Sharing and reuse of mental health research data: Introducing the HeSANDA mental health node.
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| Title: | Sharing and reuse of mental health research data: Introducing the HeSANDA mental health node. |
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| Authors: | Yung, Alison R (AUTHOR), Zivanov, Nemanja (AUTHOR), Milicevic, Marko (AUTHOR), Kang, Kristan (AUTHOR), Thompson, Andrew (AUTHOR), Turner, Alyna (AUTHOR), Barutchu, Ayla (AUTHOR), Llorente, Lourdes (AUTHOR), Samuel, Delyth (AUTHOR), Dean, Olivia M (AUTHOR), Williams, Rhys (AUTHOR), Lavoie, Suzie (AUTHOR) |
| Source: | Australasian Psychiatry. Feb2026, Vol. 34 Issue 1, p79-83. 5p. |
| Subjects: | Mental health, Information sharing, Government programs, Research integrity, Research personnel, Secondary research, Ethical problems |
| Abstract: | Introduction: Data sharing is the practice of making de-identified participant-level data available for use by other researchers. It increases the potential of a dataset to answer new questions, accelerates knowledge creation and increases research integrity by allowing conclusions to be replicated, verified or corrected. Data sharing helps fulfil the ethical obligation to make the most of research participants' contributions to science. Analysis and Evidence: There is evidence that research participants and the general public are supportive of data sharing. However, those who conducted the original studies may be reluctant to share data, and datasets may be difficult to access, and there may be ethical and governance concerns. Discussion: This paper describes the Mental Health Node, an Australian Government initiative that aims to increase mental health data sharing. The Mental Health Node works with primary researchers (those who conduct original studies), and secondary researchers (those who reuse data generated by others) to promote ethical data sharing that respects the role of primary researchers and the privacy concerns of research participants. Conclusion: Primary and secondary researchers can collaborate to maximise the value of data collected. This paper includes recommendations for good practice in data sharing and links to resources. [ABSTRACT FROM AUTHOR] |
| Copyright of Australasian Psychiatry is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | Introduction: Data sharing is the practice of making de-identified participant-level data available for use by other researchers. It increases the potential of a dataset to answer new questions, accelerates knowledge creation and increases research integrity by allowing conclusions to be replicated, verified or corrected. Data sharing helps fulfil the ethical obligation to make the most of research participants' contributions to science. Analysis and Evidence: There is evidence that research participants and the general public are supportive of data sharing. However, those who conducted the original studies may be reluctant to share data, and datasets may be difficult to access, and there may be ethical and governance concerns. Discussion: This paper describes the Mental Health Node, an Australian Government initiative that aims to increase mental health data sharing. The Mental Health Node works with primary researchers (those who conduct original studies), and secondary researchers (those who reuse data generated by others) to promote ethical data sharing that respects the role of primary researchers and the privacy concerns of research participants. Conclusion: Primary and secondary researchers can collaborate to maximise the value of data collected. This paper includes recommendations for good practice in data sharing and links to resources. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 10398562 |
| DOI: | 10.1177/10398562251382462 |
