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    Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development

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    Contributor(s)
    Williamson, Hugh F. (editor)
    Leonelli, Sabina (editor)
    Collection
    UK Research and Innovation
    Language
    English
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    Abstract
    This open access book provides the first systematic overview of existing challenges and opportunities for responsible data linkage, and a cutting-edge assessment of which steps need to be taken to ensure that plant data are ethically shared and used for the benefit of ensuring global food security – one of the UN’s Sustainable Development Goals. The volume focuses on the contemporary contours of such challenges through sustained engagement with current and historical initiatives and discussion of best practices and prospective future directions for ensuring responsible plant data linkage. The volume is divided into four sections that include case studies of plant data use and linkage in the context of particular research projects, breeding programs, and historical research. It address technical challenges of data linkage in developing key tools, standards and infrastructures, and examines governance challenges of data linkage in relation to socioeconomic and environmental research and data collection. Finally, the last section addresses issues raised by new data production and linkage methods for the inclusion of agriculture’s diverse stakeholders. This book brings together leading experts in data curation, data governance and data studies from a variety of fields, including data science, plant science, agricultural research, science policy, data ethics and the philosophy, history and social studies of plant science.
    URI
    https://library.oapen.org/handle/20.500.12657/59373
    Keywords
    plant sciences and data linkage; Technical Challenges of Data Linkage; Governance Challenges of Data Linkage; Subsistence and Agronomy: Carl Linnaeus; Managing Data in Crop Breeding; Data, Duplication, and the Decentralisation of Crop Collections; Data Management multi-Disciplinary African RTB Crop Breeding; Potential of Long-Term Agricultural Experiments; Trials of Linking and Sharing Wheat Research Data; Plant Scientific Data Integration; Building Community Standards plant scientific data integration; Consistent Data Lifecycle plant sciences; COVID-19 Open Research Dataset; agriculture data sciences; Digital Marketplace for Agrobiodiversity; Plant Genetic Sequence Data; Digital Sequence Genetic Resources plant sciences; plant sciences data policy; Crop Diversity Management data sharing
    DOI
    10.1007/978-3-031-13276-6
    ISBN
    9783031132766, 9783031132766
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2023
    Grantor
    • University of Exeter - [...]
    • UK Research and Innovation
    Imprint
    Springer International Publishing
    Classification
    Philosophy of science
    Botany and plant sciences
    Algorithms and data structures
    Artificial intelligence
    Pages
    317
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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