Digital Commons Data@Becker

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 [e-mail] Commons Data@Becker（简称DCD@Becker）是圣路易斯华盛顿大学医学院（Washington University School of Medicine in St. Louis，简称WashU Medicine）的机构数据仓储，为该校医学院的教职员工、职员、学生及受训人员提供符合资助方与出版方政策要求的数据共享与支持文件上传平台。该仓储由伯纳德·贝克尔医学图书馆（Bernard Becker Medical Library）管理维护，是一款可接收全类型数据的通用型仓储，同时支持开放获取与受控访问两种模式。针对涉及人类受试者的敏感数据，将根据知情同意书条款及华盛顿大学人类研究保护办公室的指导要求，按需提供受控访问权限。受控访问的数据需由请求方所在机构签署《数据传输与使用协议》（Data Transfer and Use Agreement，DTUA）。如需了解受控数据访问的更多详情，请参阅常见问题（FAQ）文档。DCD@Becker是Mendeley Data的机构实例——该平台是美国国立卫生研究院（National Institutes of Health, NIH）支持的GREI数据仓储之一，符合NIH推荐的联邦资助研究用数据仓储的理想特性。为提升数据集元数据质量，该仓储采用规范化流程开展数据编目工作，由贝克尔数据管理与共享团队协助上传者确保数据集遵循FAIR原则（Findable, Accessible, Interoperable, and Reusable），具体工作包括：采集丰富的元数据与永久标识符（如ORCID标识符、研究机构注册表（Research Organization Registry, ROR）、研究资源标识符（Research Resource Identifier, RRIDs）、协议数字对象标识符（Digital Object Identifier, DOI）等），将文件转换为开放格式（如csv、txt、pdf、tiff），并收集数据字典、README文件、代码手册、调查工具等关键文档以支撑数据的解读与复用。此外，DCD@Becker支持单文件最大尺寸达100GB。该仓储采用DataCite元数据架构，为所有数据集分配数字对象标识符（DOI），确保其可通过网络搜索与永久链接在线获取。该仓储具备完善的长期保存方案，以保障数据的长期可访问性。如需了解更多信息，请访问https://digitalcommonsdata.wustl.edu/research-data/ 或联系[e-mail]。

搜集汇总

背景与挑战

背景概述

Digital Commons Data@Becker是华盛顿大学圣路易斯医学院的机构数据存储库，为教职员工、学生和受训人员提供数据共享平台，支持开放和受控访问，并遵循NIH推荐的数据存储库标准。该存储库通过数据管理服务确保数据符合FAIR原则，并分配DOI以实现持久可发现性。