- Reference (ex: what is the GDP of France?) – locate, access, cute
- Data mgmt – project plan, metadata, storag/share
So what Instruction needs to occur btw data reference and data management
- Statistical literacy – exploratory data analysis (Cobb & Moore, 1997)
- History teaching – heuristics of reading primary sources (Wineburg, 2001)
3 lesson plans
- Discover data through literature
- Evaluating data sets
- Research design
Data through literature
- ICPSR, etc serve as dataset source that faculty give to students and then to analyze it
- File format access and discoverability are challenges to data reuse
- Ex: sociological research methods course — students would find data from citation, understand value of secondary data analysis, see relationship btw data and literature, use documentation to evaluate a dataset
- Built upon existing ICPSR module http://www.icpsr.umich.edu/icpsrweb/instructors/edrl/index.jsp
- Health and populations course about demography:
- Students will understand the complex web of data products, use documentation to evaluate a dataset, articulate how variables relate to research questions
- Focus on structures that produce data (in this case, gov and orgs)
- Who cares about this topic to collect data? Who has authority/resources to collect data?
- What can the data show? Trend, disparity, comparison, spatial pattern
- How is data collected?
- Use data that can be viewed and manipulated online (vs downloading) — ex: World Bank
- This happens after learning about SPSS
- Students will identify potential collars and disseminators of data, describe accessibility issues associated with data sources, Operationalzing a research question In order to develop a data search strategy
- Who collects data and can I access it?