Not logged in.

Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Contemporary issues of open data in information systems research: considerations and recommendations
Organization Unit
Authors
  • Georg J P Link
  • Kevin Lumbard
  • Kieran Conboy
  • Michael Feldman
  • Joseph Feller
  • Jordana George
  • Matt Germonprez
  • Sean Goggins
  • Debora Jeske
  • Gaye Kiely
  • Kristen Schuster
  • Matt Willis
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title Communications of the Association for Information Systems
Publisher Association for Information Systems
Geographical Reach international
ISSN 1529-3181
Volume 41
Number 25
Page Range 587 - 610
Date 2017
Abstract Text Researchers, governments, and funding agencies are calling on research disciplines to embrace open data - data that is publicly accessible and usable beyond the original authors. The premise is that research efforts can draw and generate several benefits from open data, as such data might provide further insight, enabling the replication and extension of current knowledge in different contexts. These potential benefits, coupled with a global push towards open data policies, brings open data into the agenda of research disciplines – including Information Systems (IS). This paper responds to these developments as follows. We outline themes in the ongoing discussion around open data in the IS discipline. The themes fall into two clusters: (1) The motivation for open data includes themes of mandated sharing, benefits to the research process, extending the life of research data, and career impact; (2) The implementation of open data includes themes of governance, socio-technical system, standards, data quality, and ethical considerations. In this paper, we outline the findings from a pre-ICIS 2016 workshop on the topic of open data. The workshop discussion confirmed themes and identified issues that require attention in terms of the approaches that are currently utilized by IS researchers. The IS discipline offers a unique knowledge base, tools, and methods that can advance open data across disciplines. Based on our findings, we provide suggestions on how IS researchers can drive the open data conversation. Further, we provide advice for the adoption and establishment of procedures and guidelines for the archival, evaluation, and use of open data.
Free access at Official URL
Official URL http://aisel.aisnet.org/cais/vol41/iss1/25
Other Identification Number merlin-id:15582
PDF File Download from ZORA
Export BibTeX
EP3 XML (ZORA)