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The foundations of big data sharing: A CGIAR international research organization perspective

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Field Value
 
Title The foundations of big data sharing: A CGIAR international research organization perspective
 
Creator Basel, Ashleigh M.
Nguyen, Kien Tri
Arnaud, Elizabeth
Craparo, Alessandro C.W.
 
Subject big data
data management
biodiversity
ecology
open access
information storage
agrobiodiversity
 
Description The potential of big data capabilities to transform and understand global agricultural and biological systems often relies on data from different sources that must be considered together or aggregated to provide insights. The value of data is however not only in its collection and storage, but largely in its re-use. Big data storage repositories are not enough when we consider a world brimming with escalating volumes of data, here we need to consider innovative systems and tools which address data harmonization and standardization and importantly, ones that can bridge the gap between science and end users. In this paper, we will demonstrate how CGIAR (including the Alliance of Bioversity International and CIAT) develops a culture of co-operation and collaboration among custodians of agrobiodiversity data, as well as new directions for big data. CGIAR first launched the Platform for Big Data in Agriculture to enhance the development and maintenance of its data. This helped establish workflows of cross-platform synthesis, annotate and apply the lessons learnt. The Platform then built GARDIAN (Global Agricultural Research Data Innovation and Acceleration Network)—a digital tool that harvests from ∼40 separate open data and publication repositories that 15 CGIAR centres have used for data synthesis. While there have been significant advances in big data management and storage, we also identify the gaps to improve use, and the re-use of data in order to reveal its added value in decision making.
 
Date 2023-03
2023-08-23T13:31:57Z
2023-08-23T13:31:57Z
 
Type Journal Article
 
Identifier Basel, A.M.; Nguyen, K.T.; Arnaud, E.; Craparo, A.C. (2023) The foundations of big data sharing: A CGIAR international research organization perspective. Frontiers in Environmental Science 11: 1107393. ISSN: 2296-665X
2296-665X
https://hdl.handle.net/10568/131635
https://doi.org/10.3389/fenvs.2023.1107393
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format 1107393
application/pdf
 
Publisher Frontiers Media SA
 
Source Frontiers in Environmental Science