%0 Journal Article %A Iain Hrynaszkiewicz %A Varsha Khodiyar %A Andrew L Hufton %A Susanna-Assunta Sansone %T Publishing descriptions of non-public clinical datasets: guidance for researchers, repositories, editors and funding organisations %D 2015 %R 10.1101/021667 %J bioRxiv %P 021667 %X Sharing of clinical research data usually happens between individuals or research groups rather than via public repositories due to the need to protect research participant privacy. This approach to data sharing makes it difficult to connect journal articles with their underlying datasets and is often insufficient for ensuring access to data in the long term. The Yale Open Data Access (YODA) and Clinical Study Data Request (CSDR) projects have increased accessibility to clinical datasets for secondary uses while protecting patient privacy and the legitimacy of secondary analyses but these resources are generally disconnected from journal articles – where researchers typically search for reliable information to inform future research. New types of journal and journal article dedicated to publishing data articles have emerged in recent years and journals are developing stronger links with data repositories. There is a need for increased collaboration between journals, data repositories, researchers and their sponsors, and “data on request” services such as YODA and CSDR to increase the visibility and reliability of clinical research. We propose changes to the format and peer-review process for journal articles to more robustly link them to data that are available on request. We also propose additional features for data repositories to better accommodate non-public clinical datasets, including Data Use Agreements (DUAs). %U https://www.biorxiv.org/content/biorxiv/early/2015/06/30/021667.full.pdf