Using public data to measure diversity in computer science research communities: A critical data governance perspective

Bosua, Rachelle; Cheong, M; Clark, K; Clifford, D; Coghlan, S; Culnane, C; Leins, K; Richardson, M

Using public data to measure diversity in computer science research communities: A critical data governance perspective

journal contribution

posted on 2025-05-15, 03:07 authored by Rachelle BosuaRachelle Bosua, M Cheong, K Clark, D Clifford, S Coghlan, C Culnane, K Leins, M Richardson

Using public data to measure diversity in computer science research communities: A critical data governance perspective

History

Journal

Computer Law and Security Review

Volume

44

Article number

105655

Pagination

1-10

Location

Amsterdam, The Netherlands

Open access

Yes

ISSN

0267-3649

eISSN

0267-3649

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Publisher

Elsevier

Usage metrics

Keywords

Generic health relevance 8.3 Policy, ethics, and research governance 16 Peace, Justice and Strong Institutions Privacy Data protection Public data Diversity Critical data governance

Licence

CC BY-NC-ND 4.0

Using public data to measure diversity in computer science research communities: A critical data governance perspective

History

Journal

Volume

Article number

Pagination

Location

Open access

ISSN

eISSN

Language

Publication classification

Publisher

Usage metrics

Categories

Keywords

Licence

Exports