Scientific Data Reuse Survey
Principal Investigator(s): View help for Principal Investigator(s) Youngseek Kim, University of Kentucky
Version: View help for Version V1
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Project Citation:
Project Description
Summary:
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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 (response rate: 11.14%).
Reference:
NSF. (2014, February 9). Crosswalk of NSF Discipline Codes to CASPAR Academic Discipline Codes. Retrieved from https://ncsesdata.nsf.gov/nsf/srs/webcasp/data/gradstud.htm
Reference:
NSF. (2014, February 9). Crosswalk of NSF Discipline Codes to CASPAR Academic Discipline Codes. Retrieved from https://ncsesdata.nsf.gov/nsf/srs/webcasp/data/gradstud.htm
Scope of Project
Subject Terms:
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data reuse;
data sharing;
data repository
Geographic Coverage:
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United States
Time Period(s):
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10/5/2015 – 11/30/2015 (From October 5 to November 30, 2015)
Collection Date(s):
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10/5/2015 – 11/30/2015 (From October 5 to November 30, 2015)
Universe:
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Scientists who belong to academic institutions in the United States
Data Type(s):
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survey data
Methodology
Response Rate:
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11.14%
Sampling:
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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 (http://pivot.cos.com), 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.
Data Source:
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Online Survey
Collection Mode(s):
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web-based survey
Scales:
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See the attached "Measurement Items and References"
Unit(s) of Observation:
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Individual Level
Geographic Unit:
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United States
Related Publications
Published Versions
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