line for scholarship on a topic.

ProQuest has published dissertation e-learning modules covering the usefulness of using dissertations as a research source.  See link below:

• Dissertation eLearning resources from ProQuest Uncover the value of dissertations.

Library Databases

All graduate students should, at minimum, search the ProQuest Dissertations & Theses Global database (PQDT) to see if the research they are proposing to do has already been done by a student at another institution/university.  RIT dissertations and theses have been included in PQDT since approximately 2006.

• Proquest Dissertations & Theses Global This link opens in a new window Identifies Ph.D. dissertations from U.S. & Canadian universities since 1861. Abstracts from 1980. Master's theses from 1988. Many with full-text.

RIT Digital Institutional Repository

• Digital Institutional Repository The digital institutional repository for the Rochester Institute of Technology, managed by RIT Libraries.
• ProQuest - Most Accessed Dissertations/Theses

Each month ProQuest updates this list of the top 25 Most-Accessed Dissertations and Theses across all subjects, based upon total PDF downloads. Find out what is trending.

The web sites below should also be consulted as appropriate to perform a full and thorough review of the dissertation and thesis literature beyond your introductory search of ProQuest Dissertations and Theses Global.  Consider whether a particular country or part of the world would have an interest in your potential research topic.

Only large-scale repositories of dissertations and theses are included here. You may also need to search individual university repositories directly.

• Ebsco Open Dissertations Search thousands of open dissertations and theses from over 50 participating libraries.
• EThOS (from the British Library) EThOS offers a 'single point of access' where researchers the world over can access ALL theses produced by UK Higher Education.
• Indian Institute of Science Dissertations and theses from the Indian Institute of Science, Bangalore, India.
• Indian Theses and Dissertations (Shodhganga) Over 130 participating Indian universities and over 8800 ETD documents.
• National ETD Portal (South Africa) South African theses and dissertations.
• Networked Digital Library of Theses and Dissertations The Networked Digital Library of Theses and Dissertations (NDLTD), is an international organization dedicated to promoting the adoption, creation, use, dissemination, and preservation of electronic theses and dissertations (ETDs). The NDLTD Union Catalog contains more than one million records of electronic theses and dissertations. Search the Union Catalog from here: http://thumper.vtls.com:6090/?theme=NDLTD
• OhioLINK ETD Center Electronic theses and dissertations from colleges and universities in the state of Ohio.
• Open Access Theses and Dissertations OATD aims to be the best possible resource for finding open access graduate theses and dissertations published around the world. Metadata (information about the theses) comes from over 600 colleges, universities, and research institutions. OATD currently indexes over 1.5 million theses and dissertations. RIT is included.
• Theses Canada Canadian universities voluntarily participate by submitting approved theses and dissertation to Theses Canada. Click on "Search Theses Canada" under the Introduction on the left hand side of the page to begin your search.
• TROVE From the National Library of Australia - Search Trove to explore amazing collections from Australian libraries, universities, museums, galleries and archives.
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How to find resources by format

Why use a dissertation or a thesis.

A dissertation is the final large research paper, based on original research, for many disciplines to be able to complete a PhD degree. The thesis is the same idea but for a masters degree.

They are often considered scholarly sources since they are closely supervised by a committee, are directed at an academic audience, are extensively researched, follow research methodology, and are cited in other scholarly work. Often the research is newer or answering questions that are more recent, and can help push scholarship in new directions. 

Search for dissertations and theses

Locating dissertations and theses.

The Proquest Dissertations and Theses Global database includes doctoral dissertations and selected masters theses from major universities worldwide.

• Searchable by subject, author, advisor, title, school, date, etc.
• More information about full text access and requesting through Interlibrary Loan

NDLTD – Networked Digital Library of Theses and Dissertations provides free online access to a over a million theses and dissertations from all over the world.

WorldCat Dissertations and Theses searches library catalogs from across the U.S. and worldwide.

Locating University of Minnesota Dissertations and Theses

Use  Libraries search  and search by title or author and add the word "thesis" in the search box. Write down the library and call number and find it on the shelf. They can be checked out.

Check the  University Digital Conservancy  for online access to dissertations and theses from 2007 to present as well as historic, scanned theses from 1887-1923.

Other Sources for Dissertations and Theses

• Center for Research Libraries
• DART-Europe E-Thesis Portal
• Theses Canada
• Ethos (Great Britain)
• Australasian Digital Theses in Trove
• DiVA (Sweden)
• E-Thesis at the University of Helsinki
• DissOnline (Germany)
• List of libraries worldwide - to search for a thesis when you know the institution and cannot find in the larger collections

University of Minnesota Dissertations and Theses FAQs

What dissertations and theses are available.

With minor exceptions, all doctoral dissertations and all "Plan A" master's theses accepted by the University of Minnesota are available in the University Libraries system. In some cases (see below) only a non-circulating copy in University Archives exists, but for doctoral dissertations from 1940 to date, and for master's theses from 1925 to date, a circulating copy should almost always be available.

"Plan B" papers, accepted in the place of a thesis in many master's degree programs, are not received by the University Libraries and are generally not available. (The only real exceptions are a number of old library school Plan B papers on publishing history, which have been separately cataloged.) In a few cases individual departments may have maintained files of such papers.

In what libraries are U of M dissertations and theses located?

Circulating copies of doctoral dissertations:.

• Use Libraries Search to look for the author or title of the work desired to determine location and call number of a specific dissertation. Circulating copies of U of M doctoral dissertations can be in one of several locations in the library system, depending upon the date and the department for which the dissertation was done. The following are the general rules:
• Dissertations prior to 1940 Circulating copies of U of M dissertations prior to 1940 do not exist (with rare exceptions): for these, only the archival copy (see below) is available. Also, most dissertations prior to 1940 are not cataloged in MNCAT and can only be identified by the departmental listings described below.  
• Dissertations from 1940-1979 Circulating copies of U of M dissertations from 1940 to 1979 will in most cases be held within the Elmer L. Andersen Library, with three major classes of exceptions: dissertations accepted by biological, medical, and related departments are housed in the Health Science Library; science/engineering dissertations from 1970 to date will be located in the Science and Engineering Library (in Walter); and dissertations accepted by agricultural and related departments are available at the Magrath Library or one of the other libraries on the St. Paul campus (the Magrath Library maintains records of locations for such dissertations).  
• Dissertations from 1980-date Circulating copies of U of M dissertations from 1980 to date at present may be located either in Wilson Library (see below) or in storage; consult Libraries Search for location of specific items. Again, exceptions noted above apply here also; dissertations in their respective departments will instead be in Health Science Library or in one of the St. Paul campus libraries.

Circulating copies of master's theses:

• Theses prior to 1925 Circulating copies of U of M master's theses prior to 1925 do not exist (with rare exceptions); for these, only the archival copy (see below) is available.  
• Theses from 1925-1996 Circulating copies of U of M master's theses from 1925 to 1996 may be held in storage; consult Libraries search in specific instances. Once again, there are exceptions and theses in their respective departments will be housed in the Health Science Library or in one of the St. Paul campus libraries.  
• Theses from 1997-date Circulating copies of U of M master's theses from 1997 to date will be located in Wilson Library (see below), except for the same exceptions for Health Science  and St. Paul theses. There is also an exception to the exception: MHA (Masters in Health Administration) theses through 1998 are in the Health Science Library, but those from 1999 on are in Wilson Library.

