Developing a good combinator

A combinator is essentially a label for a query run on your data that will connect elements of your data return by that query with concepts in the dataARC concept map. Examples of combinators can be found in this spreadsheet . The following key components are required for any new combinator:

  • Combinator (mapping) name. A short human-readable description of the connection to be made
  • Data query. A database query string that gathers the appropriate data to support the connection. You will construct this using a GUI, so don’t worry if you’re not familiar with how to code a query.
  • List of connected concepts. Concepts should be chosen from the list of concepts in the dataARC concept map.
  • Reasoning for connection. A short description of the relevance of your selected data to human ecodynamic research, and reasoning behind the connection between the data returned by the query and the concepts selected.
  • Literature citations. List of supporting literature used to formulate the combinator. See this documentation for guidance on selecting literature.