Data Information Literacy @ Purdue

By this time last week I had come and gone to the Data Information Literacy (DIL) Symposium at Purdue University. It was a very well-organized event, and I learned a number of things.

First of all, I believe the twelve DIL Competencies were well-founded and articulated:

  • conversion & interoperability
  • cultures of practice
  • curation & re-use
  • databases & formats
  • discovery & acquisition
  • ethics & attribution
  • management & organization
  • metadata & description
  • preservation
  • processing & analytics
  • quality & documentation
  • visualization & representation

For more detail of what these competencies mean and how they were originally articulated, see: Carlson, Jake R.; Fosmire, Michael; Miller, Chris; and Sapp Nelson, Megan, “Determining Data Information Literacy Needs: A Study of Students and Research Faculty” (2011). Libraries Faculty and Staff Scholarship and Research. Paper 23.

I also learned about Bloom’s Taxonomy, a classification of learning objectives. At the bottom of this hierarchy/classification is remembering. The next level up is understanding. The third level is application. At the top of the hierarchy/classification is analysis, evaluation, and creation. According to the model, a person needs to move from remembering through to analysis, evaluation, and creation in order to really say they have learned something.

Some of my additional take-aways included: spend time teaching graduate students about data information literacy, and it is almost necessary to be imbedded or directly involved in the data collection process in order to have a real effect — get into the lab.

About 100 people attended the event. It was two days long. Time was not wasted. There were plenty of opportunities for discussion & interaction. Hat’s off to Purdue. From my point of view, y’all did a good job. “Thank you.”

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