Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide

The incorporation of data sharing into the research lifecycle is an important part of modern scholarly debate. In this study, the DataONE Usability and Assessment working group addresses two primary goals: To examine the current state of data sharing and reuse perceptions and practices among research scientists as they compare to the 2009/2010 baseline study, and to examine differences in practices and perceptions across age groups, geographic regions, and subject disciplines. We distributed surveys to a multinational sample of scientific researchers at two different time periods (October 2009 to July 2010 and October 2013 to March 2014) to observe current states of data sharing and to see what, if any, changes have occurred in the past 3–4 years. We also looked at differences across age, geographic, and discipline-based groups as they currently exist in the 2013/2014 survey. Results point to increased acceptance of and willingness to engage in data sharing, as well as an increase in actual data sharing behaviors. However, there is also increased perceived risk associated with data sharing, and specific barriers to data sharing persist. There are also differences across age groups, with younger respondents feeling more favorably toward data sharing and reuse, yet making less of their data available than older respondents. Geographic differences exist as well, which can in part be understood in terms of collectivist and individualist cultural differences. An examination of subject disciplines shows that the constraints and enablers of data sharing and reuse manifest differently across disciplines. Implications of these findings include the continued need to build infrastructure that promotes data sharing while recognizing the needs of different research communities. Moving into the future, organizations such as DataONE will continue to assess, monitor, educate, and provide the infrastructure necessary to support such complex grand science challenges.

[1]  JOHN EVANS,et al.  The Royal Society , 1894, Nature.

[2]  G. Williger,et al.  National Science Foundation , 1962, American Antiquity.

[3]  G. Hofstede,et al.  Culture′s Consequences: International Differences in Work-Related Values , 1980 .

[4]  G. Hofstede,et al.  Culture′s Consequences: International Differences in Work-Related Values , 1980 .

[5]  T. Gladwin Culture's Consequences: International Differences in Work-Related Values , 1981 .

[6]  A. Waterman,et al.  The psychology of individualism , 1984 .

[7]  C. Hui Measurement of individualism-collectivism , 1988 .

[8]  L. Nelson Data, data everywhere. , 1997, Critical care medicine.

[9]  D. Butler Data, data everywhere... , 2005, Nature Structural &Molecular Biology.

[10]  Data's shameful neglect. , 2009, Nature.

[11]  Tony Hey,et al.  The Fourth Paradigm: Data-Intensive Scientific Discovery , 2009 .

[12]  Víctor Rodríguez,et al.  Access to data and material for research: putting empirical evidence into perspective , 2009 .

[13]  Paul Jansen,et al.  Age and work‐related motives: Results of a meta‐analysis , 2011 .

[14]  C. Tenopir,et al.  Data Sharing by Scientists: Practices and Perceptions , 2011, PloS one.

[15]  Morgan M. Millar,et al.  Improving Response To Web and Mixed-Mode Surveys , 2011 .

[16]  Hye-Chung Kum,et al.  Dealing with data: governments records. , 2011, Science.

[17]  Mark A. Parsons,et al.  A conceptual framework for managing very diverse data for complex, interdisciplinary science , 2011, J. Inf. Sci..

[18]  Ann Zimmerman,et al.  Beyond the Data Deluge: A Research Agenda for Large-Scale Data Sharing and Reuse , 2011, Int. J. Digit. Curation.

[19]  Matthew B. Jones,et al.  Challenges and Opportunities of Open Data in Ecology , 2011, Science.

[20]  Jeffrey M. Stanton,et al.  Institutional and Individual Influences on Scientists' Data Sharing Practices , 2012 .

[21]  M. Haendel,et al.  Dealing with Data: A Case Study on Information and Data Management Literacy , 2012, PLoS biology.

[22]  Christine L. Borgman,et al.  The conundrum of sharing research data , 2012, J. Assoc. Inf. Sci. Technol..

[23]  Mark A. Parsons,et al.  Data Policy , 2013, Data Sci. J..

[24]  Rachael D. Seidler,et al.  A simple solution for model comparison in bold imaging: the special case of reward prediction error and reward outcomes , 2013, Front. Neurosci..

[25]  Peter Schirmbacher,et al.  Making Research Data Repositories Visible: The re3data.org Registry , 2013, PloS one.

[26]  C. Borgman,et al.  If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology , 2013, PloS one.

[27]  M. Adams,et al.  An Adaptive Physical Activity Intervention for Overweight Adults: A Randomized Controlled Trial , 2013, PloS one.

[28]  Jake Carlson,et al.  Data Management and Sharing from the Perspective of Graduate Students: An Examination of the Culture and Practice at the Water Quality Field Station , 2013 .

[29]  Odette Parry,et al.  Open Access Digital Data Sharing: Principles, Policies and Practices☆ , 2013 .

[30]  Theresa A. Pardo,et al.  Exploring the determinants of scientific data sharing: Understanding the motivation to publish research data , 2013, Gov. Inf. Q..

[31]  Krzysztof J. Gorgolewski,et al.  Making Data Sharing Count: A Publication-Based Solution , 2012, Front. Neurosci..

[32]  Jennifer C Molloy,et al.  Perspectives on Open Science and Scientific Data Sharing: An Interdisciplinary Workshop , 2014, Journal of anthropological sciences = Rivista di antropologia : JASS.

[33]  Salvatore Mele,et al.  Enabling Sharing and Reuse of Scientific Data , 2014 .

[34]  Kristin R. Eschenfelder,et al.  Managing the data commons: Controlled sharing of scholarly data , 2014, J. Assoc. Inf. Sci. Technol..

[35]  Katie A. Barnas,et al.  Why is Data Sharing in Collaborative Natural Resource Efforts so Hard and What can We Do to Improve it? , 2014, Environmental Management.

[36]  The Effects of Attitudes Toward Access to Data, Perceived Risk, and Funding Sources on Data Sharing Practices , 2015 .

[37]  Kei Koizumi,et al.  Increasing Access to the Results of Federally Funded Scientific Research , 2016 .

[38]  Yael Kovo Office of Science and Technology Policy (OSTP) , 2016 .