The Varying Openness of Digital Open Science Tools: 242 Tools Analyzed

242 digital Open Science tools were compiled and analyzed for geolocation, terms and conditions, and funding models. The dataset accompanies a paper from the University of Oxford submitted to F1000. Findings indicate design decisions are biased towards researchers in North American and European scholarly communities.

Use Cases

• Analyze geographic distribution of tool development based on geolocation data
• Study funding models and their influence on tool accessibility based on funding model analysis
• Assess terms and conditions for barriers to global use
• Investigate biases in digital infrastructure supporting Open Science practices

Strengths

• Analysis of 242 distinct digital tools
• Includes geolocation, terms and conditions, and funding model data
• Dataset accompanies a peer-reviewed paper submission

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect geographic bias inherent to the source platform

Provenance

Source

University of Oxford

Collection Method

Compiled via an online research approach

Geography

Global, with noted bias towards North America and Europe