Governing agricultural data: Challenges and recommendations
The biomedical domain has shown that in silico analyses over vast data pools enhances the speed and scale of scientific innovation. This can hold true in agricultural research and guide similar multi-stakeholder action in service of global food security as well (Streich et al. Curr Opin Biotechnol 6...
| Main Authors: | , , , |
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| Format: | Book Chapter |
| Language: | Inglés |
| Published: |
Springer
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/125916 |
| _version_ | 1855522040584339456 |
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| author | Devare, Medha Arnaud, Elizabeth Antezana, Erick King, Brian |
| author_browse | Antezana, Erick Arnaud, Elizabeth Devare, Medha King, Brian |
| author_facet | Devare, Medha Arnaud, Elizabeth Antezana, Erick King, Brian |
| author_sort | Devare, Medha |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The biomedical domain has shown that in silico analyses over vast data pools enhances the speed and scale of scientific innovation. This can hold true in agricultural research and guide similar multi-stakeholder action in service of global food security as well (Streich et al. Curr Opin Biotechnol 61:217–225. Retrieved from https://doi.org/10.1016/j.copbio.2020.01.010, 2020). However, entrenched research culture and data and standards governance issues to enable data interoperability and ease of reuse continue to be roadblocks in the agricultural research for development sector. Effective operationalization of the FAIR Data Principles towards Findable, Accessible, Interoperable, and Reusable data requires that agricultural researchers accept that their responsibilities in a digital age include the stewardship of data assets to assure long-term preservation, access and reuse. The development and adoption of common agricultural data standards are key to assuring good stewardship, but face several challenges, including limited awareness about standards compliance; lagging data science capacity; emphasis on data collection rather than reuse; and limited fund allocation for data and standards management. Community-based hurdles around the development and governance of standards and fostering their adoption also abound. This chapter discusses challenges and possible solutions to making FAIR agricultural data assets the norm rather than the exception to catalyze a much-needed revolution towards “translational agriculture”. |
| format | Book Chapter |
| id | CGSpace125916 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1259162025-11-06T03:58:17Z Governing agricultural data: Challenges and recommendations Devare, Medha Arnaud, Elizabeth Antezana, Erick King, Brian governance agriculture data standards interoperability data management gobernanza agricultura normas datos The biomedical domain has shown that in silico analyses over vast data pools enhances the speed and scale of scientific innovation. This can hold true in agricultural research and guide similar multi-stakeholder action in service of global food security as well (Streich et al. Curr Opin Biotechnol 61:217–225. Retrieved from https://doi.org/10.1016/j.copbio.2020.01.010, 2020). However, entrenched research culture and data and standards governance issues to enable data interoperability and ease of reuse continue to be roadblocks in the agricultural research for development sector. Effective operationalization of the FAIR Data Principles towards Findable, Accessible, Interoperable, and Reusable data requires that agricultural researchers accept that their responsibilities in a digital age include the stewardship of data assets to assure long-term preservation, access and reuse. The development and adoption of common agricultural data standards are key to assuring good stewardship, but face several challenges, including limited awareness about standards compliance; lagging data science capacity; emphasis on data collection rather than reuse; and limited fund allocation for data and standards management. Community-based hurdles around the development and governance of standards and fostering their adoption also abound. This chapter discusses challenges and possible solutions to making FAIR agricultural data assets the norm rather than the exception to catalyze a much-needed revolution towards “translational agriculture”. 2023 2022-12-13T14:23:39Z 2022-12-13T14:23:39Z Book Chapter https://hdl.handle.net/10568/125916 en Open Access application/pdf Springer Devare, M.; Arnaud, E.; Antezana, E.; King, B. (2022) Governing agricultural data: Challenges and recommendations. In: Williamson, H.F.; Leonelli, S. (eds) Towards responsible plant data linkage: Data challenges for agricultural research and development. Cham (Switzerland): Springer. 22 p. Online first (27 October 2022). ISBN: 978-3-031-13276-6 |
| spellingShingle | governance agriculture data standards interoperability data management gobernanza agricultura normas datos Devare, Medha Arnaud, Elizabeth Antezana, Erick King, Brian Governing agricultural data: Challenges and recommendations |
| title | Governing agricultural data: Challenges and recommendations |
| title_full | Governing agricultural data: Challenges and recommendations |
| title_fullStr | Governing agricultural data: Challenges and recommendations |
| title_full_unstemmed | Governing agricultural data: Challenges and recommendations |
| title_short | Governing agricultural data: Challenges and recommendations |
| title_sort | governing agricultural data challenges and recommendations |
| topic | governance agriculture data standards interoperability data management gobernanza agricultura normas datos |
| url | https://hdl.handle.net/10568/125916 |
| work_keys_str_mv | AT devaremedha governingagriculturaldatachallengesandrecommendations AT arnaudelizabeth governingagriculturaldatachallengesandrecommendations AT antezanaerick governingagriculturaldatachallengesandrecommendations AT kingbrian governingagriculturaldatachallengesandrecommendations |