These materials were developed to assist a cohort of early career engineering education faculty to critically consider aspects of data management that they may implement in their developing research groups. These materials were used in the context of a two hour workshop and one hour brownbag. In the brownbag, the results of the Data Information Literacy research grant were discussed as they may be relevant to the early career faculty. The faculty then completed a self-assessment to identify their weak areas of data management and their personal priorities for data management. The two hour workshop was then conducted to assist faculty members to brainstorm solutions or implementations that may allow them to better manage the data their labs will be producing.

Learning Goals/Objectives

Participants will:

  • evaluate the current state of their research groups’ data management practices,
  • develop a prioritized list of mitigating actions that can be put into place, and
  • gain insight into how those actions can be transmitted to a research group.

DIL Competencies Addressed

  • Introduction to Databases and Data Formats
  • Discovery and Acquisition of Data
  • Data Management and Organization
  • Data Conversion and Interoperability
  • Quality Assurance
  • Metadata
  • Data Curation and Re-use
  • Cultures of Practice
  • Data Preservation
  • Data Analysis
  • Data Visualization
  • Ethics, including citation of data

Any of these competencies may be addressed with this intervention. Due to the flexible nature of the intervention, there is no requirement or plan that all competencies be addressed in a specific session.




Engineering Edcuation


Purdue University


Senay Purzer, Assistant Professor of Engineering Education (senay@purdue.edu), co-authored the graduate student self-assessment tool in response to the original brownbag/workshop.