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The Open Data Challenge:An Analysis of 124,000 Data Availability Statements and an Ironic Lesson about Data Management Plans
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作者 Chris Graf Dave Flanagan +1 位作者 Lisa Wylie Deirdre Silver 《Data Intelligence》 2020年第4期554-568,共15页
Data availability statements can provide useful information about how researchers actually share research data.We used unsupervised machine learning to analyze 124,000 data availability statements submitted by researc... Data availability statements can provide useful information about how researchers actually share research data.We used unsupervised machine learning to analyze 124,000 data availability statements submitted by research authors to 176 Wiley journals between 2013 and 2019.We categorized the data availability statements,and looked at trends over time.We found expected increases in the number of data availability statements submitted over time,and marked increases that correlate with policy changes made by journals.Our open data challenge becomes to use what we have learned to present researchers with relevant and easy options that help them to share and make an impact with new research data. 展开更多
关键词 data availability statement(DAS) FAIR data Machine learning Trends Journal Policy
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