Hinweis: Um die korrekte Darstellung der Seite zu erhalten, müssen Sie beim Drucken die Hintergrundgrafiken erlauben.

Menu

Zurück zur Übersicht
Auf die Merkliste

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

Objektkategorie:
Elektronische Ressource
Person/Institution:
Williamson, Hugh F.
Leonelli, Sabina
Bereitstellende Institution:
Forschungsbibliothek Gotha
Verlag:
Springer Nature
Ort:
Cham
Entstehungszeit:
2023
Sprache:
Nicht zu entscheiden
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
Objekttext:
English

Zugriff und Nutzungsmöglichkeiten

Datensatz angelegt am:
2023-04-12
Zuletzt geändert am:
2023-01-30
In Portal übernommen am:
2023-04-12

Ähnliche Objekte

Entdecken Sie ähnliche Objekte. Über die Datenfelder können Sie die Objekte auswählen, die Sie interessieren. Sie können Ihre Suchfilter beibehalten oder deaktivieren.


Suchfilter berücksichtigen