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Evaluation of repositories for sharing individual-participant data from clinical studies

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TLDR
An indicator set to capture the maturity of the repositories’ procedures and their suitability for the hosting of IPD is developed and can help researchers to find a suitable repository for their datasets.
Abstract
Data repositories have the potential to play an important role in the effective and safe sharing of individual-participant data (IPD) from clinical studies. We analysed the current landscape of data repositories to create a detailed description of available repositories and assess their suitability for hosting data from clinical studies, from the perspective of the clinical researcher. We assessed repositories that enable storage, sharing, discoverability, re-use of the IPD and associated documents from clinical studies using a pre-defined set of 34 items and publicly available information from April to June 2018. For this purpose, we developed an indicator set to capture the maturity of the repositories’ procedures and their suitability for the hosting of IPD. The indicators cover guidelines for data upload and data de-identification, data quality controls, contracts for upload and storage, flexibility of access, application of identifiers, availability of metadata, and long-term preservation. We analysed 25 repositories, from an initial set of 55 identified as possibly relevant. Half of the included repositories were generic, i.e. not limited to a specific disease or clinical area and 13 were launched in the last 8 years. The sample was extremely heterogeneous and included repositories developed by research funders, infrastructures, universities, and editors. All but three repositories do not apply a fee for uploading, storage or access to data. None of the repositories completely demonstrated all the items included in the indicator set, but three repositories (Dryad, Drum, EASY) met – fully or partially – all items. Flexibility of data-access modalities appears to be limited, being lacking in half of the repositories. Our evaluation, though often hampered by the lack of sufficient information, can help researchers to find a suitable repository for their datasets. Some repositories are more mature because of their support for clinical dataset preparation, contractual agreements, metadata and identifiers, different modalities of access, and long-term preservation of data. Further work is now required to achieve a more robust and accurate system for evaluation, which in turn may encourage the sharing of clinical study data. Study protocol available at https://zenodo.org/record/1438261#.W64kW9Egrcs .

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Citations
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Journal ArticleDOI

Evaluation of Data Sharing After Implementation of the International Committee of Medical Journal Editors Data Sharing Statement Requirement.

TL;DR: In 2018, the International Committee of Medical Journal Editors (ICMJE) required a data sharing statement (DSS) from submissions reporting clinical trials effective July 1, 2018, and April 4, 2020 as mentioned in this paper.
Journal ArticleDOI

Status, use and impact of sharing individual participant data from clinical trials: a scoping review

TL;DR: In this article, the authors explore the impact of data-sharing initiatives on the intent to share data, on actual data sharing, on the use of shared data and on research output and impact.
Journal ArticleDOI

Data sharing—trialists' plans at registration, attitudes, barriers and facilitators: A cohort study and cross-sectional survey

TL;DR: In this paper, an online cross-sectional survey of principal investigators of all clinical trials registered on the Australian New Zealand Clinical Trials Registry (ANZCTR) was conducted to determine IPD sharing plans reported in recently registered clinical trial registration records, how data sharing commitment relates to clinical trial characteristics and principal investigators' attitudes, motivations and barriers to data sharing.
Journal ArticleDOI

Clinical trial data reuse - overcoming complexities in trial design and data sharing.

TL;DR: The issues and lessons learned from experiences in accessing and analyzing trial data are presented and the need for benefits of transparent sharing and analysis of participant-level clinical trial data with appropriate risk mitigation is emphasized, a matter important to efficient clinical research.
References
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Journal ArticleDOI

Sharing Detailed Research Data Is Associated with Increased Citation Rate

TL;DR: This correlation between publicly available data and increased literature impact may further motivate investigators to share their detailed research data.
Journal ArticleDOI

Sharing Clinical Trial Data: Maximizing Benefits, Minimizing Risk

Bernard Lo
- 24 Feb 2015 - 
TL;DR: It is concluded that sharing data is in the public interest, but a multi-stakeholder effort is needed to develop a culture, infrastructure, and policies that will foster responsible sharing—now and in the future.
Journal ArticleDOI

Preparing for Responsible Sharing of Clinical Trial Data

TL;DR: The authors review the potential benefits and unintended consequences of the broad sharing of participant-level data from clinical trials and several options for governance structures that could be implemented to provide expanded access to clinical trial data are discussed.
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