Archival copies (non-circulating)

Archival (non-circulating) copies of virtually all U of M doctoral dissertations from 1888-1952, and of U of M master's theses from all years up to the present, are maintained by University Archives (located in the Elmer L. Andersen Library). These copies must be consulted on the premises, and it is highly recommended for the present that users make an appointment in advance to ensure that the desired works can be retrieved for them from storage. For dissertations accepted prior to 1940 and for master's theses accepted prior to 1925, University Archives is generally the only option (e.g., there usually will be no circulating copy). Archival copies of U of M doctoral dissertations from 1953 to the present are maintained by Bell and Howell Corporation (formerly University Microfilms Inc.), which produces print or filmed copies from our originals upon request. (There are a very few post-1952 U of M dissertations not available from Bell and Howell; these include such things as music manuscripts and works with color illustrations or extremely large pages that will not photocopy well; in these few cases, our archival copy is retained in University Archives.)

Where is a specific dissertation of thesis located?

To locate a specific dissertation or thesis it is necessary to have its call number. Use Libraries Search for the author or title of the item, just as you would for any other book. Depending on date of acceptance and cataloging, a typical call number for such materials should look something like one of the following:

Dissertations: Plan"A" Theses MnU-D or 378.7M66 MnU-M or 378.7M66 78-342 ODR7617 83-67 OL6156 Libraries Search will also tell the library location (MLAC, Health Science Library, Magrath or another St. Paul campus library, Science and Engineering, Business Reference, Wilson Annex or Wilson Library). Those doctoral dissertations still in Wilson Library (which in all cases should be 1980 or later and will have "MnU-D" numbers) are located in the central section of the third floor. Those master's theses in Wilson (which in all cases will be 1997 or later and will have "MnU-M" numbers) are also located in the central section of the third floor. Both dissertations and theses circulate and can be checked out, like any other books, at the Wilson Circulation desk on the first floor.

How can dissertations and theses accepted by a specific department be located?

Wilson Library contains a series of bound and loose-leaf notebooks, arranged by department and within each department by date, listing dissertations and theses. Information given for each entry includes name of author, title, and date (but not call number, which must be looked up individually). These notebooks are no longer current, but they do cover listings by department from the nineteenth century up to approximately 1992. Many pre-1940 U of M dissertations and pre-1925 U of M master's theses are not cataloged (and exist only as archival copies). Such dissertations can be identified only with these volumes. The books and notebooks are shelved in the general collection under these call numbers: Wilson Ref LD3337 .A5 and Wilson Ref quarto LD3337 .U9x. Major departments of individual degree candidates are also listed under their names in the GRADUATE SCHOOL COMMENCEMENT programs of the U of M, available in University Archives and (for recent years) also in Wilson stacks (LD3361 .U55x).

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Academic search engines have become the number one resource to turn to in order to find research papers and other scholarly sources. While classic academic databases like Web of Science and Scopus are locked behind paywalls, Google Scholar and others can be accessed free of charge. In order to help you get your research done fast, we have compiled the top list of free academic search engines.

Google Scholar is the clear number one when it comes to academic search engines. It's the power of Google searches applied to research papers and patents. It not only lets you find research papers for all academic disciplines for free but also often provides links to full-text PDF files.

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RefSeek searches more than one billion documents from academic and organizational websites. Its clean interface makes it especially easy to use for students and new researchers.

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Consider using a reference manager like Paperpile to save, organize, and cite your references. Paperpile integrates with Google Scholar and many popular databases, so you can save references and PDFs directly to your library using the Paperpile buttons:

Google Scholar is an academic search engine, and it is the clear number one when it comes to academic search engines. It's the power of Google searches applied to research papers and patents. It not only let's you find research papers for all academic disciplines for free, but also often provides links to full text PDF file.

Semantic Scholar is a free, AI-powered research tool for scientific literature developed at the Allen Institute for AI. Sematic Scholar was publicly released in 2015 and uses advances in natural language processing to provide summaries for scholarly papers.

BASE , as its name suggest is an academic search engine. It is hosted at Bielefeld University in Germany and that's where it name stems from (Bielefeld Academic Search Engine).

CORE is an academic search engine dedicated to open access research papers. For each search result a link to the full text PDF or full text web page is provided.

Science.gov is a fantastic resource as it bundles and offers free access to search results from more than 15 U.S. federal agencies. There is no need any more to query all those resources separately!

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• EBSCO Open Dissertations
• Networked Digital Library of Theses and Dissertations Provides free access to thousands of dissertation and thesis abstracts from universities around the world, and links to full text when freely available.

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Theses and Dissertations

Check Cornell’s library catalog , which lists the dissertations available in our library collection.

The print thesis collection in Uris Library is currently shelved on Level 3B before the Q to QA regular-sized volumes. Check with the library staff for the thesis shelving locations in other libraries (Mann, Catherwood, Fine Arts, etc.).

ProQuest Dissertations and Theses

According to ProQuest, coverage begins with 1637. With more than 2.4 million entries,  ProQuest Dissertations and Theses Global  is the starting point for finding citations to doctoral dissertations and master’s theses. Dissertations published from 1980 forward include 350-word abstracts written by the author. Master’s theses published from 1988 forward include 150-word abstracts. UMI also offers over 1.8 million titles for purchase in microfilm or paper formats. The full text of more than 930,000 are available in PDF format for immediate free download. Use  Interlibrary Loan  for the titles not available as full text online.

Foreign Dissertations at the Center for Research Libraries

To search for titles and verify holdings of dissertations at the Center for Research Libraries (CRL), use the CRL catalog . CRL seeks to provide comprehensive access to doctoral dissertations submitted to institutions outside the U. S. and Canada (currently more than 750,000 titles). One hundred European universities maintain exchange or deposit agreements with CRL. Russian dissertation abstracts in the social sciences are obtained on microfiche from INION.  More detailed information about CRL’s dissertation holdings .

Please see our resource guide on dissertations and theses for additional resources and support.

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How to search for Harvard dissertations

• DASH , Digital Access to Scholarship at Harvard, is the university's central, open-access repository for the scholarly output of faculty and the broader research community at Harvard.  Most Ph.D. dissertations submitted from  March 2012 forward  are available online in DASH.
• Check HOLLIS, the Library Catalog, and refine your results by using the   Advanced Search   and limiting Resource  Type   to Dissertations
• Search the database  ProQuest Dissertations & Theses Global Don't hesitate to  Ask a Librarian  for assistance.

How to search for Non-Harvard dissertations

Library Database:

• ProQuest Dissertations & Theses Global

Free Resources:

• Many  universities  provide full-text access to their dissertations via a digital repository.  If you know the title of a particular dissertation or thesis, try doing a Google search.  

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Harvard University Digital Accessibility Policy

• DSpace@MIT Home
• MIT Libraries

This collection of MIT Theses in DSpace contains selected theses and dissertations from all MIT departments. Please note that this is NOT a complete collection of MIT theses. To search all MIT theses, use MIT Libraries' catalog .

MIT's DSpace contains more than 58,000 theses completed at MIT dating as far back as the mid 1800's. Theses in this collection have been scanned by the MIT Libraries or submitted in electronic format by thesis authors. Since 2004 all new Masters and Ph.D. theses are scanned and added to this collection after degrees are awarded.

