||This article's use of external links may not follow Wikipedia's policies or guidelines. (April 2016) (Learn how and when to remove this template message)|
Data sharing is the practice of making data used for scholarly research available to other investigators. Replication has a long history in science. The motto of The Royal Society is 'Nullius in verba', translated "Take no man's word for it." Many funding agencies, institutions, and publication venues have policies regarding data sharing because transparency and openness are considered by many to be part of the scientific method.
A number of funding agencies and science journals require authors of peer-reviewed papers to share any supplemental information (raw data, statistical methods or source code) necessary to understand, develop or reproduce published research. A great deal of scientific research is not subject to data sharing requirements, and many of these policies have liberal exceptions. In the absence of any binding requirement, data sharing is at the discretion of the scientists themselves. In addition, in certain situations agencies and institutions prohibit or severely limit data sharing to protect proprietary interests, national security, and subject/patient/victim confidentiality. Data sharing may also be restricted to protect institutions and scientists from use of data for political purposes.
Data and methods may be requested from an author years after publication. In order to encourage data sharing and prevent the loss or corruption of data, a number of funding agencies and journals established policies on data archiving. Access to publicly archived data is a recent development in the history of science made possible by technological advances in communications and information technology.
Despite policies on data sharing and archiving, data withholding still happens. Authors may fail to archive data or they only archive a portion of the data. Failure to archive data alone is not data withholding. When a researcher requests additional information, an author sometimes refuses to provide it. When authors withhold data like this, they run the risk of losing the trust of the science community.
- 1 U.S. government policies
- 2 Office of Research Integrity
- 3 Ideals in data sharing
- 4 International policies
- 5 Data sharing problems
- 6 Differing approaches in different fields
- 7 See also
- 8 References
- 9 Literature
- 10 External links
U.S. government policies
On August 9, 2007, President Bush signed the America COMPETES Act (or the "America Creating Opportunities to Meaningfully Promote Excellence in Technology, Education, and Science Act") requiring civilian federal agencies to provide guidelines, policy and procedures, to facilitate and optimize the open exchange of data and research between agencies, the public and policymakers. See Section 1009.
NIH data sharing policy
‘The National Institutes of Health (NIH) Grants Policy Statement defines "data" as "recorded information, regardless of the form or medium on which it may be recorded, and includes writings, films, sound recordings, pictorial reproductions, drawings, designs, or other graphic representations, procedural manuals, forms, diagrams, work flow charts, equipment descriptions, data files, data processing or computer programs (software), statistical records, and other research data."’— Council on Governamental Relations
The NIH Final Statement of Sharing of Research Data says:
NSF Policy from Grant General Conditions
36. Sharing of Findings, Data, and Other Research Products
a. NSF …expects investigators to share with other researchers, at no more than incremental cost and within a reasonable time, the data, samples, physical collections and other supporting materials created or gathered in the course of the work. It also encourages awardees to share software and inventions or otherwise act to make the innovations they embody widely useful and usable.b. Adjustments and, where essential, exceptions may be allowed to safeguard the rights of individuals and subjects, the validity of results, or the integrity of collections or to accommodate legitimate interests of investigators.— "National Science Foundation: Grant General Conditions (GC-1)", April 1, 2001 (p. 17).
Office of Research Integrity
Allegations of misconduct in medical research carry severe consequences. The United States Department of Health and Human Services established an office to oversee investigations of allegations of misconduct, including data withholding. The website defines the mission:
"The Office of Research Integrity (ORI) promotes integrity in biomedical and behavioral research supported by the U.S. Public Health Service (PHS) at about 4,000 institutions worldwide. ORI monitors institutional investigations of research misconduct and facilitates the responsible conduct of research (RCR) through educational, preventive, and regulatory activities."
Ideals in data sharing
Some research organizations feel particularly strongly about data sharing. Stanford University's WaveLab has a philosophy about reproducible research and disclosing all algorithms and source code necessary to reproduce the research. In a paper titled "WaveLab and Reproducible Research," the authors describe some of the problems they encountered in trying to reproduce their own research after a period of time. In many cases, it was so difficult they gave up the effort. These experiences are what convinced them of the importance of disclosing source code. The philosophy is described:
- The idea is: An article about computational science in a scientific publication is not the scholarship itself, it is merely advertising of the scholarship. The actual scholarship is the complete software development environment and the complete set of instructions which generated the figures.
The Data Observation Network for Earth (DataONE) and Data Conservancy are projects supported by the National Science Foundation to encourage and facilitate data sharing among research scientists and better support meta-analysis. In environmental sciences, the research community is recognizing that major scientific advances involving integration of knowledge in and across fields will require that researchers overcome not only the technological barriers to data sharing but also the historically entrenched institutional and sociological barriers. Dr. Richard J. Hodes, director of the National Institute on Aging has stated, "the old model in which researchers jealously guarded their data is no longer applicable".
The Alliance for Taxpayer Access is a group of organizations that support open access to government sponsored research. The group has expressed a "Statement of Principles" explaining why they believe open access is important. They also list a number of international public access policies.
- Europe — Commission of European Communities
- United Kingdom
- 'Omic Data Sharing — a list of policies of major science funders BioSharing.org Catalogue of Data Policies
Data sharing problems
Withholding of data has become so commonplace in academic genetics that researchers at Massachusetts General Hospital published a journal article on the subject. The study found that "Because they were denied access to data, 28% of geneticists reported that they had been unable to confirm published research."
