1381. Data Sharing in Clinical Neurosciences
Authors: Keith Andreas Hanson; Jeffrey Traylor; Nyle Almeida; Dayal Rajagopalan; Jeremiah Johnson, MD (Lubbock, TX)
Introduction: In today’s climate of high healthcare costs and limited research resources, much attention has been given to inefficiency in research. Open access to research data has been proposed as a way to pool resources and make the most of research funding while also promoting transparency and scientific rigor. The clinical neurosciences would benefit greatly from the potential opportunities afforded by open data, especially in smaller fields like neurosurgery. We sought to evaluate the current state of publicly available research findings and data sharing policies within the clinical neurosciences. Methods: The Clarivate Analytics Web of Science journal citation reports for 2017 were used to sort journals in the category ‘Clinical Neurosciences’ by impact factor. The top 50 journals were selected and reviewed, but data was only collected from journals focused on original research (42/50). For each journal we reviewed the ten most cited original research articles for 2017 as designated by Scopus. Results: A data sharing policy existed for 62% (26/42) of the journals reviewed. Of these 26 journals, 50% (13/26) stated that data was to be made available upon request, while 65% (17/26) encouraged or required a statement from the authors regarding what data would be available. Of the 420 articles reviewed for data availability, 44% (185/420) included unprocessed, source data with the publication. In comparison, our similarly designed 2014 study found that 48% (19/40) of top neurosurgery and neurology journals had a data sharing policy, and only 21% (40/190) of reviewed articles included access to source data. Conclusion: Our results demonstrate an opportunity for increased data sharing in neuroscience original research. However, in comparison to older studies, these findings suggest a trend towards increased adoption of open data sharing policies among journals and increased availability of unprocessed data among clinical neurosciences publications.