Opportunities for improving data sharing and FAIR data practices to advance global mental health

doi:10.1017/gmh.2023.7

Review

. 2023 Mar 3:10:e14.

doi: 10.1017/gmh.2023.7. eCollection 2023.

Opportunities for improving data sharing and FAIR data practices to advance global mental health

Yaara Sadeh^{1

2}, Anna Denejkina^{3

4

5}, Eirini Karyotaki^{6

7}, Lonneke I M Lenferink^{8

9

10}, Nancy Kassam-Adams^{1

2

11}

Affiliations

¹ Center for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
² Trauma Data Institute, Lovingston, VA, USA.
³ Graduate Research School, Western Sydney University, Penrith, NSW, Australia.
⁴ Translational Health Research Institute, Sydney, Australia.
⁵ Young and Resilient Research Centre, Sydney, Australia.
⁶ Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
⁷ Amsterdam Public Health Institute, Amsterdam, Netherlands.
⁸ Department of Psychology, Health & Technology, University of Twente, Enschede, Netherlands.
⁹ Department of Clinical Psychology, Utrecht University, Utrecht, Netherlands.
¹⁰ Department of Clinical Psychology and Experimental Psychopathology, University of Groningen, Groningen, Netherlands.
¹¹ Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

PMID: 37860102
PMCID: PMC10581864
DOI: 10.1017/gmh.2023.7

Review

Opportunities for improving data sharing and FAIR data practices to advance global mental health

Yaara Sadeh et al. Glob Ment Health (Camb). 2023.

. 2023 Mar 3:10:e14.

doi: 10.1017/gmh.2023.7. eCollection 2023.

Authors

Yaara Sadeh^{1

2}, Anna Denejkina^{3

4

5}, Eirini Karyotaki^{6

7}, Lonneke I M Lenferink^{8

9

10}, Nancy Kassam-Adams^{1

2

11}

Affiliations

¹ Center for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
² Trauma Data Institute, Lovingston, VA, USA.
³ Graduate Research School, Western Sydney University, Penrith, NSW, Australia.
⁴ Translational Health Research Institute, Sydney, Australia.
⁵ Young and Resilient Research Centre, Sydney, Australia.
⁶ Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
⁷ Amsterdam Public Health Institute, Amsterdam, Netherlands.
⁸ Department of Psychology, Health & Technology, University of Twente, Enschede, Netherlands.
⁹ Department of Clinical Psychology, Utrecht University, Utrecht, Netherlands.
¹⁰ Department of Clinical Psychology and Experimental Psychopathology, University of Groningen, Groningen, Netherlands.
¹¹ Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

PMID: 37860102
PMCID: PMC10581864
DOI: 10.1017/gmh.2023.7

Abstract

It is crucial to optimize global mental health research to address the high burden of mental health challenges and mental illness for individuals and societies. Data sharing and reuse have demonstrated value for advancing science and accelerating knowledge development. The FAIR (Findable, Accessible, Interoperable, and Reusable) Guiding Principles for scientific data provide a framework to improve the transparency, efficiency, and impact of research. In this review, we describe ethical and equity considerations in data sharing and reuse, delineate the FAIR principles as they apply to mental health research, and consider the current state of FAIR data practices in global mental health research, identifying challenges and opportunities. We describe noteworthy examples of collaborative efforts, often across disciplinary and national boundaries, to improve Findability and Accessibility of global mental health data, as well as efforts to create integrated data resources and tools that improve Interoperability and Reusability. Based on this review, we suggest a vision for the future of FAIR global mental health research and suggest practical steps for researchers with regard to study planning, data preservation and indexing, machine-actionable metadata, data reuse to advance science and improve equity, metrics and recognition.

Keywords: FAIR Guiding Principles; ethics; global mental health; low income countries; mental health.

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Conflict of interest statement

The authors declare none.

Figures

**Figure 1.**
Value of data reuse in global mental health research. **Includes data from low- to middle-income countries.

See this image and copyright information in PMC

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Erratum: Opportunities for improving data sharing and FAIR data practices to advance global mental health-Corrigendum.
Sadeh Y, Denejkina A, Karyotaki E, Lenferink LIM, Kassam-Adams N. Sadeh Y, et al. Glob Ment Health (Camb). 2023 Apr 24;10:e20. doi: 10.1017/gmh.2023.14. eCollection 2023. Glob Ment Health (Camb). 2023. PMID: 37854415 Free PMC article.
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References

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[1] Ademosu T, Ebuenyi I, Hoekstra RA, Prince M and Salisbury T (2021) Burden, impact, and needs of caregivers of children living with mental health or neurodevelopmental conditions in low-income and middle-income countries: A scoping review. The Lancet Psychiatry 8(10), 919–928. 10.1016/S2215-0366(21)00207-8. - DOI - PubMed

[2] Ademosu T, Ebuenyi I, Hoekstra RA, Prince M and Salisbury T (2021) Burden, impact, and needs of caregivers of children living with mental health or neurodevelopmental conditions in low-income and middle-income countries: A scoping review. The Lancet Psychiatry 8(10), 919–928. 10.1016/S2215-0366(21)00207-8. - DOI - PubMed

[3] Arslan RC (2018) How to automatically document data with the codebook package to facilitate data re-use. Advances in Methods and Practices in Psychological Science 2(2), 169–187. 10.1177/2515245919838783. - DOI

[4] Arslan RC (2018) How to automatically document data with the codebook package to facilitate data re-use. Advances in Methods and Practices in Psychological Science 2(2), 169–187. 10.1177/2515245919838783. - DOI

[5] Bergeron J, Doiron D, Marcon Y, Ferretti V and Fortier I (2018) Fostering population-based cohort data discovery: The maelstrom research cataloguing toolkit. PLoS One 13(7), 1–13. 10.1371/journal.pone.0200926. - DOI - PMC - PubMed

[6] Bergeron J, Doiron D, Marcon Y, Ferretti V and Fortier I (2018) Fostering population-based cohort data discovery: The maelstrom research cataloguing toolkit. PLoS One 13(7), 1–13. 10.1371/journal.pone.0200926. - DOI - PMC - PubMed

[7] Borghi JA and Van Gulick AE (2021) Data management and sharing: Practices and perceptions of psychology researchers. PLoS One 16(5), 1–14. 10.1371/journal.pone.0252047. - DOI - PMC - PubMed

[8] Borghi JA and Van Gulick AE (2021) Data management and sharing: Practices and perceptions of psychology researchers. PLoS One 16(5), 1–14. 10.1371/journal.pone.0252047. - DOI - PMC - PubMed

[9] Borgman CL (2017) Big Data, Little Data, no Data: Scholarship in the Networked World. Cambridge, MA: MIT Press.

[10] Borgman CL (2017) Big Data, Little Data, no Data: Scholarship in the Networked World. Cambridge, MA: MIT Press.

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Opportunities for improving data sharing and FAIR data practices to advance global mental health

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Opportunities for improving data sharing and FAIR data practices to advance global mental health

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