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The Annodata Framework: Putting FAIR data into practice
Deutsche Bundesbank 2022.10.17 원문보기
Empirical data usage increasingly penetrates all fields of social science research. Large journals react by introducing data sharing requirements. The FAIR principles capture such best practices for research data use. However, the fraction of publications exempt from data sharing requirements increases. This puzzle arises, because research increasingly uses granular and linked data. Such data offers enhanced possibilities to identify research issues of interest. Yet, with increasing granularity and linkages, data protection and privacy protection issues get complex. As a solution, we introduce the annodata framework. By establishing a granular set of descriptive items pertaining to technical and legal data access, we enable a practical implementation of FAIR data access for confidential microdata. The annodata framework benefits empirical research through improved reproducibility by rendering granular data used in publications findable and accessible. Data users benefit from a level playing field with clear data usage terms and efficient data access. Data owners benefit through reduced redundancy in data governance processes and clear compliance with legal and audit norms
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