{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T05:21:29Z","timestamp":1736400089958,"version":"3.32.0"},"reference-count":17,"publisher":"Ubiquity Press, Ltd.","license":[{"start":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T00:00:00Z","timestamp":1736294400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["Projektnummer 316803389 SFB 1280 (project INF)"],"award-info":[{"award-number":["Projektnummer 316803389 SFB 1280 (project INF)"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CODATA"],"abstract":"<jats:p>Research data management (RDM) is key to fast and effective cooperation in collaborative research projects, especially when several scientific disciplines are involved. Critical steps in RDM are the agreement and implementation of common standards for metadata and data storage. The practice paper outlines the approach of the interdisciplinary Collaborative Research Center (CRC) 1280 \u2018Extinction Learning\u2019 with 81 researchers from biology, psychology, medicine, and computational neuroscience across four different institutions. This framework can serve as a transferable model for other collaborative research initiatives lacking predefined metadata schemas or repositories.\nSpecifically, the iterative process of agreeing on 16 metadata fields that correspond most highly with the involved research disciplines for collaboration is discussed. To increase reusability, mappings to the Dublin Core and DataCite bibliometric standards were established for descriptive metadata fields. Moreover, we deploy controlled vocabularies and terminology tailored to the respective disciplines and to the organizational structure of the CRC. Using this metadata schema, neuroscientific data from more than 3,200 human subjects and lab animals are currently shared within the CRC. To enable implementation of this schema in active research, open-source applications have been developed that store metadata as local JSON files along with research data and make metadata searchable. The development of the metadata schema and its subsequent use are illustrated with particular emphasis on design principles that allow for reuse in other RDM domains and the lessons learned.<\/jats:p>","DOI":"10.5334\/dsj-2025-002","type":"journal-article","created":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T10:36:54Z","timestamp":1736332614000},"page":"2","source":"Crossref","is-referenced-by-count":0,"title":["From Bench to Brain: A Metadata-driven Approach to Research Data Management in a Collaborative Neuroscientific Research Center"],"prefix":"10.5334","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6602-6746","authenticated-orcid":false,"given":"Marlene","family":"Pacharra","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9994-0910","authenticated-orcid":false,"given":"Tobias","family":"Otto","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2966-4057","authenticated-orcid":false,"given":"Nina Olivia Caroline","family":"Winter","sequence":"additional","affiliation":[]}],"member":"3285","published-online":{"date-parts":[[2025,1,8]]},"reference":[{"key":"key20250108103645_B1","volume-title":"DataCite metadata schema for the publication and citation of research data. Version 4.2","author":"DataCite Metadata Working Group","year":"2019"},{"key":"key20250108103645_B2","volume-title":"DataCite to Dublin Core mapping 4.4","author":"DataCite Metadata Working Group","year":"2021"},{"key":"key20250108103645_B3","volume-title":"Guidelines for safeguarding good research practice. Code of Conduct","author":"DFG [Deutsche Forschungsgemeinschaft]","year":"2022"},{"key":"key20250108103645_B4","unstructured":"DFG [Deutsche Forschungsgemeinschaft]. (2024) Facts and figures, last updated 30 April 2024. Available at: https:\/\/www.dfg.de\/en\/research-funding\/funding-opportunities\/programmes\/coordinated-programmes\/collaborative-research-centres\/facts-figures (Accessed: 15 May 2024)."},{"key":"key20250108103645_B5","unstructured":"Diers, E., Otto, T. and Pacharra, M. (2024) DatabaseCreate. Available at: https:\/\/gitlab.ruhr-uni-bochum.de\/sfb1280\/DatabaseCreate (Accessed: 15 May 2024)."},{"key":"key20250108103645_B6","volume-title":"Subject code generator (v1.1)","year":"2023"},{"key":"key20250108103645_B7","volume-title":"DatabaseApp (v3.0)","year":"2024"},{"key":"key20250108103645_B8","unstructured":"Dublin Core Metadata Initiative. (2012) DCMI metadata terms, date issued: 2012-06-14. Available at: https:\/\/www.DublinCore.org\/specifications\/dublin-core\/dcmi-terms\/2012-06-14\/ (Accessed: 15 May 2024)."},{"key":"key20250108103645_B9","article-title":"\u2018Making data management feel easy: Integration of a Hyrax data repository into the research process\u2019","year":"2023"},{"key":"key20250108103645_B10","doi-asserted-by":"crossref","first-page":"160044","DOI":"10.1038\/sdata.2016.44","article-title":"\u2018The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments\u2019","volume":"3","year":"2016","journal-title":"Scientific Data"},{"issue":"2","key":"key20250108103645_B11","first-page":"1","article-title":"\u2018Research data management and data sharing for reproducible research-results of a community survey of the German national research data infrastructure initiative neuroscience\u2019","volume":"10","year":"2023","journal-title":"eNeuro"},{"key":"key20250108103645_B12","volume-title":"Research data management policy of the collaborative research centre SFB 1280 \u201cExtinction Learning\u201d (v1.0)","year":"2022"},{"key":"key20250108103645_B13","first-page":"1","article-title":"\u2018Bringing neuroscientific data to sustainability: Embedded data stewardship in CRC 1280\u2019","volume":"2","year":"2024","journal-title":"Bausteine Forschungsdatenmanagement"},{"key":"key20250108103645_B14","unstructured":"Regulation (EU) 2016\/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95\/46\/EC (General Data Protection Regulation). (2016) Official Journal, L 119, 1\u201388. Available at: http:\/\/data.europa.eu\/eli\/reg\/2016\/679\/oj"},{"key":"key20250108103645_B15","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1038\/s41587-019-0080-8","article-title":"\u2018FAIRsharing as a community approach to standards, repositories and policies\u2019","volume":"37","year":"2019","journal-title":"Nature Biotechnology"},{"key":"key20250108103645_B16","doi-asserted-by":"crossref","first-page":"160018","DOI":"10.1038\/sdata.2016.18","article-title":"\u2018The FAIR guiding principles for scientific data management and stewardship\u2019","volume":"3","year":"2016","journal-title":"Scientific Data"},{"key":"key20250108103645_B17","volume-title":"MetaDataApp v3.0","year":"2024"}],"container-title":["Data Science Journal"],"original-title":[],"link":[{"URL":"https:\/\/account.datascience.codata.org\/index.php\/up-j-dsj\/article\/download\/1762\/1407","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/account.datascience.codata.org\/index.php\/up-j-dsj\/article\/download\/1762\/1408","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/account.datascience.codata.org\/index.php\/up-j-dsj\/article\/download\/1762\/1409","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/account.datascience.codata.org\/index.php\/up-j-dsj\/article\/download\/1762\/1407","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T10:42:31Z","timestamp":1736332951000},"score":1,"resource":{"primary":{"URL":"https:\/\/account.datascience.codata.org\/index.php\/up-j-dsj\/article\/view\/1762"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,8]]},"references-count":17,"URL":"https:\/\/doi.org\/10.5334\/dsj-2025-002","relation":{},"ISSN":["1683-1470"],"issn-type":[{"value":"1683-1470","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,8]]}}}