124,000 Data Availability Statements from Wiley Journals, 2013-2019

124,000 data availability statements submitted to 176 Wiley journals between 2013 and 2019. The statements were analyzed using unsupervised machine learning to categorize them and examine trends over time. The dataset was created by Chris Graf of John Wiley & Sons.

Use Cases

• Analyzing trends in data sharing based on policy changes mentioned in the description
• Categorizing types of data availability statements using unsupervised machine learning
• Studying researcher compliance with journal data sharing policies over time

Strengths

• 124,000 statements provide a substantial sample size
• Covers a 7-year time range (2013-2019) for trend analysis
• Sourced from 176 distinct journals for breadth

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

John Wiley & Sons (United States)

Collection Method

Statements submitted by research authors to Wiley journals, analyzed with unsupervised machine learning.

Time Range

2013-2019