MIT Theses are openly available to all readers. Please share how this access affects or benefits you. Your story matters.

If you have questions about MIT theses in DSpace, [email protected] . See also Access & Availability Questions or About MIT Theses in DSpace .

If you are a recent MIT graduate, your thesis will be added to DSpace within 3-6 months after your graduation date. Please email [email protected] with any questions.

Permissions

MIT Theses may be protected by copyright. Please refer to the MIT Libraries Permissions Policy for permission information. Note that the copyright holder for most MIT theses is identified on the title page of the thesis.

Theses by Department

• Comparative Media Studies
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• Engineering Systems Division
• Harvard-MIT Program of Health Sciences and Technology
• Institute for Data, Systems, and Society
• Media Arts & Sciences
• Operations Research Center
• Program in Real Estate Development
• Program in Writing and Humanistic Studies
• Science, Technology & Society
• Science Writing
• Sloan School of Management
• Supply Chain Management
• System Design & Management
• Technology and Policy Program

Collections in this community

Doctoral theses, graduate theses, undergraduate theses, recent submissions.

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• Dissertations & Theses
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Browse Dissertations and Electronic Theses

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10 Of The Best Databases for Research

Declan Gessel

May 26, 2024

When conducting research, finding reliable sources can be challenging. Luckily, there are databases available to help you find credible information. By using databases, you can save time and ensure that your sources pass the CRAAP test . 

In this guide, I’ll introduce you to some of the best databases for research. Everyone can benefit from learning about these tools whether you're a student, a professional, or a hobbyist.

Table of Contents

What is a research database, why you should use a research database, frequently asked questions about 10 of the best databases for research.

A research database is a specialized collection of data relevant to academic or scholarly pursuits. Unlike general databases, which may contain a wide range of information, research databases focus on providing resources explicitly tailored for educational research. These resources may include scholarly articles, research papers, books, conference proceedings, and other types of publications that interest researchers and scholars in different disciplines. Research databases are precious tools for finding scholarly information. They provide access to a wide range of high-quality, reliable sources vetted by experts in the field. This curated collection of resources makes it easier for researchers to find the information they need quickly and efficiently. 

Accessing credible and current information is crucial in academic research. While general web searches can yield some results, they often lack the depth, accuracy, and reliability needed for scholarly work. Research databases address this by providing curated collections of academic articles, books, and other publications, ensuring the quality and validity of your research foundation.

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Research databases provide a curated and efficient way to locate credible and relevant sources, saving you time and effort while ensuring the quality of your research. Research databases offer powerful search functionalities that allow you to target your research precisely. You can use advanced search operators, filters, and subject headings to refine your results and quickly locate relevant articles, books, or datasets.

Efficient Searching

Unlike a general web search that might include personal blogs, opinion pieces, or outdated information, research databases focus on scholarly sources. These sources are typically peer-reviewed, meaning experts in the field have rigorously evaluated them to ensure their accuracy, methodology, and contribution to existing knowledge. This vetting process minimizes the risk of encountering misleading or inaccurate information.

Discovering Hidden Information

General search engines often prioritize popular content and websites. Research databases, however, can introduce you to a broader range of academic publications, including niche journals or conference proceedings you might not have found otherwise. This can broaden your understanding and expose you to new perspectives on your research topic.

Additional Features

Many research databases offer valuable features beyond just searching for sources. Citation analysis tools can help you identify highly influential articles in your field or track the impact of previous research. Additionally, some databases provide access to primary source materials like historical documents, datasets, or government reports, enriching your research with firsthand evidence.

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2. Scopus & Web of Science

Citation-tracking databases with extensive coverage across numerous academic disciplines. They offer advanced search features and citation analysis tools valuable for comprehensive research.

A trusted archive providing full-text and bibliographic content in humanities, social sciences, and select scientific journals. JSTOR is particularly helpful for researchers seeking historical context in their studies.

4. PubMed/MEDLINE

Maintained by the National Institutes of Health (NIH) , PubMed/MEDLINE is the leading resource for biomedical and life sciences research. It offers unparalleled depth and breadth of medical literature, including peer-reviewed journals, clinical trials, and pre-clinical studies.

Sponsored by the U.S. Department of Education, ERIC is the go-to resource for education research. This database comprehensively indexes journals, reports, and other materials related to all aspects of education.

6. IEEE Xplore

The Institute of Electrical and Electronics Engineers (IEEE) hosts IEEE Xplore, the leading digital library for electrical engineering, computer science, and related technologies. IEEE Xplore offers a vast collection of publications, conference proceedings, and technical standards in these fields.

7. ScienceDirect

A gateway to millions of academic articles published by Elsevier, with a significant portion being open access. ScienceDirect is a valuable resource for researchers across many scientific disciplines.

8. Business Source Complete

This comprehensive database is a great starting point for business and management research. It offers various scholarly publications, news sources, and company reports.

9. ProQuest Research Library

ProQuest Research Library indexes over 5,000 journals and magazines across various disciplines, making it a versatile tool for researchers in many fields.

10. Academic Search Complete

This versatile database is a good starting point for research on various topics. Academic Search Complete offers scholarly articles across multiple subjects, from science and history to literature and business.

How do I know which database is right for my research?

The best database for your research depends on your topic and field of study. This list provides a good starting point, but it's essential to consider your research needs.

Focus on Multidisciplinary Databases

If your research topic is broad or cuts across disciplines, start with options like Scopus, Web of Science, or JSTOR.

Explore Subject-Specific Gems

Once you have a narrower focus, delve into databases catering to your field, such as PubMed/MEDLINE for medicine, ERIC for education, or IEEE Xplore for engineering and computer science.

Consult Your Librarian

Librarians are experts at navigating research resources. Don't hesitate to contact your librarian or research advisor for personalized recommendations based on your specific research needs.

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Are there any free options available? (h3)

Yes, there are several free options available for research databases. Here are a few to explore:

Directory of Open Access Journals (DOAJ)

This searchable directory indexes millions of open-access scholarly journals across all disciplines.

Many university libraries offer free access to various research databases for their students and faculty. Check with your university library to see what resources they provide.

Government websites

Some government agencies offer free access to databases containing valuable information relevant to their specific areas of expertise.

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How to Write an Explanatory Essay

• Smodin Editorial Team
• Published: May 24, 2024

A study from the English Language Teaching Educational Journal found that students encounter difficulty in organizing thoughts, generating ideas, and understanding writing processes when writing essays [1]. These are all key components of putting together a good explanatory essay. If this sounds like you, then don’t worry.

With the right approach, you can seamlessly combine all these components. This guide will give you a simple step-by-step strategy for writing an explanatory essay. It’ll also give you handy writing tips and tool suggestions, like utilizing artificial intelligence.

With this guide, you’ll be able to write an explanatory essay with confidence.

