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CG Core Metadata Reference Guide
The document outlines the development of the CG Core metadata reference guide aimed at improving the accessibility, findability, interoperability, and reusability of CGIAR research outputs. It discusses the transition from CG Core version 1 to version 2, which aligns with the Dublin Core schema and provides standardized metadata guidelines. Additionally, it highlights the significance of CG Core in fostering innovations such as the GARDIAN fairification workflow and CGSpace Explorer.
CG Core Metadata Reference Guide
- 1. Better lives throughlivestock CG Core Metadata Reference Guide Abenet Yabowork Knowledge Curation Manager International Livestock Research Institute Marie-Angelique Laporte Associate Scientist Alliance of Bioversity International and CIAT Agricultural Research Data Network for Modeling and Analytics (ARDN-MA), Virtual Hackathon, 17 – 20 November 2020
- 2. 2 Context Adoption of opensource institutional repositories (E.g. DSpace, CKAN, and Dataverse in late 2000s) Commitment to improve accessibility and findability of CGIAR research outputs Need to create meaningful interoperability among CGIAR platforms and systems Need for improved reporting and impact assessment
- 3. 3 CG Core Version1 Set of elements applicable across CGIAR repositories Intended to enable consistent annotation of research products Aimed at improving Findability, Accessibility, Interoperability and Reusability of CGIAR digital assets CGcore v1 is not closely related to existing metadata schemas Lack of exact mapping to generic and widely- adopted metadata schemas and lack of clear guidelines on how to use them were hindering required level of interoperability within and beyond the CGIAR
- 4. 4 CG Core Version2 Application profile based on Dublin Core: clearly maps to the schema Improves Findability, Accessibility, Interoperability and Reusability of CGIAR digital assets Cuts duplication of contents across the CGIAR by enabling interoperability Gives standardized guidance about metadata fields and controlled vocabularies (E.g. Using AGROVOC, ORCID, ISO 639 alpha 3, SPDX etc)
- 5. 5 CG Core hasbeen instrumental in developing innovations Global Agricultural Research Data Innovation Acceleration Network GARDIAN FAIRification Workflow CGSpace Explorer (a tool to find, explore and visualize open repository resources) CGLabs
- 6. 6 CG core version2: https://agriculturalsemantics.github.io/cg-core/cgcore.html GARDIAN: https://gardian.bigdata.cgiar.org CGSpace explorer: https://cgspace.cgiar.org/explorer/ FAIRification workflow: https://gardian.bigdata.cgiar.org/fair-workflow.php Links:
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