A dataset describing data discovery and reuse practices in research

Area of Science:

• Information Science
• Data Science
• Research Data Management

Background:

• Understanding how researchers access and utilize secondary data is crucial for effective research.
• Existing knowledge on data discovery and reuse practices among diverse research communities remains limited.

Purpose of the Study:

• To present a comprehensive dataset from the largest survey on secondary research data discovery, sense-making, and reuse.
• To identify the data needs, sources, strategies, and evaluation criteria used by researchers and support professionals.

Main Methods:

• Conducted a global survey with 1677 respondents from 105 countries.
• Included participants from various disciplinary domains, professional roles, and career stages.
• Collected data on data discovery, evaluation, and reuse practices.

Main Results:

• Detailed the data needs, sources, and strategies employed by respondents to locate secondary research data.
• Documented the criteria used by researchers and support professionals when evaluating data.
• Highlighted variations in practices across different disciplines and roles.

Conclusions:

• The dataset provides valuable insights into the current landscape of secondary research data utilization.
• Findings can inform the development of improved data discovery systems, repositories, and training programs.
• The results offer a foundation for evidence-based policy development in research data management.