Ethics, Analytics and the Duty of Care ~ Data Conversion and Interoperability
Data Conversion and Interoperability
Data processing methodology: understanding and/or applying statistical procedures used to deal with intermediate data and statistical outputs, e.g., weighting schemes, statistical adjustment, or methods for imputing missing values or source data (APS, 2021)
Knowledge of different data types and conversion methods, converts data from one format or file type to another (Ridsdale, et.al., 2015)
Relevant Links
These links are typically articles defining data literacy that include this theme in their definition.
Antti Poikola, Canada.ca, 2021;, Chantel Ridsdale, et.al., Dalhousie University, Proceedings of the Doctoral Consortium of Sixteenth European Conference on Technology Enhanced Learning, 2015;, Databilities, et.al., Data to the People, Proceedings of the Doctoral Consortium of Sixteenth European Conference on Technology Enhanced Learning, 2020;, Helena Sternkopf, Roland M. Mueller, Department of National Defence, University of Hawai'i at Manoa, Proceedings of the 51st Hawaii International Conference on System Sciences, 2018;, Edith Gummer, Ellen B. Mandinach, Kateryna Maltseva Reiby, Teachers College Record, Safegraph, 2015;, Australian Public Service Commission, Christian Fieseler, Government of Australia, The Information Society, 2021;, Dave Wells, Christian Fieseler, Eckerson Group, The Information Society, 2022;