Journal article
Digging into data management in public‐funded, international research in digital humanities
Journal of the Association for Information Science and Technology, v 71(1)
Jan 2020
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Path‐breaking in theory and practice alike, digital humanities (DH) not only secures a larger public audience for humanities and social sciences research, but also permits researchers to ask novel questions and to revisit familiar ones. Public‐funded, international, and collaborative research in DH furthers institutional research missions and enriches networked knowledge. The Digging into Data 3 challenge (DID3) (2014–2016), an international and interdisciplinary grant initiative embracing big data, included 14 teams sponsored by 10 funders from four nations. A qualitative case study that relies on purposive sampling and grounded analysis, this article centers on the information practices of DID3 participants. Semistructured interviews were conducted with 53 participants on 11 of the 14 DID3 projects. The study explores how Data Management Plan requirements affect work practices in public‐funded DH, how scholars grapple with key data management challenges, and how they plan to reuse and share their data. It concludes with three recommendations and three directions for future research.
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Details
- Title
- Digging into data management in public‐funded, international research in digital humanities
- Creators
- Alex H. Poole - Drexel UniversityDeborah A. Garwood - Drexel University
- Publication Details
- Journal of the Association for Information Science and Technology, v 71(1)
- Publisher
- John Wiley & Sons, Inc
- Number of pages
- 14
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000619261100008
- Scopus ID
- 2-s2.0-85063696108
- Other Identifier
- 991019168975104721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems
- Information Science & Library Science