https://scholars.lib.ntu.edu.tw/handle/123456789/405718
標題: | Toward a conceptual framework for data sharing practices in social sciences: A profile approach | 作者: | Jeng, Wei He, Daqing Oh, Jung Sun |
關鍵字: | knowledge infrastructure (KI) | qualitative data | Research data sharing | social science | Theory of Remote Scientific Collaboration (TORSC) | 公開日期: | 一月-2016 | 卷: | 53 | 期: | 1 | 起(迄)頁: | 1-10 | 來源出版物: | Proceedings of the Association for Information Science and Technology | 摘要: | © 2016 Wei Jeng, Daqing He, and Jung Sun Oh This paper investigates the landscape of data-sharing practices in social sciences via the data sharing profile approach. Guided by two pre-existing conceptual frameworks, Knowledge Infrastructure (KI) and the Theory of Remote Scientific Collaboration (TORSC), we design and test a profile tool that consists of four overarching dimensions for capturing social scientists' data practices, namely: 1) data characteristics, 2) perceived technical infrastructure, 3) perceived organizational context, and 4) individual characteristics. To ensure that the instrument can be applied in real and practical terms, we conduct a case study by collecting responses from 93 early-career social scientists at two research universities in the Pittsburgh Area, U.S. The results suggest that there is no significant difference, in general, among scholars who prefer quantitative, mixed method, or qualitative research methods in terms of research activities and data-sharing practices. We also confirm that there is a gap between participants' attitudes about research openness and their actual sharing behaviors, highlighting the need to study the “barrier” in addition to the “incentive” of research data sharing. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/405718 | DOI: | https://api.elsevier.com/content/abstract/scopus_id/85015266753 10.1002/pra2.2016.14505301037 |
顯示於: | 圖書資訊學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。