Making tricot data FAIR, from collection to reuse
The Alliance of Bioversity and CIAT is enhancing the interoperability and reuse of tricot data through the development of FAIR-aligned tools and practices. By introducing standard operating procedures, ontology annotations, and improved metadata fields in ClimMob, the team supports seamless integra...
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| Format: | Poster |
| Language: | Inglés |
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Bioversity International and International Center for Tropical Agriculture
2025
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| Online Access: | https://hdl.handle.net/10568/178850 |
| _version_ | 1855538485900869632 |
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| author | 1000FARMS Platform |
| author_browse | 1000FARMS Platform |
| author_facet | 1000FARMS Platform |
| author_sort | 1000FARMS Platform |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The Alliance of Bioversity and CIAT is enhancing the interoperability and reuse of tricot data through the development of FAIR-aligned tools and practices. By introducing standard operating procedures, ontology annotations, and improved metadata fields in ClimMob, the team supports seamless integration of trial datasets across crops, sites, and projects. The improvements allow more consistent, discoverable, and impactful use of on-farm data, contributing to open science through public repositories like GitHub and Zenodo. These efforts enable researchers and partners to generate insights more efficiently and ensure that data collected from participatory trials is easier to access, understand, and reuse. The work is part of 1000FARMS and supported by the Bill & Melinda Gates Foundation. |
| format | Poster |
| id | CGSpace178850 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Bioversity International and International Center for Tropical Agriculture |
| publisherStr | Bioversity International and International Center for Tropical Agriculture |
| record_format | dspace |
| spelling | CGSpace1788502025-12-17T02:16:02Z Making tricot data FAIR, from collection to reuse 1000FARMS Platform on-farm research data collection data analysis participatory research farming systems citizen science The Alliance of Bioversity and CIAT is enhancing the interoperability and reuse of tricot data through the development of FAIR-aligned tools and practices. By introducing standard operating procedures, ontology annotations, and improved metadata fields in ClimMob, the team supports seamless integration of trial datasets across crops, sites, and projects. The improvements allow more consistent, discoverable, and impactful use of on-farm data, contributing to open science through public repositories like GitHub and Zenodo. These efforts enable researchers and partners to generate insights more efficiently and ensure that data collected from participatory trials is easier to access, understand, and reuse. The work is part of 1000FARMS and supported by the Bill & Melinda Gates Foundation. 2025-09 2025-12-16T14:06:27Z 2025-12-16T14:06:27Z Poster https://hdl.handle.net/10568/178850 en Open Access application/pdf Bioversity International and International Center for Tropical Agriculture 1000FARMS Platform (2025) Making tricot data FAIR, from collection to reuse. 1 p. |
| spellingShingle | on-farm research data collection data analysis participatory research farming systems citizen science 1000FARMS Platform Making tricot data FAIR, from collection to reuse |
| title | Making tricot data FAIR, from collection to reuse |
| title_full | Making tricot data FAIR, from collection to reuse |
| title_fullStr | Making tricot data FAIR, from collection to reuse |
| title_full_unstemmed | Making tricot data FAIR, from collection to reuse |
| title_short | Making tricot data FAIR, from collection to reuse |
| title_sort | making tricot data fair from collection to reuse |
| topic | on-farm research data collection data analysis participatory research farming systems citizen science |
| url | https://hdl.handle.net/10568/178850 |
| work_keys_str_mv | AT 1000farmsplatform makingtricotdatafairfromcollectiontoreuse |