QDR at MIT
As of 10/2023 MIT is a member of the Qualitative Data Repository (QDR); the MIT community is invited to publish their qualitative (and mixed/multi-method) research with the QDR.
Established in 2014, QDR is funded by the National Science Foundation and hosted by the Center for Qualitative and Multi-Method Inquiry, a unit of the Maxwell School of Citizenship and Public Affairs at Syracuse University. The QDR is an archive for storing or sharing data generated or collected through qualitative and multi-method research often by researchers in the social and health sciences, law, education, and the humanities fields.
Our membership supports the curation and preservation of data projects deposited by MIT students, faculty, and research staff for a limited number of projects each year. Individual researchers can consult with QDR about qualitative data curation, including discussions about disclosure issues, metadata creation, and more. Please start these conversations early and consult QDR at the beginning of a project before data collection or during the data management planning stage for any grant submissions. If you are applying for a large or multi-year grant, please consult with QDR before designating them as a repository. There may be additional costs for large-scale or multi-year projects.
Accessing benefits
To access MIT membership benefits at the QDR please send data-management@mit.edu an email containing this information and responding to these questions:
- A brief description of your research with short and long term goals
- If this is for a prospective project, and you have a draft data management and sharing plan, please consider sharing that draft — no matter how preliminary
- If this is for a project where the data collection has already been completed, please consider sharing the informed consent under which the project was conducted
- The type of research you will be doing, e.g., archival, or interview-based research, and if you are working on sensitive topics where you need to de-identify content
- What types of digital artifacts or research objects research outputs do expect to produce and / or manage (e.g., data, analysis scripts, images/video, audio recordings, text files, etc.)?
- During the execution of the project, who will need to have access to your data?
- What are the funder or publisher requirements for sharing your data after the end of the project (if known)?
- Do you anticipate needing restrictions on secondary access (post-publication access by potential future researchers/communities) to these data?
Resources
The QDR website also provides extensive guidance for managing, sharing, citing, and reusing qualitative data:
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- Template language for consent forms and data management plans
- Qualitative data management plan checklist
- Tips for managing research files during your project
- General guidance on human subjects and publishing (including the different access controls possible in the QDR)
- Teaching resources to integrate teaching data management practices
- Managing Qualitative Data Modules and Exercises
- General QDR Curation Handbook
- The types of data deposited include text, images, audio, video, maps, and computer-assisted qualitative data (CAQDAS). QDR requests to be contacted before uploading large amounts of data or individual files larger than 2 GBs to facilitate the transfer of large volumes of data.
- Please see the FAQs with common questions answered about QDR.
Accessing QDR and Depositing Research Outputs
- Contact data-management@mit.edu to receive access for your project. Once project access permissions are given,
- Login at [qdr.syr.edu] using your MIT credentials
- Read the General Terms & Conditions of Use
- Deposit Data, Discover Data, or Browse Resources
- Initiate a deposit by clicking the “Deposit Data” button on the home page or the “New Project” button
- Access your content via the “My Data” button
- Deposit, draft, publish, unpublish files and projects, or see your project under review
Contact & help
If you need assistance with managing and/or publishing qualitative data, you can always reach out to us at data-management@mit.edu
If you have questions specific to the Qualitative Data Repository, feel free to reach out to them directly: qdr@syr.edu
Adapted from these library guides: https://guides.nyu.edu/QDA/publishing; https://blog.library.villanova.edu/2019/01/15/qdr-a-warehouse-of-qualitative-data/; https://guides.library.upenn.edu/QDA/qualdatasharing