A View of the Interface between Ethics and Metadata





Metadata, Ethics, Privacy, State Surveillance, Information Retrieval, Controlled Languages, Information Discovery System


Despite its advantages in improving access to information, metadata has the potential to cause harm, if used inappropriately.  For instance, mass surveillance of phone calls can be used by intelligence agencies to target individuals. Language use can reinforce prejudices; poor language control undermines the efficiency of subject searches; and the opacity of discovery systems reduces the effectiveness of retrieval systems. There are also concerns about who owns the intellectual property associated with metadata creation. The talk concluded with a description of two proposed initiatives: by ISKO to investigate ways of improving metadata use in information discovery systems; and the recruitment for a fully-funded PhD studentship at Edinburgh Napier University to investigate the ethics of metadata.


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Biografia do Autor

  • David Haynes, Edinburgh Napier University

    Interesses de pesquisa:

    • redes sociais
    • privacidade
    • regulação de informação
    • organização do conhecimento
    • metadados


Amnesty International. (2013). “Will I be next?” US Drone Strikes in Pakistan.

Campbell, D. (2015). GCHQ and Me. My Life Unmasking British Eavesdroppers. The Intercept. https://theintercept.com/2015/08/03/life-unmasking-british-eavesdroppers/.

Cutter, C. A. (1876). Rules for a Printed Dictionary Catalogue. United States Bureau of Education.

General Data Protection Regulation, Pub. L. No. EU 2016/679, 78 (2016). https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:02016R0679-20160504&from=EN.

Greenwald, G. (2013, June 6). NSA Collecting Phone Records of Millions of Verizon Customers Daily. The Guardian. http://www.theguardian.com/world/2013/jun/06/nsa-phone-records-verizon-court-order.

Haynes, D. (2018). Metadata, Ethics and Trust. Catalogue & Index, 191, 2–4. https://cdn.ymaws.com/www.cilip.org.uk/resource/collection/C165DDC7-25C3-411B-8137-1BC2A293200B/catalogue_and_index_issue_191_june_2018_haynes_metadata_ethics_trust.pdf.

Haynes, D., Golub, K., Gnoli, C., Salaba, A., Shiri, A., & Slavic, A. (2023). Improving Search Quality by Enhancing Access to Metadata. Knowledge Organization and Information Discovery: Improving User Experience, Quality and Trust. 7th Biennial ISKO UK Conference. https://zenodo.org/record/8241636.

Haynes, D., Pandit, H. J., & McRae, M. (2021). Metadata and privacy panel. DCMI Virtual 2021. https://www.dublincore.org/conferences/2021/panels/.

Haynes, D., & Vernau, J. (Eds.). (2019). The Human Position in an Artificial World: creativity, ethics and AI in knowledge organization. ISKO UK Sixth Biennial Conference London, 15-16th July 2019. Ergon Verlag GmbH.

Holstrom, C. (2022). Analyzing the Structure and Dynamics of Control Relationships in the Case of “Illegal Aliens” in the Library of Congress Subject Headings. Knowledge Organization across Disciplines, Domains, Services and Technologies, 133–146.

Nascimento, F. A., Leite, F. F. J., & Pinho, F. A. (2016). What Gender is this? Challenges to the subject of representation about the gender boundaries. In J. Guimarães, S. O. Milani, & V. Dodebei (Eds.), Knowledge Organization for a Sustainable World: Proceedings of the Fourteenth International ISKO Conference, 27-29 September 2016 (pp. 587–592). Ergon Verlag GmbH.

Riva, P., Le Boeuf, P., & Žumer, M. (2017). IFLA Library Reference Model. https://www.ifla.org/files/assets/cataloguing/frbr-lrm/ifla_lrm_2017-03.pdf

Tang, Y., da Costa, A. A. B., Zhang, J., Patrick, I., Khastgir, S., & Jennings, P. (2023). Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain. https://doi.org/10.48550/arxiv.2307.11769.

UK Data Protection Act, (2018).





Dossiê "Transversalidade e Verticalidade na Ciência da Informação"

Como Citar

“A View of the Interface Between Ethics and Metadata”. Brazilian Journal of Information Science: Research Trends, vol. 17, novembro de 2023, p. e023053, https://doi.org/10.36311/1981-1640.2023.v17.e023053.