Description
Digital Commons Data@Becker (DCD@Becker) is the institutional data repository for Washington University School of Medicine in St. Louis (WashU Medicine), providing a platform for faculty, staff, students, and trainees at WashU Medicine to share their data and supporting files in compliance with funder and publisher policies. It is administered and maintained by Bernard Becker Medical Library and serves as a generalist repository that accepts all types of data. DCD@Becker supports both open and controlled access. In the case of sensitive data such as data from human participants, controlled access is provided as needed in accordance with informed consent language and guidance from the WashU Human Research Protection Office. Access to data under controlled access requires the requestor’s institution to sign a Data Transfer and Use Agreement (DTUA). For more details on accessing controlled data, please refer to the FAQ document. DCD@Becker is an institutional instance of Mendeley Data—one of the NIH-supported GREI repositories—and meets the desirable characteristics of data repositories for federally funded research recommended by the NIH. To improve dataset metadata quality, data curation is conducted in a controlled manner, with the Becker Data Management and Sharing Team assisting depositors to ensure data adhere to FAIR principles (Findable, Accessible, Interoperable, and Reusable). This includes collecting rich metadata and persistent identifiers (e.g., ORCID IDs, ROR, RRIDs, DOIs for protocols), converting files into open formats (e.g., csv, txt, pdf, tiff), and gathering key documentation such as data dictionaries, README files, codebooks, and survey instruments to support interpretation and reuse. In addition, DCD@Becker supports file sizes up to 100 GB. DCD@Becker uses the DataCite metadata schema and assigns DOIs for all datasets, ensuring they are discoverable online via web search and persistent links. The repository has a robust preservation plan to support long-term access to data. For more information, visit https://digitalcommonsdata.wustl.edu/research-data/ or contact BeckerDMS@wustl.edu.