Data Management and Data Sharing Training in Social Science Graduate Programs, United Stat

Survey and syllabus analysis data from an exploratory study of data management and data sharing training in U.S. social science graduate programs. The collection includes survey responses from 150 programs across six disciplines and text analysis of syllabi from a random sample of 140 programs across seven disciplines. The data was gathered by researcher Ashley Doonan of the Institute for Social Research.

Use Cases

• Assessing the prevalence of data management training based on survey responses from program directors.
• Analyzing curriculum content for data sharing topics based on keyword mentions in course syllabi.
• Comparing self-reported training practices with actual syllabus content across different social science disciplines.
• Identifying gaps in experiential skill development for data management based on survey questions about graduate skills.

Strengths

• Includes data from two complementary sources: a survey of 150 graduate programs and a syllabus analysis of 140 programs.
• Survey used a mix of closed and open-ended questions, potentially providing both quantitative and qualitative insights.
• Syllabus analysis employed a systematic text analysis method, searching for explicit, synonymous, and implied mentions of data-related topics.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment and requires manual inspection after download.
• Last update date is unknown; freshness unverified.
• Data may reflect temporal bias, being focused on the 2017-2018 academic period.

Provenance

Source

Institute for Social Research

Collection Method

Survey of program representatives and systematic text analysis of course syllabi.

Time Range

2017-2018

Geography

United States