Supporting open research data practice through data curation and discovery: A global perspective

Ying-Hsang Liu, Hsin-Liang (Oliver) Chen, Makoto P. Kato, Mingfang Wu, Isto Huvila

Research output: Contribution to journalArticleScientificpeer-review

Abstract

This panel will address the issues associated with the practice and service of open research data curation and discovery from a global perspective. The sub-fields of information science such as information retrieval, information curation, information practices and human-centered data science have approached the open research data initiatives from multiple lenses. The issues of data creation, capturing, curation, sharing, discovery and reuse of cut across the sub-fields. We will identify and discuss the emerging themes in open data curation and discovery drawing on active research projects, repository practices and research data capturing and reuse in a selection of disciplines from health domain to archaeology and cultural heritage.
Original languageEnglish
Pages (from-to)e291
JournalProceedings- Association for Information Science and Technology
Volume57
Issue number1
DOIs
Publication statusPublished - 22 Oct 2020
MoE publication typeA1 Journal article-refereed
EventASIS&T Annual Meeting -
Duration: 22 Oct 20201 Nov 2020
https://asistdl.onlinelibrary.wiley.com/doi/epdf/10.1002/pra2.1

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