After Oxford Drupal Education Camp this Friday-Saturday proceedings move on to a NE workshop.
If your focus is on person-centered health care then the volume of data involved that pertaining to the individual can be readily apprehended. At least the example of a single episode of care. Of course, there are exceptions, people who might be the subject of special case studies so complex is their condition and pathology. Data volumes do vary markedly from person to person. A great deal of generated data in an individual instance might be taken for granted. In the reported findings, for example, of an MRI scan that is included in a referral. When provided existing diagnoses do much to enrich the information and knowledge contained in a referral, whilst reducing possible avenues for further data gathering.
Once we move from individuals to groups and populations then the volumes involved quickly become massive. Purposes and context reflect this change in scale; codified, anonymised, aggregated the individual is lost.
Both my day-to-day work and study of Hodges' model (in nursing, informatics, literacy...) are centered on individuals. 'Caseness' in a clinical word: a referral, home visits for the day, face-to-face interaction, care concepts in assessments, plans. ... Then there is envisioning a nurse-patient (carer) interaction, or individual's episode of care through Hodges' model. As per the model's structure, however, groups and populations must also be represented. This duality of personal and data scales makes this workshop on visual methodologies of instant relevance. The two days next week cover (with my emphasis):
Introduction to working with visual methodologies: understanding epistemologies and disciplinary boundariesHodges' model can be readily interpreted and presented as a map and a series of story boards. The model can also support analysis, synthesis: well, this is my belief that is shared by some people.
Quality in visual methods: ethics, validity and reliability
Doing visual methods: lived examples of managing data capture, synthesis, analysis and dissemination
Modes of analysis: focusing on methodological and epistemological influence on the research process
Workshop part 1: working with self-created data
Workshop part 2: creating shared analytic frameworks for self-created data
Overarching ideas and ways forward for thinking about visual methodology
I have completed modules on research methods, but it seems increasingly that research methods, methodologies, data structures and algorithms overlap. It may be that advances in media, technology, data gathering and improved access to data sets is having this effect. Perhaps more integrative and open attitudes (interdisciplinarity) towards quantitative and qualitative research also accounts for this blurring; or it could just be me? Whatever is the case, I'm really looking forward to the programme, meeting the facilitators and students. I am hoping this will inform my project as per the aims of the workshop:
- Consider the role of visual methods in data collection, research ethics, synthesis, analysis and dissemination;
- Explore the theoretical prospectives, epistemological traditions and latest practices that have shaped the development of visual methodologies; and
- Enable participants to translate how visual methodologies can be used to support their own research.