In a 2006 study, it was observed that, of 141 authors of a publication from the American Psychology Association (APA) empirical articles, 103 (73%) did not respond with their data over a 6-month period. In a follow up study published in 2015, it was found that 246 out of 394 contacted authors of papers in APA journals did not share their data upon request (62%).
Scientists in training
A study of scientists in training indicated many had already experienced data withholding. This study has given rise to the fear the future generation of scientists will not abide by the established practices.
Differing approaches in different fields
Requirements for data sharing are more commonly imposed by institutions, funding agencies, and publication venues in the medical and biological sciences than in the physical sciences. Requirements vary widely regarding whether data must be shared at all, with whom the data must be shared, and who must bear the expense of data sharing.
Funding agencies such as the NIH and NSF tend to require greater sharing of data, but even these requirements tend to acknowledge the concerns of patient confidentiality, costs incurred in sharing data, and the legitimacy of the request. Private interests and public agencies with national security interests (defense and law enforcement) often discourage sharing of data and methods through non-disclosure agreements.
Data sharing poses specific challenges in participatory monitoring initiatives, for example where forest communities collect data on local social and environmental conditions. In this case, a rights-based approach to the development of data-sharing protocols can be based on principles of free, prior and informed consent, and prioritise the protection of the rights of those who generated the data, and/or those potentially affected by data-sharing.
- History of the Royal Society webpage accessed June 13, 2011
- Savage CJ, Vickers AJ (2009). "Empirical Study of Data Sharing by Authors Publishing in PLoS Journals". PLoS ONE 4 (9): e7078. doi:10.1371/journal.pone.0007078.
- "Publication and Openness," chapter from "On Being A Scientist: Responsible Conduct in Research", National Academy of Sciences.
- "America COMPETES Act
- "Access to and retention of research data: Rights and responsibilities", p. 5. Council on Governmental Relations, March 2006.
- "NIH Data Sharing Policy."
- WaveLab and Reproducible Research by Jonathan B. Buckheit and David L. Donoho
- WaveLab850 website
- Reichman O.J.; Jones M.B.; Schildhauer M.P. (2011). "Challenges and Opportunities of Open Data in Ecology". Science 331 (6018): 703–705. doi:10.1126/science.1197962. PMID 21311007.
- NY Times article about value of shared data to Alzheimers research
- The Alliance for Taxpayer Access website
- Worldwide momentum for public access to publicly funded research
- Campbell EG, Clarridge BR, Gokhale M, et al. (2002). "Data withholding in academic genetics: evidence from a national survey". JAMA 287 (4): 473–80. doi:10.1001/jama.287.4.473. PMID 11798369.
- Wicherts, J. M.; Borsboom, D.; Kats, J.; Molenaar, D. (2006). "The poor availability of psychological research data for reanalysis". American Psychologist 61 (7): 726–728. doi:10.1037/0003-066X.61.7.726. PMID 17032082.
- Vanpaemel, W.; Vermorgen, M.; Deriemaecker, L.; Storms, G. (2015). "Are we wasting a good crisis? The availability of psychological research data after the storm". Collabra 1 (1): 1–5. doi:10.1525/collabra.13.
- Vogeli C, Yucel R, Bendavid E, et al. (February 2006). "Data withholding and the next generation of scientists: results of a national survey". Acad Med 81 (2): 128–36. doi:10.1097/00001888-200602000-00007. PMID 16436573.
- D Sabogal. 2015. Data sharing in community-based forest monitoring: lessons from Guyana. Global Canopy Programme. http://forestcompass.org/how/resources/data-sharing-community-based-forest-monitoring-lessons-guyana
Committee on Issues in the Transborder Flow of Scientific Data, National Research Council (1997). Bits of Power: Issues in Global Access to Scientific Data. Washington, D.C: National Academy Press. ISBN 0-309-05635-7. — discusses the international exchange of data in the natural sciences.
- re3data.org A website which lists research data repositories and the conditions under which data sets can be accessed and used
- Data sharing and replication ― Gary King.
- "How to encourage the right behaviour" (Opinion). Nature 416 (6876): 1. March 2002. doi:10.1038/416001b.
- "The Selfish Gene: Data Sharing and Withholding in Academic Genetics" by Eric Campbell and David Blumenthal published May 31, 2002.
- Data sharing and data archiving ― American Psychology Association
- The Public Domain of Digital Research Data
- Rimmer, Matthew (September 2005). "Japonica Rice: Intellectual Property, Scientific Publishing and Data-Sharing". Prometheus 23 (3): 325–34. doi:10.1080/08109020500235180.
- WaveLab and Reproducible Research by Jonathan B. Buckheit and David L. Donoho of Stanford University
- The Role of Data and Program Code Archives in the Future of Economic Research published by The Federal Reserve Bank of St. Louis
- Ecological Society of America data sharing and archiving initiative
- BioSharing.org A website on data sharing and data policies in biology
- UK Data Archive: Manage and Share data
- Data Management Plan Resources and Examples - Inter-university Consortium for Political and Social Research.
- Nature Scientific Data: open-access, online-only publication for descriptions of scientifically valuable datasets.