Inclusive Data Research Skills for Arts and Humanities/What is the research journey?

What is a Research Journey? If we use "journey" to describe the act and practice of research, then it is logical to assume that the researcher/active subject is travelling within a landscape of knowing. Therefore, building a local body of practice accumulates contest knowability constantly. If we define a body of knowledgeWenger-Trayner (ed.) Etienne 2014 Learning in Landscapes of Practice: Boundaries, Identity, and Knowledgeability in Practice-Based Learning http://ebookcentral.proquest.com/lib/ual/detail.action?docID=1753258. Created from ual on 2024-01-26 15:06:03. Taylor & Francis Group as a community of people contributing to the practice's continued vitality, application, and evolution, then the 'journey' of the research is terra-forming, worldbuilding or architecture. Boundaries of knowability and practices must exist in forming this container of 'known'. In Art and Design, practice-based research methodology is widely practised, debated and redefined. It is conventional to consider the duration of practice as a key factor in moderating the hierarchy of competency and accept its vulnerability to social prejudices. In Art and Design, practice-based research methodology is widely practised, debated and redefined. It is conventional to consider the duration of practice as a key factor in moderating the hierarchy of competency and accept its vulnerability to social prejudices. Data, according to BBC BitesizeA definition of data - Data and information - GCSE ICT Revision - WJEC - BBC Bitesize https://www.bbc.co.uk/bitesize/guides/z4g3pg8/revision/2 2024-01-26 www.bbc.co.uk, is raw facts and figures that make no sense or do not have meaning. Data is words, numbers, dates, images, sounds, etc., without context. In this definition, we must establish an esoteric typology for data in art and design research and research methodologies. The methodology to develop this emergent typology has to place iterative and reflexive deconstructions and reconstructions of standard practices in existing data science and data analytics. thumb|1261x1261px|center