Technical and policy underpinnings of FAIR data principles

Jian Qin, Imma Subirats Coll, Marcia Lei Zeng, Brian Dobreski

Research output: Contribution to journalArticle

Abstract

At the trajectory of exponential data growth and FAIR (Findable, Accessible, Interoperable and Re-usable) requirements, organizations face the data management and publishing challenges in support of effective data discovery and publishing activities. This panel brings researchers and practitioners who have researched and practiced in managing datasets and providing discovery services to share their experience and expertise in addressing the challenges and proactively responding to trends in research data management, curation, sharing, and reuse.

Original languageEnglish (US)
Pages (from-to)569-571
Number of pages3
JournalProceedings of the Association for Information Science and Technology
Volume56
Issue number1
DOIs
StatePublished - Jan 1 2019

Keywords

  • Data curation
  • Knowledge representation for data
  • Metadata interoperability
  • Research Data Management

ASJC Scopus subject areas

  • Computer Science(all)
  • Library and Information Sciences

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