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Conference Paper/Proceeding/Abstract

The Good, the Bad, the Clunky and . . . the Outcomes / Kerina Jones, Sharon Heys, Karen Tingay

Swansea University Authors: Kerina Jones, Sharon Heys, Karen Tingay
Published in International Journal of Population Data Science (2018)

In collection: Faculty of Medicine, Health and Life Sciences

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2

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Conference Paper/Proceeding/Abstract

Advancing cross-centre research networks: learning from experience, looking to the future / Sharon Heys

Swansea University Authors: Kerina Jones, Helen Daniels
Published in International Journal of Population Data Science (2018)

In collection: Faculty of Medicine, Health and Life Sciences

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3

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Conference Paper/Proceeding/Abstract

Towards an ethically-founded framework for the use of mobile phone CDRs in health research / Sharon Heys

Swansea University Authors: Kerina Jones, Helen Daniels, David Ford
Published in International Journal of Population Data Science (2018)

In collection: Faculty of Medicine, Health and Life Sciences

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4

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Journal article

Public Views on Using Mobile Phone Call Detail Records in Health Research: Qualitative Study / Kerina Jones, Helen Daniels, Sharon Heys, David Ford

Swansea University Authors: Kerina Jones, Helen Daniels, Sharon Heys, David Ford
Published in JMIR mHealth and uHealth (2019)

In collection: Faculty of Medicine, Health and Life Sciences

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5

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Journal article

The Good, the Bad, the Clunky / Paul Jackson, Chris Dibben

Swansea University Authors: Kerina Jones, Sharon Heys, Karen Tingay
Published in International Journal of Population Data Science (2019)

In collection: Faculty of Medicine, Health and Life Sciences

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6

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Journal article

Exploring barriers and solutions in advancing cross-centre population data science / Kerina Jones, Sharon Heys, Helen Daniels, David Ford

Swansea University Authors: Kerina Jones, Sharon Heys, Helen Daniels, David Ford
Published in International Journal of Population Data Science (2019)

In collection: Faculty of Medicine, Health and Life Sciences

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7

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Journal article

Challenges and Potential Opportunities of Mobile Phone Call Detail Records in Health Research: Review / Helen Daniels, Sharon Heys

Swansea University Authors: Kerina Jones, David Ford
Published in JMIR mHealth and uHealth (2018)

In collection: Faculty of Medicine, Health and Life Sciences

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8

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Journal article

Toward an Ethically Founded Framework for the Use of Mobile Phone Call Detail Records in Health Research / Kerina Jones, Helen Daniels, Sharon Heys, David Ford

Swansea University Authors: Kerina Jones, Helen Daniels, Sharon Heys, David Ford
Published in JMIR mHealth and uHealth (2019)

In collection: Faculty of Medicine, Health and Life Sciences

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9

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Journal article

Public Involvement & Engagement in the work of a data safe haven: a case study of the SAIL Databank / Kerina Jones, Sharon Heys, Rachel Thompson, Lynsey Cross, David Ford

Swansea University Authors: Kerina Jones, Sharon Heys, Rachel Thompson, Lynsey Cross, David Ford
Published in International Journal of Population Data Science (2020)

In collection: Faculty of Medicine, Health and Life Sciences

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10

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Journal article

Exploring the Use of Genomic and Routinely Collected Data: Narrative Literature Review and Interview Study / Sharon Heys

Swansea University Authors: Helen Daniels, Kerina Jones, David Ford
Published in Journal of Medical Internet Research (2021)

In collection: Faculty of Medicine, Health and Life Sciences

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11

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Journal article

Toward a Risk-Utility Data Governance Framework for Research Using Genomic and Phenotypic Data in Safe Havens: Multifaceted Review / Kerina Jones, Helen Daniels, Sharon Heys, Arron Lacey, David Ford

Swansea University Authors: Kerina Jones, Helen Daniels, Sharon Heys, Arron Lacey, David Ford
Published in Journal of Medical Internet Research (2020)

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12

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Conference Paper/Proceeding/Abstract

Developing data governance standards for using free-text data in research (TexGov) / Elizabeth Ford, Nathan Lea

Swansea University Authors: Kerina Jones, Lucy Griffiths, Sharon Heys, Emma Squires
Published in International Journal of Population Data Science (2019)

In collection: Faculty of Medicine, Health and Life Sciences

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13

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Journal article

Toward the Development of Data Governance Standards for Using Clinical Free-Text Data in Health Research: Position Paper / Elizabeth M Ford, Nathan Lea, Lamiece Hassan, Goran Nenadic

Swansea University Authors: Kerina Jones, Lucy Griffiths, Sharon Heys, Emma Squires
Published in Journal of Medical Internet Research (2020)

In collection: Faculty of Medicine, Health and Life Sciences

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14

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Journal article

Linking pre- and post-adoption records for research in anonymised form in a data safe haven: / Karen Broadhurst

Swansea University Authors: Kerina Jones, Sharon Heys, Rachel Thompson, Lucy Griffiths, Rhodri Johnson, Alexandra Lee, David Ford
Published in International Journal of Population Data Science (2020)

In collection: Faculty of Medicine, Health and Life Sciences

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15

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Journal article

Developing a prototype for federated analysis to enhance privacy and enable trustworthy access to COVID-19 research data / Solmaz Eradat Oskoui, Matthew Retford, Eoghan Forde, Rodrigo Barnes, Karen J Hunter, et al

Swansea University Authors: Simon Ellwood-Thompson, Chris Orton, David Ford, Sharon Heys, Julie Kennedy, Cynthia McNerney, Jeffrey Peng, Hamed Ghanbarialadolat, Sarah Rees
Published in International Journal of Medical Informatics (2025)

In collection: Faculty of Medicine, Health and Life Sciences

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Format

11 Journal article 4 Conference Paper/Proceeding/Abstract see all ...

Author

14 Kerina Jones 11 Sharon Heys 10 David Ford 7 Helen Daniels 3 Lucy Griffiths 2 Emma Squires more ... 2 Rachel Thompson 2 Karen Tingay 1 Hamed Ghanbarialadolat 1 Julie Kennedy 1 Jeffrey Peng 1 Chris Orton 1 Rhodri Johnson 1 Simon Ellwood-Thompson 1 Cynthia McNerney 1 Alexandra Lee 1 Sarah Rees 1 Arron Lacey 1 Lynsey Cross see all ... less ...

Faculty

14 Faculty of Medicine, Health and Life Sciences see all ...

School

12 Swansea University Medical School - Medicine 2 Swansea University Medical School - Health Data Science see all ...

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1400 : 2026

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2026

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