Data Literacy ~ Data Manipulation
Data Manipulation
Manipulating, processing, cleansing and combining data for further analysis or use. Automation of complex manipulation on large data volumes... covers reformatting, cleansing and combining of data from different sources for further analysis, storage or use. This includes simple processes to check and transform data, through to automating complex manipulation of large data volumes. This excludes analysis, in-depth domain knowledge and ongoing management of datasets (Heeley & Wilkinson, 2018).
Relevant Links
These links are typically articles defining data literacy that include this theme in their definition.
L. Heeley, S. Wilkinson, Joint Nature Conservation Committee, Gov.uk, 2018;, Chantel Ridsdale, et.al., Dalhousie University, 2015;, Databilities, Data to the People, 2020;, Annika Wolff, Daniel Gooch, Jose J. Cavero Montaner, Umar Rashid, Gerd Kortuem, 2016;, Helena Sternkopf, Roland M. Mueller, University of Hawai'i at Manoa, Proceedings of the 51st Hawaii International Conference on System Sciences, 2018;, Andreas Grillenberger, Ralf Romeike, Proceedings of the 13th Workshop in Primary and Secondary Computing Education, 2018;, Australian Public Service Commission, Government of Australia, 2021;, Dave Wells, Eckerson Group, 2022;