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Motivators and Deterrents for Data Description and Publication: Preliminary Results

(Short Paper)
  • Cristina RibeiroEmail author
  • João Rocha da Silva
  • João Aguiar Castro
  • Ricardo Carvalho Amorim
  • Paula Fortuna
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9416)

Abstract

In the recent trend of data-intensive science, data publication is essential and institutions have to promote it with the researchers. For the past decade, institutional repositories have been widely established for publications, and the motivations for deposit are well established. The situation is quite different for data, as we argue on the basis of a 5-year experience with research data management at the University of Porto. We address research data management from a disciplined yet flexible point of view, focusing on domain-specific metadata models embedded in intuitive tools, to make it easier for researchers to publish their datasets. We use preliminary data from a recent experiment in data publishing to identify motivators and deterrents for data publishing.

Keywords

Institutional Repository Metadata Record Metadata Model Staging Platform Lightweight Ontology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Cristina Ribeiro
    • 1
    Email author
  • João Rocha da Silva
    • 1
  • João Aguiar Castro
    • 1
  • Ricardo Carvalho Amorim
    • 1
  • Paula Fortuna
    • 1
  1. 1.INESC TEC—Faculdade de EngenhariaUniversidade do PortoPortoPortugal

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