Coherent methods for research with heterogeneous digital resources
- Data scope: gathering different datasets and cleaning, supplementing and linking them to be able to do analyses that spring from research questions
- there is little consensus how to proceed
- there is little understanding about the processes involved and how they influence further steps (such as analysis)
- often (falsely) regarded as a preparation of 'real research'
The purpose of the workshop is to make researchers aware of the different aspects of dealing with large-scale data. With data scopes we wan t to achieve the following:
- insight into data processing: processing data is an essential and inseparable part of research and not just an inevitable technical process after which the real research can begin
- transparancy of research: make research based on the processing and analysis of large and complex data more Transparent
- methodological discussion: consolidate digital methods in order to come to coherent and broadly supported research methodologies
- develop modes of collaboration: collecting, cleaning and linking data requires a lot of knowledge, of technical as well as content matters
- Tutorial: explanation of data scopes concepts
- Hands-on sessions: work in small groups on assignments relating to data scopes concepts
- be creative: assignments have no 'right solutions', we do not have the correct answers ourselves
- zen: assignments will be a mess, everything goes wrong, but that is part of the deal and they will turn out alright again
- Discussion: compare groups assignments, reflect on data scopes as a means to tackle the research process
Wednesday 5 September:
- 09:00-09:30 Workshop introduction
- 09:30-10:00 Data Scopes concept
- 10:00-13:00 Hands-on session 1: Exploring and analyzing online book reviews
- 13:00-14:00 Lunch
- 14:00-17:00 Hands-on session 2: Planning combining of book review datasets
Thursday 6 September:
- 10:00-11:00 Preparing data scope of assignments for handover
- 11:00-12:00 Data scope handover and assessment
- 12:00-13:00 Methodology discussion and wrap up
- What is your background? What are your experiences with and in using data in research?
- Why do you participate? What are your expectations?