TY - BOOK ID - 101921989 TI - Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development AU - Williamson, Hugh F. AU - Leonelli, Sabina. PY - 2023 SN - 3031132769 3031132750 PB - Cham Springer Nature DB - UniCat KW - Science—Philosophy. KW - Botany. KW - Artificial intelligence—Data processing. KW - Philosophy of Science. KW - Plant Science. KW - Data Science. KW - Botanical science KW - Floristic botany KW - Phytobiology KW - Phytography KW - Phytology KW - Plant biology KW - Plant science KW - Biology KW - Natural history KW - Plants KW - plant sciences and data linkage KW - Technical Challenges of Data Linkage KW - Governance Challenges of Data Linkage KW - Subsistence and Agronomy: Carl Linnaeus KW - Managing Data in Crop Breeding KW - Data, Duplication, and the Decentralisation of Crop Collections KW - Data Management multi-Disciplinary African RTB Crop Breeding KW - Potential of Long-Term Agricultural Experiments KW - Trials of Linking and Sharing Wheat Research Data KW - Plant Scientific Data Integration KW - Building Community Standards plant scientific data integration KW - Consistent Data Lifecycle plant sciences KW - COVID-19 Open Research Dataset KW - agriculture data sciences KW - Digital Marketplace for Agrobiodiversity KW - Plant Genetic Sequence Data KW - Digital Sequence Genetic Resources plant sciences KW - plant sciences data policy KW - Crop Diversity Management data sharing UR - https://www.unicat.be/uniCat?func=search&query=sysid:101921989 AB - 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. ER -