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

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          Abstract

          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.

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          Challenges and opportunities of open data in ecology.

          Ecology is a synthetic discipline benefiting from open access to data from the earth, life, and social sciences. Technological challenges exist, however, due to the dispersed and heterogeneous nature of these data. Standardization of methods and development of robust metadata can increase data access but are not sufficient. Reproducibility of analyses is also important, and executable workflows are addressing this issue by capturing data provenance. Sociological challenges, including inadequate rewards for sharing data, must also be resolved. The establishment of well-curated, federated data repositories will provide a means to preserve data while promoting attribution and acknowledgement of its use.
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            Age and work-related motives: Results of a meta-analysis

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              If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology

              Research on practices to share and reuse data will inform the design of infrastructure to support data collection, management, and discovery in the long tail of science and technology. These are research domains in which data tend to be local in character, minimally structured, and minimally documented. We report on a ten-year study of the Center for Embedded Network Sensing (CENS), a National Science Foundation Science and Technology Center. We found that CENS researchers are willing to share their data, but few are asked to do so, and in only a few domain areas do their funders or journals require them to deposit data. Few repositories exist to accept data in CENS research areas.. Data sharing tends to occur only through interpersonal exchanges. CENS researchers obtain data from repositories, and occasionally from registries and individuals, to provide context, calibration, or other forms of background for their studies. Neither CENS researchers nor those who request access to CENS data appear to use external data for primary research questions or for replication of studies. CENS researchers are willing to share data if they receive credit and retain first rights to publish their results. Practices of releasing, sharing, and reusing of data in CENS reaffirm the gift culture of scholarship, in which goods are bartered between trusted colleagues rather than treated as commodities.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                26 August 2015
                2015
                : 10
                : 8
                : e0134826
                Affiliations
                [1 ]School of Information Sciences, University of Tennessee, Knoxville, Tennessee, United States of America
                [2 ]Center for Information & Communication Studies, University of Tennessee, Knoxville, Tennessee, United States of America
                [3 ]School of Information Sciences, University of Tennessee, Knoxville, Tennessee, United States of America
                [4 ]US Geological Survey, Oak Ridge, Tennessee, United States of America
                [5 ]Grady College of Journalism and Mass Communication, University of Georgia, Athens, Georgia, United States of America
                [6 ]School of Information Sciences, University of Tennessee, Knoxville, Tennessee, United States of America
                [7 ]School of Information Sciences, University of Tennessee, Knoxville, Tennessee, United States of America
                [8 ]School of Information Sciences, University of Tennessee, Knoxville, Tennessee, United States of America
                VU University Amsterdam, NETHERLANDS
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: CT SA MF. Performed the experiments: CT IP BB. Analyzed the data: EDD IP. Wrote the paper: EDD CT SA MF DP KD.

                Article
                PONE-D-15-14415
                10.1371/journal.pone.0134826
                4550246
                26308551
                9bd0514f-0b37-4e08-b319-e54038624515

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication

                History
                : 7 April 2015
                : 14 July 2015
                Page count
                Figures: 0, Tables: 0, Pages: 24
                Funding
                The project was funded as part of the National Science Foundation, Division of Cyberinfrastructure ( http://www.nsf.gov/div/index.jsp?div=ACI), Data Observation Network for Earth (DataONE) NSF award #0830944 under a Cooperative Agreement. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Custom metadata
                All survey data files are available from the Dryad Digital Repository database (doi: 10.5061/dryad.1ph92) at https://datadryad.org.

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