University-Industry Collaboration through Big Data and Open Science

Mona Roman, Jingwei Liu, Timo Nyberg

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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There exists today little motivation for researchers to share their research data, which is their source of scientific reputation. This paper addresses this major challenge for open science and identifies alternative business models for researchers to open their data repositories for external users. Our research question is “How to open big data in a way that it can be transferred to sustainable business cases that bring value to data owners as well as potential external users?” Our paper is based on a case study of a Finnish foundation and its currently closed database. As key findings, we identify opportunities, barriers and possible solutions for opening this database based on 11interviews with key stakeholders. Our research contributes to open science literature through illustrating how to open big data in a way that brings value to both data owners and external users.
Original languageEnglish
Title of host publication10th International Conference for Entrepreneurship, Innovation and Regional Development ICEIRD 2017 – Conference Proceedings
EditorsKetikidis Panayiotis, Solomon Adrian
Publication statusPublished - 1 Sep 2017
MoE publication typeA4 Article in a conference publication
EventInternational Conference for Entrepreneurship, Innovation, and Regional Development - Makedonia Palace Hotel, Thessaloniki, Greece
Duration: 31 Aug 20171 Sep 2017
Conference number: 10


ConferenceInternational Conference for Entrepreneurship, Innovation, and Regional Development
Abbreviated titleICEIRD


  • Big Data
  • University-industry collaboration
  • Research Data
  • Open Innovation
  • Open Science

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