TY - JOUR
T1 - Contemporary issues of open data in information systems research
T2 - Considerations and recommendations
AU - Link, Georg J.P.
AU - Lumbard, Kevin
AU - Conboy, Kieran
AU - Feldman, Michael
AU - Feller, Joseph
AU - George, Jordana
AU - Germonprez, Matt
AU - Goggins, Sean
AU - Jeske, Debora
AU - Kiely, Gaye
AU - Schuster, Kristen
AU - Willis, Matt
N1 - Funding Information:
Matt Willis is a researcher at the Oxford Internet Institute, University of Oxford. His current work looks at the use of automation technology in NHS England general practice services. Other work include sociotechnical inquiry into personal health record use between patients and care teams. His research interests include patient-generated data, socio-technical systems in healthcare, computer supported cooperative work, social shaping of technology, and human-computer interaction in healthcare. He has been a researcher in academic, government, and private institutional settings including Sandia National Laboratories, the U.S. Department of Veterans Affairs, and several university affiliated research centres where he was a contributor to multiple grants from the National Science Foundation (NSF), National Institutes of Health (NIH), Defense Advanced Research Projects Agency (DARPA), and Intelligence Advanced Research Projects Activity (IARPA).
Funding Information:
The workshop was supported by funds and organizational support from the NSF (SAVI Project: #1449188; #1449209), The TOTO Project, Lero—The Irish Software Research Centre, the IAIS (Irish Chapter of the Association for Information Systems), the University of Notre Dame, the AIS SIGOPEN group, and the Open Collaboration Data Factories.
Publisher Copyright:
© 2017 by the Association for Information Systems.
PY - 2017/11
Y1 - 2017/11
N2 - Researchers, governments, and funding agencies are calling on research disciplines to embrace open data-data that anyone can access and use. They have done so based on the premise that research efforts can draw and generate several benefits from open data because it might provide further insight and enable individuals to replicate and extend current knowledge in different contexts. These potential benefits, coupled with a global push towards open data policies, bring open data into the agenda of research disciplines, which includes information systems (IS). In this paper, we respond 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; and 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 IS researchers currently use. 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 adopting and establishing procedures and guidelines for archiving, evaluating, and using open data.
AB - Researchers, governments, and funding agencies are calling on research disciplines to embrace open data-data that anyone can access and use. They have done so based on the premise that research efforts can draw and generate several benefits from open data because it might provide further insight and enable individuals to replicate and extend current knowledge in different contexts. These potential benefits, coupled with a global push towards open data policies, bring open data into the agenda of research disciplines, which includes information systems (IS). In this paper, we respond 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; and 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 IS researchers currently use. 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 adopting and establishing procedures and guidelines for archiving, evaluating, and using open data.
KW - Data sharing
KW - Open access to data
KW - Open data
KW - Open data in research
KW - Open research data
KW - Open science
KW - Open scientific data
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U2 - 10.17705/1cais.04125
DO - 10.17705/1cais.04125
M3 - Article
AN - SCOPUS:85034024492
SN - 1529-3181
VL - 41
SP - 587
EP - 610
JO - Communications of the Association for Information Systems
JF - Communications of the Association for Information Systems
IS - 1
M1 - 25
ER -