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

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Title Digital sequence information and plant genetic resources: Global policy meets interoperability
 
Creator Manzella, Daniele
Marsella, Marco
Jaiswal, Pankaj
Arnaud, Elizabeth
King, Brian
 
Subject genomics
agriculture
plant genetic resources
interoperability
data management
access and benefit-sharing
information systems
digital technology
genómica
agricultura
datos
 
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
 
Date 2023
2022-12-13T09:51:04Z
2022-12-13T09:51:04Z
 
Type Book Chapter
 
Identifier 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
9783031132759
9783031132766
https://hdl.handle.net/10568/125912
https://doi.org/10.1007/978-3-031-13276-6_10
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format p. 183-200
application/pdf
 
Publisher Springer International Publishing