Module Review Criteria

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Author Review Criteria

1. Module successfully addresses the Target Audience = Researcher / Scientist

  • Is the data creator focused on the concepts within the data
  • Is the team member who just needs to know enough about data management to pass on the data to be stored / archived
  • Is the person who best knows the conceptual focus and context
  • Is the person motivated by use and re-use of the data (their own, if not others)
  • Is also a non-expert user of the data, geared to the undergraduate or general college level
  • Is not the data manager who needs to receive, store, and archive the data and its context
  • Is not the data curator who must place this data within the collections of the data center
  • Is not the data librarian who helps others find, render, and use the data

2. Module has Conceptual Integrity

  • Concepts discussed succinctly and accurately
  • Concepts within module discussed completely within timeframe of 3 - 7 minutes for review or presentation


   The module should be well-formed (i.e., follow the guidelines above)
   The content is balanced in that it should be concise, yet simultaneously both accurate and complete
   The references should be relevant and any URL's should work
   The content should be geared to a non-expert yet undergraduate or general college level audience
   The content should be simple and understandable by that audience
   Jargon and data management terminology (e.g., data set, granule, etc.) needs to be defined or avoided
   Imagery should be appropriate to the topic and either openly available or appropriately cited