Title: RDA IG Data Discovery Paradigms IG: Use Cases data

Type Dataset de Waard, Anita, Khalsa, Siri Jodha, Psomopoulos, Fotis, Wu, Mingfang (2017): RDA IG Data Discovery Paradigms IG: Use Cases data. Zenodo. Dataset. https://zenodo.org/record/1050976

Authors: de Waard, Anita (Research Data Management Solutions, Elsevier, USA) ; Khalsa, Siri Jodha (National Snow and Ice Data Center, Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA) ; Psomopoulos, Fotis (Institute of Applied Biosciences, Center for Research and Technology Hellas, Thessaloniki, Greece) ; Wu, Mingfang (Australia National Data Services, Melbourne, Australia) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

The RDA Data Discovery Paradigms IG (https://www.rd-alliance.org/groups/data-discovery-paradigms-ig) aims to provide a forum where representatives from across the spectrum of stakeholders and roles pertaining to data search can discuss issues related to improving data discovery. The goal is to identify concrete deliverables such as a registry of data search engines, common test datasets, usage metrics, and a collection of data search use cases and competency questions.

In order to identify the key requirements evident across data discovery use-cases from various scientific fields and domains, the Use Cases Task Force (https://www.rd-alliance.org/group/data-discovery-paradigms-ig/wiki/use-cases-prototyping-tools-and-test-collections-task-force) was initiated. Direct outcome of this task force is this collection of use cases outlining what users might wish to search for data and what supports they would expect a data repository should provide.

More information

• DOI: 10.5281/zenodo.1050976

Subjects

• Data Discovery Paradigms, Use Cases, Research Data Alliance (RDA)

Dates

• Publication date: 2017
• Issued: November 16, 2017

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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