Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development
Material type: TextLanguage: English Publication details: Cham Springer Nature 2023Description: 1 electronic resource (317 p.)Content type:- text
- computer
- online resource
- 978-3-031-13276-6
- 9783031132766
- Algorithms & data structures
- Artificial intelligence
- Botany & plant sciences
- Philosophy of science
- agriculture data sciences
- Building Community Standards plant scientific data integration
- Consistent Data Lifecycle plant sciences
- COVID-19 Open Research Dataset
- Crop Diversity Management data sharing
- Data Management multi-Disciplinary African RTB Crop Breeding
- Data, Duplication, and the Decentralisation of Crop Collections
- Digital Marketplace for Agrobiodiversity
- Digital Sequence Genetic Resources plant sciences
- Governance Challenges of Data Linkage
- Managing Data in Crop Breeding
- Plant Genetic Sequence Data
- plant sciences and data linkage
- plant sciences data policy
- Plant Scientific Data Integration
- Potential of Long-Term Agricultural Experiments
- Subsistence and Agronomy: Carl Linnaeus
- Technical Challenges of Data Linkage
- Trials of Linking and Sharing Wheat Research Data
Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
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Electronic-Books | OPJGU Sonepat- Campus | E-Books Open Access | Available |
Open Access Unrestricted online access star
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.
University of Exeter
Creative Commons by/4.0/ cc
http://creativecommons.org/licenses/by/4.0/
English
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