University-Industry Collaboration through Big Data and Open Science

Mona Roman; Jingwei Liu; Timo Nyberg

University-Industry Collaboration through Big Data and Open Science

Mona Roman, Jingwei Liu, Timo Nyberg

Department of Industrial Engineering and Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

173 Downloads (Pure)

Abstract

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 language	English
Title of host publication	10th International Conference for Entrepreneurship, Innovation and Regional Development ICEIRD 2017 – Conference Proceedings
Editors	Ketikidis Panayiotis, Solomon Adrian
Pages	371-378
Publication status	Published - 1 Sep 2017
MoE publication type	A4 Article in a conference publication
Event	International Conference for Entrepreneurship, Innovation, and Regional Development - Makedonia Palace Hotel, Thessaloniki, Greece Duration: 31 Aug 2017 → 1 Sep 2017 Conference number: 10

Conference

Conference	International Conference for Entrepreneurship, Innovation, and Regional Development
Abbreviated title	ICEIRD
Country	Greece
City	Thessaloniki
Period	31/08/2017 → 01/09/2017

Keywords

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

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http://iceird.eu/2017/

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Collaboration through big data and open science
Roman, M. (Creator), Aalto University, Jan 2018
DOI: 10.24342/80f6110a-818f-4a76-a991-24c34934c678
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Cite this

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title = "University-Industry Collaboration through Big Data and Open Science",

abstract = "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.",

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editor = "Ketikidis Panayiotis and Solomon Adrian",

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Roman, M, Liu, J & Nyberg, T 2017, University-Industry Collaboration through Big Data and Open Science. in K Panayiotis & S Adrian (eds), 10th International Conference for Entrepreneurship, Innovation and Regional Development ICEIRD 2017 – Conference Proceedings . pp. 371-378, International Conference for Entrepreneurship, Innovation, and Regional Development , Thessaloniki, Greece, 31/08/2017.

University-Industry Collaboration through Big Data and Open Science. / Roman, Mona; Liu, Jingwei; Nyberg, Timo.

10th International Conference for Entrepreneurship, Innovation and Regional Development ICEIRD 2017 – Conference Proceedings . ed. / Ketikidis Panayiotis; Solomon Adrian. 2017. p. 371-378.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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N2 - 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.

AB - 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.

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KW - Research Data

KW - Open Innovation

KW - Open Science

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T2 - International Conference for Entrepreneurship, Innovation, and Regional Development

Y2 - 31 August 2017 through 1 September 2017

ER -

University-Industry Collaboration through Big Data and Open Science

Abstract

Conference

Keywords

Access to Document

Collaboration through big data and open science

Cite this