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Purpose: Open data and data sharing should improve transparency of research. This article investigates how different institutional and individual factors affect the data sharing behavior of authors of research articles in sociology and political science. Design/methodology/approach: Desktop research analyzed attributes of sociology and political science journals (n=262) from their websites. A second dataset of articles (n=1011, published 2012-2014) was derived from ten of the main journals (five from each discipline) and stated data sharing was examined. A survey of the authors used the Theory of Planned Behavior to examine motivations, behavioral control and perceived norms for sharing data. Statistical tests (Spearman's rho, Chi-square) examined correlations and associations. Results: Although many journals have a data policy for their authors (78% in sociology, 44% in political science), only around half of the empirical articles stated that the data was available, and for only 37% of the articles could the data be accessed. Journals with higher impact factors, those with a stated data policy, and younger journals were more likely to offer data availability. Of the authors surveyed, 446 responded (44%). Statistical analysis indicated that authors' attitudes, reported past behavior, social norms and perceived behavioral control affected their intentions to share data. Research limitations/implications: Less than 50% of the authors contacted provided responses to the survey. Results indicate that data sharing would improve if journals had explicit data sharing policies but authors also need support from other institutions (their universities, funding councils, professional associations) to improve data management skills and infrastructures. Originality/value: This article builds on previous similar research in sociology and political science and explains some of the barriers to data sharing in social sciences by combining journal policies, published articles, and authors' responses to a survey.

The empirical social sciences largely rely on the collection and analysis of research data. In recent years, several recommendations on the more open sharing of research data have been published. These recommendations aim at making science more transparent and replicable. In reality, however, many important research datasets are still not accessible. The project investigates how different factors influence the data sharing behavior of the authors of research papers in sociology and political sciences. It starts with an analysis of journal attributes and the articles published by selected journals to show how authors deal with their data. Second, a survey among the authors is conducted based on the Theory of Planned Behavior. This shows how personal characteristics are related to authors' data sharing behavior.

A newer version of this dataset is available at https://doi.org/10.7802/2284

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The empirical social sciences largely rely on the collection and analysis of research data. In recent years, several recommendations on the more open sharing of research data have been published. These recommendations aim at making science more transparent and replicable. In reality, however, many important research datasets are still not accessible. The project investigates how different factors influence the data sharing behavior of the authors of research papers in sociology and political sciences. It starts with an analysis of journal attributes and the articles published by selected journals to show how authors deal with their data. Second, a survey among the authors is conducted based on the Theory of Planned Behavior. This shows how personal characteristics are related to authors' data sharing behavior.