Open science and phenotyping in UK administrative health, education and social care data: the ECHILD phenotype code list repository

Jay, M.A., Lewis, K., Shi, D. et al. (6 more authors) (2025) Open science and phenotyping in UK administrative health, education and social care data: the ECHILD phenotype code list repository. International Journal of Population Data Science, 10 (2). p. 2943. ISSN 2399-4908

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Item Type: Article
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© 2025 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords: Humans; Phenotype; Social Work; Databases, Factual; Child; United Kingdom
Dates:
  • Published (online): 13 May 2025
  • Published: 13 May 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Depositing User: Symplectic Sheffield
Date Deposited: 05 Jun 2025 09:03
Last Modified: 05 Jun 2025 09:03
Published Version: https://doi.org/10.23889/ijpds.v10i2.2943
Status: Published
Publisher: Swansea University
Refereed: Yes
Identification Number: 10.23889/ijpds.v10i2.2943
Open Archives Initiative ID (OAI ID):

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