Research data support services at Yale come from a variety of units. Support staff work with researchers at each stage of the data life cycle — whether you need to locate others’ data; use your own data; find a way to manage, store, and describe that data; analyze the data; or preserve and share it for future researchers.


Interactive Solutions

Workshops, Consultations, and Training

Yale units provide workshops for members of the community regarding research data management; consultations on data practices, research needs, and the options available to specific labs or individuals; and correspondence by email for questions and referrals. See the Training Calendar for information on workshops from Research Data Support Services (RDSS), YCRC, the DH Lab, StatLab, and other units at Yale.

The Yale University Library manages Yale’s membership in Data Management Planning Tool (DMPtool) from the California Digital Library.

Research Data Support Services

The Research Data Support Services group is an excellent first stop for your questions. RDSS brings together specialists from around campus who consult with researchers and labs on their data management needs. Consultants have answered questions about how to write a data management plan, how to clean data, where to store data, and more.

This group includes contributors from Center for Science and Social Science Information, Cushing/Whitney Medical Library, Digital Scholarship Services (DHLab and StatLab), Metadata and Technical Services, and Preservation, as well as experts from ITS, the Center for Research Computing, Center for Teaching and Learning, and other Yale units. RDSS also maintains this site as a portal for research data support services.

The types of consultations RDSS sees include:

  • Identifying repositories for short- or long-term dataset storage.
  • Preparing data for long-term archiving.
  • Identifying metadata standards, file formats, and database design.
  • Licensing and working with copyrighted datasets.
  • Citing and providing citations for your (or others’) data.
  • Navigating data use agreements and other restricted data limitations.

RDSS will also refer to places where you can find assistance with storage options, locating appropriate data for your project, GIS options, statistical analysis/computing resources, and Yale’s Research Data Policy. Its strategic partnership among many Yale units makes these referrals easy.

Self-Service Solutions

Create a data management plan

Yale researchers may use the Data Management Planning Tool (DMPtool) to create, review, and share data management plans that are in accordance with institutional and funder requirements.

Find a research data repository

The Registry of Research Data Repositories provides a fast and easy way to determine if your data is appropriate for a repository.

Learn about research data management at your own pace

If you want basic education on research data management but do not have the time for a workshop or consultation, on-demand data management best practices tutorials can be found online.

The Yale University Library maintains research data management guides filled with tools, resources, and helpful URLs for learning about specific aspects of RDM, including funding mandates, discipline-specific metadata standards, and how to write a data management plan. 

Many others come out of the United Kingdom and Europe, which have different funding contexts from the United States:

Identify relevant data resources available from the Yale University Library

Yale University Library data resources and collections:

Contact centers, initiatives, and staff who support researchers and their data

Get further assistance with research at Yale

The Yale Research Portal provides information about various services and tools available across the University for group and individual research projects.