The University of Southampton
University of Southampton Institutional Repository

Decision making processes for data sharing: a framework for data trusts

Decision making processes for data sharing: a framework for data trusts
Decision making processes for data sharing: a framework for data trusts
Introduction: while there is as yet no agreed definition of a data trust [1], it can be generally understood as a legal, technical and organisational structure for enabling the sharing of data. In a data trust context, trustees act on behalf of beneficiaries and trustors [2] and hence must rigorously interrogate the benefits and risks of data sharing to decide access. The authors have experience in implementing a data-sharing decision process in the Horizon2020 Data Pitch project and in the Interreg 2Seas Smart City Innovation Framework Implementation project, from which we derive these insights as to the elements that comprise robust approval.

Requirement for decision-making processes: unlike open data, which has minimal restrictions on use, shared data is often linked to terms and conditions, with which the purpose of use must comply. A governance process must be established to decide who gets access to the data and why.

Preliminary Framework: we have modelled an initial framework that identifies key considerations in the data sharing process. A combination of rights/consents and potential uses defines the space of possible uses of the data [3], which directs related action. Understanding this space and the best way to explore it is the cornerstone of the framework, as it protects the data, data subjects (if any), the data holders, the beneficiaries and the trustees. However, it is vital to further consider several dimensions that will impact the process: how benefit is measured; how eligibility of users is assessed; how the period of time for which the data is shared is decided (and how the end of the period is managed); how the process is made transparent and, finally, how issues such as preserving purpose over time and reducing movement of data can be incorporated.

CCS CONCEPTS
• H.3.5 Online Information Services – Data Sharing
KEYWORDS
Data sharing, Data trusts, Decision-making processes


ACKNOWLEDGMENTS
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732506.
REFERENCES
[1]J. Hardinges, (2018). What is a Daa Trust?
https://theodi.org/article/what-is-a-data-trust/
[2]K. O’Hara, (2019) Data Trusts: Ethics, Architecture and Governance for Trustworthy Data Stewardship. Web Science Institute White Paper #1
[3]S. Stalla Bourdillon and A. Knight. (2017) Legal and Privacy Toolkit v.1.0
http://www.datapitch.eu/wp-content/uploads/2017/06/PUBLIC-LEGAL-AND-PRIVACY-TOOLKIT-VERSION-1.0-DELIVERABLE-8.1-FINAL-30-JUNE-2017.pdf
Price:$15.00

Data sharing, Decision-making processes, Data trusts
Walker, Johanna, Catherine
aef93dc8-1936-4dd8-9921-64bd811b4a01
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Stalla-Bourdillon, Sophie
c189651b-9ed3-49f6-bf37-25a47c487164
O’Hara, Kieron
d7306468-477d-48f2-9a06-d720841dadc3
Walker, Johanna, Catherine
aef93dc8-1936-4dd8-9921-64bd811b4a01
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Stalla-Bourdillon, Sophie
c189651b-9ed3-49f6-bf37-25a47c487164
O’Hara, Kieron
d7306468-477d-48f2-9a06-d720841dadc3

Walker, Johanna, Catherine, Simperl, Elena, Stalla-Bourdillon, Sophie and O’Hara, Kieron (2019) Decision making processes for data sharing: a framework for data trusts. ACM WomENcourage 2019: Celebration of Women in Computing, Rome, Italy. 16 - 18 Sep 2019. 1 pp .

Record type: Conference or Workshop Item (Other)

Abstract

Introduction: while there is as yet no agreed definition of a data trust [1], it can be generally understood as a legal, technical and organisational structure for enabling the sharing of data. In a data trust context, trustees act on behalf of beneficiaries and trustors [2] and hence must rigorously interrogate the benefits and risks of data sharing to decide access. The authors have experience in implementing a data-sharing decision process in the Horizon2020 Data Pitch project and in the Interreg 2Seas Smart City Innovation Framework Implementation project, from which we derive these insights as to the elements that comprise robust approval.

Requirement for decision-making processes: unlike open data, which has minimal restrictions on use, shared data is often linked to terms and conditions, with which the purpose of use must comply. A governance process must be established to decide who gets access to the data and why.

Preliminary Framework: we have modelled an initial framework that identifies key considerations in the data sharing process. A combination of rights/consents and potential uses defines the space of possible uses of the data [3], which directs related action. Understanding this space and the best way to explore it is the cornerstone of the framework, as it protects the data, data subjects (if any), the data holders, the beneficiaries and the trustees. However, it is vital to further consider several dimensions that will impact the process: how benefit is measured; how eligibility of users is assessed; how the period of time for which the data is shared is decided (and how the end of the period is managed); how the process is made transparent and, finally, how issues such as preserving purpose over time and reducing movement of data can be incorporated.

CCS CONCEPTS
• H.3.5 Online Information Services – Data Sharing
KEYWORDS
Data sharing, Data trusts, Decision-making processes


ACKNOWLEDGMENTS
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732506.
REFERENCES
[1]J. Hardinges, (2018). What is a Daa Trust?
https://theodi.org/article/what-is-a-data-trust/
[2]K. O’Hara, (2019) Data Trusts: Ethics, Architecture and Governance for Trustworthy Data Stewardship. Web Science Institute White Paper #1
[3]S. Stalla Bourdillon and A. Knight. (2017) Legal and Privacy Toolkit v.1.0
http://www.datapitch.eu/wp-content/uploads/2017/06/PUBLIC-LEGAL-AND-PRIVACY-TOOLKIT-VERSION-1.0-DELIVERABLE-8.1-FINAL-30-JUNE-2017.pdf
Price:$15.00

Full text not available from this repository.

More information

Published date: 16 September 2019
Venue - Dates: ACM WomENcourage 2019: Celebration of Women in Computing, Rome, Italy, 2019-09-16 - 2019-09-18
Keywords: Data sharing, Decision-making processes, Data trusts

Identifiers

Local EPrints ID: 434736
URI: https://eprints.soton.ac.uk/id/eprint/434736
PURE UUID: 5001e728-38ee-40d2-8ce6-6959a6f40893
ORCID for Johanna, Catherine Walker: ORCID iD orcid.org/0000-0002-5498-8670
ORCID for Elena Simperl: ORCID iD orcid.org/0000-0003-1722-947X

Catalogue record

Date deposited: 08 Oct 2019 16:30
Last modified: 09 Oct 2019 00:32

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×