Data Literacy ~ 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.
, Canada.ca, 2021;, Chantel Ridsdale, et.al., Dalhousie University, 2015;, Databilities, Data to the People, 2020;, Helena Sternkopf, Roland M. Mueller, University of Hawai'i at Manoa, Proceedings of the 51st Hawaii International Conference on System Sciences, 2018;, Edith Gummer, Ellen B. Mandinach, Teachers College Record, 2015;, Australian Public Service Commission, Government of Australia, 2021;, Dave Wells, Eckerson Group, 2022;