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GLOBIS-B Deliverable D3.1: Technical issues and risks associated with general challenges of provisioning research infrastructures to deliver capabilities for EBV processing.

Hardisty, Alex and Manset, David 2016. GLOBIS-B Deliverable D3.1: Technical issues and risks associated with general challenges of provisioning research infrastructures to deliver capabilities for EBV processing. [Technical Report]. Horizon 2020 GLOBIS-B (654003) project.

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Abstract

This GLOBIS-B project deliverable describes technical issues and risks associated with the general challenges of provisioning Research Infrastructures to deliver capabilities for processing Essential Biodiversity Variables (EBV). It is the result of preparations for two workshops and the workshops themselves, documenting insights to the problem of how cooperating biodiversity Research Infrastructures can contribute to the harmonised implementation of EBVs by focusing on offering data, workflows and computational services. There are several unresolved general challenges and considerations associated with harmonised EBV implementation, and this report places the technical issues and risks in the context of those. These general challenges are about assigning responsibility for EBV production, understanding the EBV production cycle, and needs in terms of data model structure and applicable standards. It is likely that new infrastructure will be needed to provide the tools and workflows for EBV production. A single and shared understanding of strategy toward the technical aspects of EBV data products production is needed among all stakeholders. There is a significant unresolved problem in terms of the nature of the translation process that must be followed to move from frontier research that proves the principles of EBVs to a state of regular mass production of EBV data products, akin to climate variable data products. This is described. We recommend developing a technical roadmap for the next 3 – 5 years, in conjunction with identifying first steps to gain practical experience of the issues associated with producing EBV data products.

Item Type: Monograph (Technical Report)
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QH Natural history
Uncontrolled Keywords: essential biodiversity variable, ebv, biodiversity, informatics, research infrastructure, e-infrastructure
Publisher: Horizon 2020 GLOBIS-B (654003) project
Funders: EC Horizon 2020
Related URLs:
Date of First Compliant Deposit: 25 May 2017
Last Modified: 12 Jun 2017 10:04
URI: http://orca.cf.ac.uk/id/eprint/100883

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