This study attempts to understand Taiwanese scholars’ perceptions and practices of research data management (RDM). A total of 1,088 valid questionnaire responses were collected from 14 research universities and Academia Sinica to explore their perceptions and practices of various key issues of RDM, including sources and types of research data, data storage and search, metadata of research data, data management plan (DMP) mandates or requirements, training and support, and data sharing and reuse. Most respondents frequently create their own research data, obtain data from their research team, or download data from data repositories. Experimental data and social science surveys are the topmost data types used and produced. A vast majority of scholars are satisfied with their processes in storing and searching their own data, no matter within or beyond the project lifetime. Although most scholars store their data in their own devices or cloud drives for the short or long term, some scholars consider that data repositories created by their institutions or funding agencies, or those commonly used in their subject disciplines are appropriate for long-term preserving their data. Scholars have hardly taken any formal trainings on RDM, and they are willing to take trainings and be supported on data management plan (DMP). Scholars are willing to reuse quality and easily accessible data, and they are willing to share their data if they could place conditions on access. Lack of appropriate policies and rights protection, misuse of data, and misinterpretation of data are the three topmost data sharing concerns. Subject disciplines and age levels reveal significant difference in many aspects. The research results are beneficial for academic libraries in Taiwan to plan their RDM services. Three suggestions are given: (1) research institutes and academic libraries are encouraged to organize trainings on research data management for their scholars; (2) funding agencies and research institutes are encouraged to formulate research data management policies or mandates; (3) research institutes, academic libraries, and funding agencies are encouraged to establish research data repositories that are equipped with the functionality of access control.
|Effective start/end date||2018/08/01 → 2019/12/31|
- Research Data Management (RDM)
- Data Management Plan (DMP)
- Digital Scholarship
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