1. Develop a strong thesis statement

Crafting a strong thesis statement is the cornerstone of any well-written explanatory essay. It sets the stage for what your essay will cover and clarifies the main point you’re going to explain. Here’s how to create a thesis:

• Find the main idea : Start by pinpointing the key concept or question you want to explain. Develop a clear purpose for the essay. This will guide your research and writing process for your explanatory paper. Use other reputable explanatory essay examples to guide your ideas. This may involve exploring other explanatory essay topics within the same field.
• Be specific : A vague thesis can confuse readers. So, make sure your statement is clear. If you’re explaining a complex process, break it down to its key points. After that, break it into a clear, concise statement that’s easy to understand.
• Reflect objectivity : Explanatory essays educate and inform. They do not argue a point. So, your thesis should take an unbiased stance on the topic. It should present the facts as they are, not as you interpret them.
• Use tools like the Smodin Writer : Smodin Writer does all the heavy lifting by leveraging the power of artificial intelligence. With it, you can generate an essay with a thesis statement. How, you ask? Through its dedicated thesis generator . It can create a statement that’s both strong and relevant. Plus, it can pull in all the most interesting information based on your topic to further enrich your thesis statement.

Make your thesis clear, informative, and neutral. This sets a strong foundation for an effective explanatory essay. Next, let’s look at how to gather the information you’ll need to support this thesis effectively.

2. Research and gather information

You need to conduct thorough research that will back your thesis with credible sources and relevant evidence. This will make your explanatory essay both informative and persuasive. Here’s a step-by-step guide to conducting effective research:

• Start with a plan: Put together an explanatory essay outline that includes the information you need to support your thesis. The plan should list the best sources, like academic journals, books, reputable websites, or scholarly articles.
• Use credible sources: They ensure the accuracy of your essay. Libraries, academic databases, and certified websites are excellent places to find trustworthy information.
• Seek detailed information: Look for the most current sources that explain your topic well and provide unique insights related to or opposing your thesis statement. This depth is crucial for explaining complex ideas clearly and thoroughly in your explanatory papers. Pay attention to the explanatory essay structure to guide your topic of choice (more on this later).
• Gather relevant evidence: Collect data, stats, and examples. They should directly support your main points. Make sure this evidence is directly related to your topic and enhances your narrative.
• Employ digital tools: Tools like Smodin’s Research Assistant can accelerate your research process. Smodin’s tools can help you find detailed information quickly, ensuring that the data you use is up-to-date and relevant.
• Document your sources: As you conduct research, keep a meticulous record of where your information comes from. This practice will help you make an accurate bibliography. It can save you time when you need to refer back to details or verify facts. Again, this is something that’s covered thanks to Smodin’s Citation Machine.
• Evaluate your findings: Critically assess the information you collect. Ensure it provides a balanced view and covers the necessary aspects of your topic to give a comprehensive overview of your essay.

By following these steps, you can gather a rich pool of information that provides a strong backbone for your explanatory essay. Now, you can start structuring your findings into well-organized body paragraphs.

3. Structure body paragraphs

Once you’ve gathered relevant evidence through thorough research, it’s time to organize it. You should put it into well-structured body paragraphs that follow a logical flow. Here’s how to structure each body paragraph for a strong explanatory essay:

• Decide how many paragraphs to use : It will depend on your topic’s complexity and the needed detail. Typically, three to five paragraphs are suitable, but longer essays may require more. An explanatory essay example on your topic of choice will be helpful.
• Start with a topic sentence : Each body paragraph should begin with a clear topic sentence that introduces the main idea of the paragraph. This sentence will act as a roadmap for the paragraph, giving the reader a sense of what to expect.
• Provide supporting evidence : After the topic sentence, share the evidence from your research. Ensure the evidence is relevant and directly supports the paragraph’s topic sentence.
• Give a detailed explanation : Follow the evidence with an analysis or explanation that ties it back to the thesis statement. This step is crucial for maintaining logical flow throughout your body paragraphs.
• Use linking words : They connect body paragraphs smoothly, ensuring the reader can follow your argument.
• End each body paragraph with a closing sentence : It should sum up the point and move to the next idea.

Following this structure will help your body paragraphs support your thesis. These paragraphs will also offer a clear, detailed explanation of your essay topic. Strong body paragraphs are essential to maintain objectivity in your writing.

4. Maintain objectivity

An explanatory essay aims to inform and educate, which makes maintaining objectivity crucial. Staying neutral lets readers form their own opinions based on facts. This ensures the writing is both reliable and informative. Here’s how to maintain objectivity:

• Avoid personal opinions: Your goal is to provide a comprehensive understanding of the topic. Refrain from injecting your personal opinion or biases. Instead, stick to presenting factual information that supports the thesis.
• Use relevant evidence: As mentioned, ground your arguments with relevant evidence from credible sources. Back up your main points with data and use research findings and verified details. This will make the explanatory article trustworthy.
• Provide a balanced view: In cases with multiple perspectives, offer a balanced view. Cover each side fairly. Even if one view prevails in consensus, acknowledging others gives readers a broader understanding.
• Adopt neutral language: Be careful with word choice and tone. Neutral language implies words that don’t encourage or illustrate bias. This helps avoid emotionally charged phrases and keeps the writing objective.
• Cite sources accurately: Proper citation of sources provides accountability for the evidence presented. This transparency builds credibility and shows you’ve conducted research thoroughly. It’s also worth noting that different intuitions have different citation styles like APA and Chicago, which is important to note before starting your essay.
• Review for biases: After drafting your essay, review it with an eye for biases. Ensure no part leans too much on one viewpoint. And, don’t dismiss an opposing perspective without cause.

Maintaining objectivity enhances the clarity and reliability of explanatory writing. Let’s now focus on crafting an introduction and conclusion that bookend your work effectively.

5. Craft an effective introduction and conclusion

A good introduction and a strong conclusion frame your explanatory essay. They give context at the start and reinforce the main points at the end. Here’s how to craft an effective introduction and conclusion.

In the introduction:

• Hook your reader in the introduction : Use an interesting fact, a compelling quote, or a surprising statistic.
• Provide background information : Be brief and offer only the essential context the reader needs to fully understand the topic. This should give the audience a foundational understanding before diving deeper into your main points.
• Include the thesis statement : Clearly state your thesis near the end of the introduction. This statement will outline the essay’s direction and give readers a preview of the body paragraphs.

In the conclusion:

• Summarize the key points : Start your explanatory essay conclusion with a summary. It should cover the main points from the body paragraphs. This summary should help readers recall and reinforce the information they’ve just read.
• Restate the thesis : Repeat your thesis again but in a new way. Explain how the evidence from the body paragraphs supported or clarified it.
• Provide a conclusion : End the essay with a statement that wraps up the argument. This statement should resonate with the reader. It should leave them with an impression that stresses the topic’s importance.

An effective introduction and conclusion give the essay structure and coherence. They guide readers from start to finish. The next step is revising and editing your entire essay for clarity and precision.

