Scientific Data Reuse Survey, United States, 2015 (ICPSR 37071)

Version Date: Jun 19, 2018

Cite this study |

Principal Investigator(s):
Youngseek Kim, University of Kentucky

https://doi.org/10.3886/ICPSR37071.v1

Version V1

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Summary

This study explores the factors that influence the data reuse behaviors of scientists and identifies the generalized patterns that occur in data reuse across various disciplines. An online survey was distributed to the scientists through Qualtrics. The initial email invitation to the survey was sent to 15,703 scientists within academic institutions on October 5, 2015, with a reminder sent on November 10, 2015. The survey closed on November 30, 2015. 1,987 email messages (12.65%) were returned and a total of 13,716 participants (87.35%) received the email invitation to participate in the survey. This research used the National Science Foundation (NSF) STEM discipline codes (2014) for the respondents to indicate their specific academic disciplines based on their current research activities. Of these participants, 1,528 scientists from 94 specific disciplines (as categorized by NSF STEM discipline codes (2014)), completed the survey with less than 5% of missing values.

Citation

Kim, Youngseek. Scientific Data Reuse Survey, United States, 2015. Inter-university Consortium for Political and Social Research [distributor], 2018-06-19. https://doi.org/10.3886/ICPSR37071.v1

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Subject Terms

Geographic Coverage

Smallest Geographic Unit

none

Distributor(s)

Inter-university Consortium for Political and Social Research
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Time Period(s)

2015-10-05 -- 2015-11-30

Date of Collection

2015-10-05 -- 2015-11-30 (Scientific Data Reuse Survey)
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Study Purpose

This study identifies the individual and institutional factors that influence the data reuse practices of scientists.

Sample

The study samples included researchers with PhD degrees, such as faculty members and post-doctoral researchers, who were involved in STEM (Science, Technology, Engineering, and Mathematics) disciplines at academic institutions in the U.S. The participants were identified from the Community of Science's (CoS) Scholar Database, which included a global research profile directory from only academic institutions, excluding any government or corporate researchers. A total of 15,703 scientists were initially identified for this study using random selection of scientists from the 56 STEM disciplines categorized by CoS. About 280 scientists were selected from each of the 56 STEM disciplines for this study.

Time Method

Cross-sectional

Universe

Scientists who belong to academic institutions in the United States

Unit(s) of Observation

Individual

Data Type(s)

Mode of Data Collection

Response Rates

11.14 percent

Presence of Common Scales

Several Likert-type scales were used. For additional details on measurement scales see downloadable documentation.

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Original Release Date

2018-06-19

Version History

2018-06-19 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Created variable labels and/or value labels.
  • Created online analysis version with question text.
  • Checked for undocumented or out-of-range codes.

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Weight

none

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Notes