Methods to increase data availability
Methods to increase data availability
What is this about?
Why is this important?
Data access is extremely important for transparent modern science. The rising number of research studies impedes the filtering of research findings, aggravates peer-review process and increases the possibility of false study reports. Having in mind the direct implications of scientific findings on everyday practice, data availability is further prioritized. The open data movement follows the principles of transparency, participation, and collaboration (1). Open data policy is important because it nurtures the virtues of transparency and honesty, which allows each respondent to check the authenticity of the published results at any time. Data sharing represents a significant part of research ethics and nowadays, many journals require researchers to publish resources to make them available to other investigators (2,3). However, deposited published data may be incomplete, in some cases intentionally because authors could feel like losing priority in future publishing, which may complicate new analyses on previously published data (2).
In an effort to enhance data-sharing practices, some journals have mandatory data availability statement (DAS). However, according to a recent study on data availability statements, 93% of authors of manuscripts with DASs that stated authors are eager to share their data either didn't respond or refused to share their data. In conclusion, the level of compliance is disappointing even when the authors state in their article that they will share data upon request, indicating that the DAS may not be enough to guarantee data sharing (4).For whom is this important?
What are the best practices?
In Detail
1. Kitchin R. The Data Revolution: Big Data, Open Data, Data Infrastructures, and Their Consequences. SAGE; 2014. 241 p.
2. Tedersoo L, Küngas R, Oras E, Köster K, Eenmaa H, Leijen Ä, et al. Data sharing practices and data availability upon request differ across scientific disciplines. Sci Data. 2021 Jul 27;8:192.
3. Fischer BA, Zigmond MJ. The essential nature of sharing in science. Sci Eng Ethics. 2010 Dec;16(4):783–99.
4. Gabelica M, Bojcic R, Puljak L. Many researchers were not compliant with their published data sharing statement: mixed-methods study. Journal of Clinical Epidemiology. 2022 May 30;150:33-41. doi: 10.1016/j.jclinepi.2022.05.019.
5. Sustainable Digital Data Preservation and Access Network Partners. NSF - National Science Foundation [Internet]. [cited 2022 Mar 2]. Available from: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503141
6. Tenopir C, Allard S, Douglass K, Aydinoglu AU, Wu L, Read E, et al. Data Sharing by Scientists: Practices and Perceptions. PLOS ONE. 2011 Jun 29;6(6):e21101.
Josipa Domjanović, Ružica Bojčić contributed to this theme. Latest contribution was Feb 28, 2023