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Data Sharing in Social Sciences: A Case Study at Charles University

Publication

Abstract

Data sharing is an important building block of data-intensive science, but it is highly dependent on researchers' behavior (Koltay, 2017). As we have discovered in our recent research both academics and doctoral students of Charles University are willing to share data, but at the same time they expressed various concerns for data sharing.

The most common method of sharing data is upon request, the least common is the open access to data. We have also identified some interdisciplinary differences between social sciences and medicine on one side and humanities and natural sciences on the other.

The research was carried out using a Czech version of the Data Literacy Multinational Study questionnaire, that allowed us to gain an overview of the situation but did not provide sufficient details of the data-sharing topic, and semi-structured interviews with scientists from different disciplines.