Panel 1: To Share or Not to Share: Should IS Researchers Share or Hoard Their Precious Data?

Antonia Koester, Annika Baumann, Hanna Krasnova, Michel Avital, Kalle Lyytinen, Matti Rossi

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


Data sharing requires researchers to publish their (primary) data and any supporting research materials. With increased attention on reproducibility and more transparent research requiring sharing of data, the issues surrounding data sharing are moving beyond whether data sharing is beneficial, to what kind of research data should be shared and how. However, despite its benefits, data sharing still is not common practice in Information Systems (IS) research. The panel seeks to discuss the controversies related to data sharing in research, specifically focusing on the IS discipline. It remains unclear how the positive effects of data sharing that are often framed as extending beyond the individual researcher (e.g., openness for innovation) can be utilized while reducing the downsides often associated with negative consequences for the individual researcher (e.g., losing a competitive advantage). To foster data sharing practices in IS, the panel will address this dilemma by drawing on the panelists’ expertise.
Original languageEnglish
Title of host publicationProceedings of the 28th European Conference on Information Systems (ECIS) : A Virtual AIS Conference
Number of pages7
Place of PublicationAtlanta, GA
PublisherAssociation for Information Systems. AIS Electronic Library (AISeL)
Publication date2020
Publication statusPublished - 2020
EventThe 28th European Conference on Information Systems (ECIS) 2020: Liberty, Equality and Fraternity in a Digital World - Virtual Conference, Marrakesh, Morocco
Duration: 15 Jun 202017 Jun 2020
Conference number: 28


ConferenceThe 28th European Conference on Information Systems (ECIS) 2020
LocationVirtual Conference
Internet address
SeriesProceedings of the European Conference on Information Systems


  • Data sharing
  • Open science
  • Openness
  • Scientific progress

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