6. Revise and check clarity

Revising and editing are key in writing. They make sure your essay is clear, joined, and polished. Here’s how to refine your writing using an explanatory essay checklist and proven academic writing techniques:

• Take a break: Before diving into revisions, step away from your essay for a few hours or even a day. This break will help you return with fresh eyes, making it easier to spot errors or inconsistencies.
• Follow an essay checklist: Create or use a checklist to ensure your essay has all the needed parts. It needs a strong intro with a clear thesis, well-structured body paragraphs, good sources, and a short conclusion. Check that your arguments follow a logical flow and that all relevant evidence is directly linked to your thesis statement.
• Check for clarity and conciseness: Academic writing needs clarity. So, make sure each paragraph and sentence conveys your point. Don’t use unnecessary jargon or overly complex language. Keep sentences concise while maintaining detailed explanations of your main points.
• Verify facts and citations: Make sure all facts, data, and quotes in the essay are accurate. Also, check that they are cited in the required academic style (e.g. MLA, APA). Improper citations can undermine the credibility of your writing.
• Review the grammar and style: Look for common grammar mistakes, punctuation errors, and awkward phrasing. Reading the essay aloud can help catch odd sentence structures or confusing wording.
• Seek feedback: Share your essay with a peer or use online tools to get constructive criticism. A second perspective can highlight issues you might have missed.

These editing steps will help you produce a polished essay that clearly explains your main points and holds up to academic scrutiny.

Explanatory Essay Format

Understanding the explanatory essay format is key to a well-structured and logical paper. Here’s a basic breakdown of the format for an explanatory essay:

Introduction paragraph

• Begin with an interesting sentence to capture the reader’s attention.
• Give a short intro. It should set the topic and outline the essay’s purpose.
• Present a clear thesis statement summarizing the main idea of the entire essay.

Body paragraphs

• Organize the body paragraphs around logical subtopics related to the essay topic.
• Start each body paragraph with a topic sentence that aligns with the thesis.
• Show evidence from good sources. Also, give key details for each main point.
• Incorporate a robust concluding statement per paragraph that drives home your point and links to the ideas in the next paragraph/section.
• Summarize the key points.
• Provide a final statement that reinforces the main idea without introducing new information.
• Craft a concluding statement that leaves your teacher or professor with a lasting impression.

Following this essay outline ensures that your paper has a clear flow. This makes it easy for readers to understand and follow your argument.

Write Better Explanatory Essays With Smodin

Explanatory essays can be overwhelming. Presenting a solid argument, keeping your professor or teacher interested, and remembering conventions like citations can be a real headache.

But, a strong thesis and thorough research make them easier. Well-structured body paragraphs also help deliver a clear, insightful essay that maintains objectivity. Just remember to revise and check for accuracy!

AI-powered platforms like Smodin simplify and enhance the process of writing explanatory essays.

Smodin’s tools help craft clear and well-structured essays that meet any of your academic standards. With Smodin’s advanced research capabilities, you can gather detailed and relevant information quickly. This will save you time and improve your work.

• Plagiarism Checker : Ensure your essay maintains originality with Smodin’s plagiarism detection tool. This feature helps maintain academic integrity by checking your work against vast databases.
• Auto Citation : Cite your sources accurately without the hassle. Smodin’s auto-citation tool ensures your references are in the right format and meet your academic institution’s rules.
• Text Shortener : If your explanatory essay is too long, use Smodin’s AI writer as an essay shortener. It will help you cut your content without losing key details. This helps keep your essay clear and relevant.
• Text Rewriter : Helps paraphrase existing content, ensuring uniqueness and a fresh perspective.
• Summarizer : The Summarizer boils down long articles into short summaries. They are perfect for making an efficient outline or conclusion.

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Doctor of Business Administration Dissertations

The University of Dallas Satish & Yasmin Gupta College of Business follows a scholar-practitioner model approach to research. In keeping with the Mission of the College, a Doctor of Business Administration dissertation is an original, comprehensive, and scholarly investigation that is focused on making meaningful contributions to professional practice. Importantly, the knowledge created from a DBA dissertation research project should provide value to industry.

DBA Dissertations

Russell Smith. Mothers' Awareness of Their Breastfeeding Rights: A Factor Influencing Breastfeeding Rates

Brad Winton. Listen with your heart: Building job satisfaction through emotional intelligence.

Rebecca Bogie. Repairing Legitimacy after Organizational Misconduct: Signaling Remediation via Corporate Governance Change following Disclosures of Potential Criminal Liability

Cesar M. Cedillos Jr. Assessing the Impact of Career Experience on Leadership Effectiveness in a Large Equipment Rental Company.

Gabe Dickey. Exploring the human side of audit quality: Team engagement and partner leadership behaviors.

Enoch Asare. Promoting Employee Engagement through Enhanced Performance Management: A Field Study of Accountants.

Mark E. Brightenburg. A Field Study of an Employee Fit-Centered Approach to Understanding Employee Engagement across a Generation-Diverse Workforce.

Thomas M. Brill. Siri, Alexa, and Other Digital Assistants: A Study of Customer Satisfaction With Artificial Intelligence Applications.

Emmanuel Dalavai. Organizational Turnover: The Effects of Leader Servant Leadership Behaviors and Leader Emotional Intelligence on Follower Turnover Intentions.

Donna L. Morrow. An Exploration of the Reciprocal Relationship Between Job Crafting Techniques and Job Demands-Resources Job Crafting.

Sergio Robledo. The Importance of Delayed Gratification in B2B Sales.

Nikki Kissinger. The mediating effects of socially responsible practices in a sustainable supply chain: The impact on the relationship between social pressures and firm performance.

Raymond P. Pasko. Work-Related Attributes and Retention: Comparing Millennials and Other Generations.

Simone Meskelis. An Investigation of the Relationship among Honesty-Humility, Authentic Leadership and Employee Engagement.

DBA STUDENT RESEARCH

The Doctor of Business Administration program is supportive of students publishing their research in peer-reviewed journals, in books, and attend conferences where they can share their studies with other scholar practitioners.

Student Research List

Asare, E. K., & Beldona, S. 2015. The moderating effects of culture on SME access to financing. Paper presented at the 58th Annual Meeting of the Midwest Academy of Management. Columbus, Ohio.

Asare, E. K., & Beldona, S. 2016. Principal-Agent transactions: The moderating effects of culture on financing contracts. Paper presented at the 2016 Academy of International Business annual meeting. New Orleans, LA.

Asare, E. K., & Conger, S. 2016. Strategic performance management systems and employee performance. Proceedings of the 11th Iberian Conference on Information Systems and Technologies. Gran Canaria, Canary Islands, Spain: CISTI.

Asare, E. K., Kissinger, N., & Morrow, D. 2016. Sustainability and scorecards: Creating meaningfulness at work. Paper presented at the 2016 Academy of Management annual meeting. Anaheim, CA.

Asare, E. K., Kusi, S. Y., & Beldona, S. 2016. Principal-Agent Financial Transactions: The Influence of Culture and Effectuation Logic. Paper presented at the 2016 Midwest Academy of Management annual meeting. Fargo, ND.

Asare, E. K., Meskelis, S., Whittington, J. Lee, & Galpin, T. 2017. Enhancing Employee Engagement: An Evidenced-Based Integration of HR Practices and Leadership Behaviors. Paper presented at the 2017 Western Academy of Management annual meeting. Palm Springs, California.

Bogie, Rebecca A. 2015. Knowledge Sharing and Honesty-Humility. Paper presented at the 2015 Midwest Academy of Management annual meeting. Columbus, OH.

Bogie, Rebecca A. 2015. Communication and Organizational Risk Oversight. Poster presented at the Conference on Engaged Management Scholarship annual conference. Baltimore, MD.

Brightenburg, M. E. 2015. Looking for an antecedent to ethical leadership derailment. Poster presented at the Conference on Engaged Management Scholarship annual conference. Baltimore, MD.

