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Title:What data characteristics are needed for data reuse in the domain of social sciences in Korea?
Author(s):Kim, Nayon; Yoon, JungWon; Chung, EunKyung
Subject(s):Data reuse
Data needs
Data characteristics
Social sciences
Abstract:With the benefits of data sharing and reuse, data reuse have been promoted in various domains. While there are practices and discussions regarding data sharing and reuse, we still have little knowledge on what characteristics of data impact decisions on data reuse. In this sense, we aim to explore data characteristics in the context of data reuse within the domain of social sciences in Korea. For the purpose of this study, we conducted in-depth interviews with twelve re-searchers in the field of social science in terms of six dimensions: data producer, country/language, data type/collection method, procedure, accessibility, size/currency. For the producer dimension, social scientists preferred data that have been produced by an institution rather than an individual researcher. In language used in the data sets, English were more favored because researchers preferred English than any other languages. In terms of data type, quantitative and survey data types are preferred. For the procedure of data, researchers preferred original raw data with plenty of metadata and demographic information for analysis. For accessibility, there was less preference for restricted data. Lastly, for size/currency, researchers showed a preference for big size data and current data. These preliminary findings can provide better understanding about data reuse and guide improved data reuse services.
Issue Date:2020-03-23
Series/Report:iConference 2020 Proceedings
Genre:Conference Poster
Rights Information:Copyright 2020 Nayon Kim, JungWon Yoon, and EunKyung Chung
Date Available in IDEALS:2020-03-17

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