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The General Repository Comparison Chart and FAIRsharing Collection (https://fairsharing.org/collection/GeneralRepositoryComparison) is an outcome of the NIH Workshop on the Role of Generalist Repositories to Enhance Data Discoverability and Reuse held 11-12 February 2020 (workshop summary). Following the workshop, representatives of the participating generalist repositories collaborated to develop a tool researchers could use to make decisions about selecting a general repository. We intend for the content to be dynamically updated through our partnership with FAIRsharing. As we work towards that goal, we currently have a static version of the comparison.
\n\nIt is important to state that researchers should first determine if an appropriate domain repository exists for their research data. Tools such as FAIRsharing.org and re3data.org can help with this determination. If using a domain repository is not possible, then a researcher should review both the general repository chart and consider their own institutional repository as a possible location to store their data. Researchers need to comply with the requirements of their community, funder, country, publisher, and possibly others to ensure the best repository is selected.
\n\n
\nFor those interested in continuing the discussion on the role of generalist repositories to enhance data discoverability and reuse, please consider joining the Research Data Alliance (RDA) and particularly the joint RDA/Force11 FAIRsharing WG (https://www.rd-alliance.org/group/fairsharing-registry-connecting-data-policies-standards-databases.html). There is now an RDA Community to support conversation and a mailing list you join (https://www.rd-alliance.org/groups/generalist-repository-comparison-chart-management-group). Watch for relevant sessions in the upcoming plenaries.
Digital products created for the AGU Open Science Leadership Program by AGU, or in partnership with AGU will be considered for inclusion in this community.
\r\n\r\nThis community will not include datasets or other materials associated with the publications by authors submitting to AGU's journals, or other journals.
\r\n\r\nThis community was previously known as AGU Data Leadership.
\r\n", "description": "This community includes presentations and other materials developed to support AGU's members and their organizations around data sharing, data management, data citation, software sharing, software citation, and related topics.", "page": "", "title": "AGU Open Science Leadership" }, "revision_id": 0, "slug": "agu-data-leadership", "updated": "2023-04-27T13:43:58.418098+00:00" }, { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2022-12-15T16:30:25.129211+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "e30d4cbc-4099-459f-9723-3190b0b736b0", "links": {}, "metadata": { "description": "Generalist Repository Ecosystem Initiative (GREI) aims to develop collaborative approaches for data management and sharing through inclusion of the generalist repositories in the NIH data ecosystem.", "funding": [ { "award": { "id": "01cwqze88::1OT2DB000005-01" }, "funder": { "id": "01cwqze88" } }, { "award": { "id": "01cwqze88::1OT2DB000002-01" }, "funder": { "id": "01cwqze88" } }, { "award": { "id": "01cwqze88::1OT2DB000001-01" }, "funder": { "id": "01cwqze88" } }, { "award": { "id": "01cwqze88::1OT2DB000013-01" }, "funder": { "id": "01cwqze88" } }, { "award": { "id": "01cwqze88::1OT2DB000004-01" }, "funder": { "id": "01cwqze88" } }, { "award": { "id": "01cwqze88::1OT2DB000003-01" }, "funder": { "id": "01cwqze88" } }, { "award": { "id": "01cwqze88::1OT2DB000006-01" }, "funder": { "id": "01cwqze88" } } ], "organizations": [ { "id": "01cwqze88" } ], "page": "GREI is an initiative funded by NIH Office of Data Science Strategy to further enhance the biomedical data ecosystem and help researchers find and share data from NIH-funded studies in generalist repositories.
\n\nThe long-term vision for GREI is to develop collaborative approaches for data management and sharing through inclusion of the generalist repositories in the NIH data ecosystem. GREI also aims to better enable search and discovery of NIH-funded data in the generalist repositories.
\n\nMore info available on the NIH ODSS' GREI website.
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