Digital sequence information and plant genetic resources: Global policy meets interoperability

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...

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Autores principales: Manzella, Daniele, Marsella, Marco, Jaiswal, Pankaj, Arnaud, Elizabeth, King, Brian
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: Springer 2023
Materias:
Acceso en línea:https://hdl.handle.net/10568/125912
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author Manzella, Daniele
Marsella, Marco
Jaiswal, Pankaj
Arnaud, Elizabeth
King, Brian
author_browse Arnaud, Elizabeth
Jaiswal, Pankaj
King, Brian
Manzella, Daniele
Marsella, Marco
author_facet Manzella, Daniele
Marsella, Marco
Jaiswal, Pankaj
Arnaud, Elizabeth
King, Brian
author_sort Manzella, Daniele
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
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spelling CGSpace1259122025-11-05T12:44:16Z Digital sequence information and plant genetic resources: Global policy meets interoperability Manzella, Daniele Marsella, Marco Jaiswal, Pankaj Arnaud, Elizabeth King, Brian genomics agriculture plant genetic resources interoperability data management access and benefit-sharing information systems digital technology genómica agricultura 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 2022-12-13T09:51:04Z 2022-12-13T09:51:04Z Book Chapter https://hdl.handle.net/10568/125912 en Open Access application/pdf Springer Manzella, D.; Marsella, M.; Jaiswal, P.; Arnaud, E.; King, B. (2022). Digital sequence information and plant genetic resources: Global policy meets interoperability. In: Williamson, H.F.; Leonelli, S. (eds) Towards responsible plant data linkage: Data challenges for agricultural research and development. Cham (Switzerland): Springer. 17 p. Online first (27 October 2022). ISBN: 978-3-031-13276-6
spellingShingle genomics
agriculture
plant genetic resources
interoperability
data management
access and benefit-sharing
information systems
digital technology
genómica
agricultura
datos
Manzella, Daniele
Marsella, Marco
Jaiswal, Pankaj
Arnaud, Elizabeth
King, Brian
Digital sequence information and plant genetic resources: Global policy meets interoperability
title Digital sequence information and plant genetic resources: Global policy meets interoperability
title_full Digital sequence information and plant genetic resources: Global policy meets interoperability
title_fullStr Digital sequence information and plant genetic resources: Global policy meets interoperability
title_full_unstemmed Digital sequence information and plant genetic resources: Global policy meets interoperability
title_short Digital sequence information and plant genetic resources: Global policy meets interoperability
title_sort digital sequence information and plant genetic resources global policy meets interoperability
topic genomics
agriculture
plant genetic resources
interoperability
data management
access and benefit-sharing
information systems
digital technology
genómica
agricultura
datos
url https://hdl.handle.net/10568/125912
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AT arnaudelizabeth digitalsequenceinformationandplantgeneticresourcesglobalpolicymeetsinteroperability
AT kingbrian digitalsequenceinformationandplantgeneticresourcesglobalpolicymeetsinteroperability