When data sharing is an answer and when (often) it is not: Acknowledging data‐driven, non‐data, and data‐decentered cultures
研究探讨研究者对数据共享与非共享的视角、理由和实践，识别出数据驱动、非数据和数据去中心三种文化，并描述研究者如何抵制或调整主流数据观念。
Abstract Contemporary research and innovation policies and advocates of data‐intensive research paradigms continue to urge increased sharing of research data. Such paradigms are underpinned by a pro‐data, normative data culture that has become dominant in the contemporary discourse. Earlier research on research data sharing has directed little attention to its alternatives as more than a deficit. The present study aims to provide insights into researchers' perspectives, rationales and practices of (non‐)sharing of research data in relation to their research practices. We address two research questions, (RQ1) what underpinning patterns can be identified in researchers' (non‐)sharing of research data, and (RQ2) how are attitudes and data‐sharing linked to researchers' general practices of conducting their research. We identify and describe data‐decentered culture and non‐data culture as alternatives and parallels to the data‐driven culture , and describe researchers de‐inscriptions of how they resist and appropriate predominant notions of data in their data practices by problematizing the notion of data, asserting exceptions to the general case of data sharing, and resisting or opting out from data sharing.