Brightenburg, M. E., Bell, G., & Harrison, C. 2016. Non-monetary incentives and rewards: A review and research agenda. Paper presented at the 2016 Southwestern Academy of Management annual meeting. Tulsa, OK.

Brightenburg, M. E., & Maellaro, R. 2018. Working from home one day a week: A mixed methods field study. Paper presented at the 2018 Western Academy of Management annual conference. Salt Lake City, UT.

Brightenburg, M. E., & Miller, R. 2018. A theoretical model: Volunteer programs, organizational commitment, and generational differences. Paper presented at the 2018 Western Academy of Management annual conference. Salt Lake City, UT.

Brightenburg, M. E., Whittington, J. L., & Bell, G. 2018. Generational differences in work values, attitudes, and person-environment fit. Paper presented at the 2018 Academy of Management annual conference. Chicago, IL.

Brightenburg, M. E. & Whittington, J. L. 2018. Ethical leadership: A review and research agenda. Paper presented at the 2018 Western Academy of Management annual conference. Salt Lake City, UT.

Brill, T. 2016. Identity Theft Victims: Critical Influencers for Customer Loyalty Restoration. Presented at the 2016 Information Institute Conference. Las Vegas, Nevada.

Brill, T. 2017. How We Learn Impacts Intention: A Case Study on Information Security Compliance Intention. Presented at the 2017 Southwest Decision Sciences Institute’s annual conference. Little Rock, Arkansas.

Dickey, G. & Whittington, J.L. 2017. Enhancing Audit Quality: The Role of Teamwork Engagement. 2017 Engaged Management Scholarship Conference. Tampa, FL

Groves, SA. 2017. Leader-member exchange moderates the relationship between the performance management system and employee engagement in an academic medical setting. Engaged Management Scholarship Conference. Tampa, FL

Iyer, V. V., Soltwisch, B., Rush, D. E., Dickey, G. 2017. The connection: How can we effectively connect emotional learning, emotional intelligence and personality types in our classrooms for maximum learning? Presented at the Western Decision Sciences Institute annual conference.

Jares, T., Wilcox, W.E., Cahalan, J.R., Dickey, G. 2018. An examination of the effectiveness of online adaptive learning technologies. American Accounting Association Southeast Regional Conference: (Best paper award winner: Teaching, learning, and curriculum section).

Meskelis, S. Whittington, J.Lee. 2018. Work as worship: Bringing meaning to work through an integrated faith. In. Ewest, T. Faith and Work: Christian Perspectives, Research and Insights into the Movement. Information Age Publishing, Charlotte, North Carolina.

Meskelis, S., Whittington, J. L. & Beldona, S. 2016. Exploring the spirituality-meaningfulness-engagement relationship: A cross-cultural analysis. Paper presented at the 2016 Academy of International Business annual meeting. New Orleans, Louisiana, USA.

Meskelis, S., & Whittington, J. L. 2016. Honesty-Humility and its consequences in organizational settings: An exploratory study. Paper presented at the 2016 Western Academy of Management annual meeting. Portland, Oregon, USA.

Meskelis, S. Whittington, J.Lee, Beldona, S., & Galpin, T. 2017. An Integrative Model of Meaningfulness and Employee Engagement. Paper presented at the 2017 Western Academy of Management annual conference. Palm Springs, California, USA.

Meskelis, S. & Whittington, J. L. 2017. Making work meaningful or bringing meaning to work: Exploring the spritiuality-meaningfulness-engagement relationship. Paper presented at the 2017 Western Academy of Management annual conference. Palm Springs, California, USA.

Meskelis, S. & Whittington, J. L. 2019. The Deep Impact of True Leaders: An Investigation of the Relationship Among Honesty-Humility, Authentic Leadership and Employee Engagement. Paper presented at the 2019 Western Academy of Management Conference. Rohnert, California, USA.

Morrow, D., Asare, E. K., & Conger, S. 2016. Exploring SPMS and Job Crafting as Strategic Motivation for Work Meaningfulness and Engagement. Poster presented at the 2016 Engaged Management Scholarship (EMS) International Conference. Paris-Dauphine, France: EMS.

Morrow, D., Asare, E. K., & Conger, S. 2016. Exploring SPMS and Job Crafting as Strategic Motivation for Work Meaningfulness and Engagement in IT Jobs. Paper presented at the IFIPS 9.1 group on the Changing Nature of Work Workshop. Dublin, Ireland.

Morrow, D. and Conger S. 2018. Job Crafting, Mindfulness, Meaningfulness, and Work Engagement. Presented at 3rd International Symposium on Meaningful Work, Amsterdam, The Netherlands.

Morrow, D., and Conger, S. 2018. Conceptualizing job crafting: Deconstructing two streams of job crafting research, Presented at Euram2018 – Reykjavik.

Pavel, C., & Dilla, B. 2018. Investigation of efficiency in a law enforcement organization. In Academy of Management Proceedings (Vol. 2018, No. 1, p. 17022). Briarcliff Manor, NY 10510: Academy of Management.

Rogers, D. and Conger, S. 2018. Managerial cognitive ambidexterity as an antecedent to organizational knowledge acquisition and assimilation, Presented at Euram2018 – Reykjavik.

Rowsey, A. and Munoz, L. 2020. Workgroup’s Structure: A Conceptual Model of the Influence of Workgroup Structure on Employee Voice and In-role Performance among Salespeople. Presented at the Society for Marketing Advances Annual Conference.

Sargent, M.J. 2020. Rationalization – How fraudsters justify the fraud they committed. Presented at the 2020 American Accounting Association Southwest Regional Meeting, San Antonio, Texas

Sargent, M.J. 2020. Isomorphic pressure - The impact of AACSB accreditation on data analytics integration into the accounting curriculum. Presented at the 2020 American Accounting Association Southwest Regional Meeting, San Antonio, Texas

Whittington, J. L., Meskelis, S., Asare, E., & Beldona, S. 2017. Enhancing employee engagement: An evidence-based approach. Springer.

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HypoRiPPAtlas as an Atlas of hypothetical natural products for mass spectrometry database search

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• Other Affiliation: Carnegie Mellon University, Pittsburgh, PA, United States
• Other Affiliation: Department of Medicinal Chemistry, University of Michigan, Ann Arbor, MI, United States
• Other Affiliation: Carnegie Mellon University, Pittsburgh,PA, United States
• Affiliation: School of Medicine, Department of Pharmacology
• Other Affiliation: Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research, Saarbrücken, Germany
• Recent analyses of public microbial genomes have found over a million biosynthetic gene clusters, the natural products of the majority of which remain unknown. Additionally, GNPS harbors billions of mass spectra of natural products without known structures and biosynthetic genes. We bridge the gap between large-scale genome mining and mass spectral datasets for natural product discovery by developing HypoRiPPAtlas, an Atlas of hypothetical natural product structures, which is ready-to-use for in silico database search of tandem mass spectra. HypoRiPPAtlas is constructed by mining genomes using seq2ripp, a machine-learning tool for the prediction of ribosomally synthesized and post-translationally modified peptides (RiPPs). In HypoRiPPAtlas, we identify RiPPs in microbes and plants. HypoRiPPAtlas could be extended to other natural product classes in the future by implementing corresponding biosynthetic logic. This study paves the way for large-scale explorations of biosynthetic pathways and chemical structures of microbial and plant RiPP classes.
• lacticin 481
• benchmarking
• Tandem Mass Spectrometry
• intermethod comparison
• Protein Processing, Post-Translational
• mass spectrometry
• detection method
• gene expression
• data mining
• Actinobacteria
• factual database
• cross validation
• biological product
• Streptomyces
• genome analysis
• post-translationally modified protein
• Databases, Factual
• tandem mass spectrometry
• controlled study
• protein processing
• microbial genome
• natural product
• Biological Products
• computer model
• unclassified drug
• https://doi.org/10.17615/kesb-0595
• https://doi.org/10.1038/s41467-023-39905-4
• In Copyright
• Attribution 4.0 International
• Nature Communications
• PhRMA foundation predoctoral fellowship
• Pittsburgh Supercomputing Center
• National Institutes of Health, NIH, (DP2GM137413, R35GM146934)
• National Science Foundation, NSF, (ACI-1445606, DBI-2117640)
• U.S. Department of Energy, USDOE, (ACI-1548562, DE-SC0021340)
• Carnegie Mellon University, CMU
• UM Biosciences
• Nature Research

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NeurIPS 2024 Datasets and Benchmarks Track

If you'd like to become a reviewer for the track, or recommend someone, please use this form .

The Datasets and Benchmarks track serves as a venue for high-quality publications, talks, and posters on highly valuable machine learning datasets and benchmarks, as well as a forum for discussions on how to improve dataset development. Datasets and benchmarks are crucial for the development of machine learning methods, but also require their own publishing and reviewing guidelines. For instance, datasets can often not be reviewed in a double-blind fashion, and hence full anonymization will not be required. On the other hand, they do require additional specific checks, such as a proper description of how the data was collected, whether they show intrinsic bias, and whether they will remain accessible. The Datasets and Benchmarks track is proud to support the open source movement by encouraging submissions of open-source libraries and tools that enable or accelerate ML research.

The previous editions of the Datasets and Benchmarks track were highly successful; you can view the accepted papers from 2021 , 2002 , and 2023 , and the winners of the best paper awards 2021 , 2022 and 2023

CRITERIA. W e are aiming for an equally stringent review as the main conference, yet better suited to datasets and benchmarks. Submissions to this track will be reviewed according to a set of criteria and best practices specifically designed for datasets and benchmarks , as described below. A key criterion is accessibility: datasets should be available and accessible , i.e. the data can be found and obtained without a personal request to the PI, and any required code should be open source. We encourage the authors to use Croissant format ( https://mlcommons.org/working-groups/data/croissant/ ) to document their datasets in machine readable way.   Next to a scientific paper, authors should also submit supplementary materials such as detail on how the data was collected and organised, what kind of information it contains, how it should be used ethically and responsibly, as well as how it will be made available and maintained.

RELATIONSHIP TO NeurIPS.  Submissions to the track will be part of the main NeurIPS conference , presented alongside the main conference papers. Accepted papers will be officially published in the NeurIPS proceedings .

SUBMISSIONS.  There will be one deadline this year. It is also still possible to submit datasets and benchmarks to the main conference (under the usual review process), but dual submission to both is not allowed (unless you retracted your paper from the main conference). We also cannot transfer papers from the main track to the D&B track. Authors can choose to submit either single-blind or double-blind . If it is possible to properly review the submission double-blind, i.e., reviewers do not need access to non-anonymous repositories to review the work, then authors can also choose to submit the work anonymously. Papers will not be publicly visible during the review process. Only accepted papers will become visible afterward. The reviews themselves are not visible during the review phase but will be published after decisions have been made. The datasets themselves should be accessible to reviewers but can be publicly released at a later date (see below). New authors cannot be added after the abstract deadline and they should have an OpenReview profile by the paper deadline. NeurIPS does not tolerate any collusion whereby authors secretly cooperate with reviewers, ACs or SACs to obtain favourable reviews.

SCOPE. This track welcomes all work on data-centric machine learning research (DMLR) and open-source libraries and tools that enable or accelerate ML research, covering ML datasets and benchmarks as well as algorithms, tools, methods, and analyses for working with ML data. This includes but is not limited to:

• New datasets, or carefully and thoughtfully designed (collections of) datasets based on previously available data.
• Data generators and reinforcement learning environments.
• Data-centric AI methods and tools, e.g. to measure and improve data quality or utility, or studies in data-centric AI that bring important new insight.
• Advanced practices in data collection and curation that are of general interest even if the data itself cannot be shared.
• Frameworks for responsible dataset development, audits of existing datasets, identifying significant problems with existing datasets and their use
• Benchmarks on new or existing datasets, as well as benchmarking tools.
• In-depth analyses of machine learning challenges and competitions (by organisers and/or participants) that yield important new insight.
• Systematic analyses of existing systems on novel datasets yielding important new insight.

Read our original blog post for more about why we started this track.

Important dates

• Abstract submission deadline: May 29, 2024
• Full paper submission and co-author registration deadline: Jun 5, 2024
• Supplementary materials submission deadline: Jun 12, 2024
• Review deadline - Jul 24, 2024
• Release of reviews and start of Author discussions on OpenReview: Aug 07, 2024
• End of author/reviewer discussions on OpenReview: Aug 31, 2024
• Author notification: Sep 26, 2024
• Camera-ready deadline: Oct 30, 2024 AOE

Note: The site will start accepting submissions on April 1 5 , 2024.

FREQUENTLY ASKED QUESTIONS

Q: My work is in scope for this track but possibly also for the main conference. Where should I submit it?

A: This is ultimately your choice. Consider the main contribution of the submission and how it should be reviewed. If the main contribution is a new dataset, benchmark, or other work that falls into the scope of the track (see above), then it is ideally reviewed accordingly. As discussed in our blog post, the reviewing procedures of the main conference are focused on algorithmic advances, analysis, and applications, while the reviewing in this track is equally stringent but designed to properly assess datasets and benchmarks. Other, more practical considerations are that this track allows single-blind reviewing (since anonymization is often impossible for hosted datasets) and intended audience, i.e., make your work more visible for people looking for datasets and benchmarks.

Q: How will paper accepted to this track be cited?

A: Accepted papers will appear as part of the official NeurIPS proceedings.

Q: Do I need to submit an abstract beforehand?

A: Yes, please check the important dates section for more information.

Q: My dataset requires open credentialized access. Can I submit to this track?

A: This will be possible on the condition that a credentialization is necessary for the public good (e.g. because of ethically sensitive medical data), and that an established credentialization procedure is in place that is 1) open to a large section of the public, 2) provides rapid response and access to the data, and 3) is guaranteed to be maintained for many years. A good example here is PhysioNet Credentialing, where users must first understand how to handle data with human subjects, yet is open to anyone who has learned and agrees with the rules. This should be seen as an exceptional measure, and NOT as a way to limit access to data for other reasons (e.g. to shield data behind a Data Transfer Agreement). Misuse would be grounds for desk rejection. During submission, you can indicate that your dataset involves open credentialized access, in which case the necessity, openness, and efficiency of the credentialization process itself will also be checked.

SUBMISSION INSTRUCTIONS

A submission consists of:

• Please carefully follow the Latex template for this track when preparing proposals. We follow the NeurIPS format, but with the appropriate headings, and without hiding the names of the authors. Download the template as a bundle here .
• Papers should be submitted via OpenReview
• Reviewing is in principle single-blind, hence the paper should not be anonymized. In cases where the work can be reviewed equally well anonymously, anonymous submission is also allowed.
• During submission, you can add a public link to the dataset or benchmark data. If the dataset can only be released later, you must include instructions for reviewers on how to access the dataset. This can only be done after the first submission by sending an official note to the reviewers in OpenReview. We highly recommend making the dataset publicly available immediately or before the start of the NeurIPS conference. In select cases, requiring solid motivation, the release date can be stretched up to a year after the submission deadline.
• Dataset documentation and intended uses. Recommended documentation frameworks include datasheets for datasets , dataset nutrition labels , data statements for NLP , data cards , and accountability frameworks .
• URL to website/platform where the dataset/benchmark can be viewed and downloaded by the reviewers. 
• URL to Croissant metadata record documenting the dataset/benchmark available for viewing and downloading by the reviewers. You can create your Croissant metadata using e.g. the Python library available here: https://github.com/mlcommons/croissant
• Author statement that they bear all responsibility in case of violation of rights, etc., and confirmation of the data license.
• Hosting, licensing, and maintenance plan. The choice of hosting platform is yours, as long as you ensure access to the data (possibly through a curated interface) and will provide the necessary maintenance.
• Links to access the dataset and its metadata. This can be hidden upon submission if the dataset is not yet publicly available but must be added in the camera-ready version. In select cases, e.g when the data can only be released at a later date, this can be added afterward (up to a year after the submission deadline). Simulation environments should link to open source code repositories
• The dataset itself should ideally use an open and widely used data format. Provide a detailed explanation on how the dataset can be read. For simulation environments, use existing frameworks or explain how they can be used.
• Long-term preservation: It must be clear that the dataset will be available for a long time, either by uploading to a data repository or by explaining how the authors themselves will ensure this
• Explicit license: Authors must choose a license, ideally a CC license for datasets, or an open source license for code (e.g. RL environments). An overview of licenses can be found here: https://paperswithcode.com/datasets/license
• Add structured metadata to a dataset's meta-data page using Web standards (like schema.org and DCAT ): This allows it to be discovered and organized by anyone. A guide can be found here: https://developers.google.com/search/docs/data-types/dataset . If you use an existing data repository, this is often done automatically.
• Highly recommended: a persistent dereferenceable identifier (e.g. a DOI  minted by a data repository or a prefix on identifiers.org ) for datasets, or a code repository (e.g. GitHub, GitLab,...) for code. If this is not possible or useful, please explain why.
• For benchmarks, the supplementary materials must ensure that all results are easily reproducible. Where possible, use a reproducibility framework such as the ML reproducibility checklist , or otherwise guarantee that all results can be easily reproduced, i.e. all necessary datasets, code, and evaluation procedures must be accessible and documented.
• For papers introducing best practices in creating or curating datasets and benchmarks, the above supplementary materials are not required.
• For papers resubmitted after being retracted from another venue: a brief discussion on the main concerns raised by previous reviewers and how you addressed them. You do not need to share the original reviews.
• For the dual submission and archiving, the policy follows the NeurIPS main track paper guideline .

Use of Large Language Models (LLMs): We welcome authors to use any tool that is suitable for preparing high-quality papers and research. However, we ask authors to keep in mind two important criteria. First, we expect papers to fully describe their methodology, and any tool that is important to that methodology, including the use of LLMs, should be described also. For example, authors should mention tools (including LLMs) that were used for data processing or filtering, visualization, facilitating or running experiments, and proving theorems. It may also be advisable to describe the use of LLMs in implementing the method (if this corresponds to an important, original, or non-standard component of the approach). Second, authors are responsible for the entire content of the paper, including all text and figures, so while authors are welcome to use any tool they wish for writing the paper, they must ensure that all text is correct and original.

REVIEWING AND SELECTION PROCESS

Reviewing will be single-blind, although authors can also submit anonymously if the submission allows that. A datasets and benchmarks program committee will be formed, consisting of experts on machine learning, dataset curation, and ethics. We will ensure diversity in the program committee, both in terms of background as well as technical expertise (e.g., data, ML, data ethics, social science expertise). Each paper will be reviewed by the members of the committee. In select cases where ethical concerns are flagged by reviewers, an ethics review may be performed as well.

Papers will not be publicly visible during the review process. Only accepted papers will become visible afterward. The reviews themselves are also not visible during the review phase but will be published after decisions have been made. Authors can choose to keep the datasets themselves hidden until a later release date, as long as reviewers have access.

The factors that will be considered when evaluating papers include:

• Utility and quality of the submission: Impact, originality, novelty, relevance to the NeurIPS community will all be considered. 
• Reproducibility: All submissions should be accompanied by sufficient information to reproduce the results described i.e. all necessary datasets, code, and evaluation procedures must be accessible and documented. We encourage the use of a reproducibility framework such as the ML reproducibility checklist to guarantee that all results can be easily reproduced. Benchmark submissions in particular should take care to ensure sufficient details are provided to ensure reproducibility. If submissions include code, please refer to the NeurIPS code submission guidelines .  
• Was code provided (e.g. in the supplementary material)? If provided, did you look at the code? Did you consider it useful in guiding your review? If not provided, did you wish code had been available?
• Ethics: Any ethical implications of the work should be addressed. Authors should rely on NeurIPS ethics guidelines as guidance for understanding ethical concerns.  
• Completeness of the relevant documentation: Per NeurIPS ethics guidelines , datasets must be accompanied by documentation communicating the details of the dataset as part of their submissions via structured templates (e.g. TODO). Sufficient detail must be provided on how the data was collected and organized, what kind of information it contains,  ethically and responsibly, and how it will be made available and maintained. 
• Licensing and access: Per NeurIPS ethics guidelines , authors should provide licenses for any datasets released. These should consider the intended use and limitations of the dataset, and develop licenses and terms of use to prevent misuse or inappropriate use.  
• Consent and privacy: Per  NeurIPS ethics guidelines , datasets should minimize the exposure of any personally identifiable information, unless informed consent from those individuals is provided to do so. Any paper that chooses to create a dataset with real data of real people should ask for the explicit consent of participants, or explain why they were unable to do so.
• Ethics and responsible use: Any ethical implications of new datasets should be addressed and guidelines for responsible use should be provided where appropriate. Note that, if your submission includes publicly available datasets (e.g. as part of a larger benchmark), you should also check these datasets for ethical issues. You remain responsible for the ethical implications of including existing datasets or other data sources in your work.
• Legal compliance: For datasets, authors should ensure awareness and compliance with regional legal requirements.

ADVISORY COMMITTEE

The following committee will provide advice on the organization of the track over the coming years: Sergio Escalera, Isabelle Guyon, Neil Lawrence, Dina Machuve, Olga Russakovsky, Joaquin Vanschoren, Serena Yeung.

DATASETS AND BENCHMARKS CHAIRS

Lora Aroyo, Google Francesco Locatello, Institute of Science and Technology Austria Lingjuan Lyu, Sony AI

Contact: [email protected]

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