APPA Informatics Workgroup

APPA Informatics Workgroup October 15, 2015 APPA

I. Purpose CFTA was invited to participate in the APPA Informatics Workgroup. Job Gibb, Dixie State University Facilities Planning Director, is serving as a CFTA representative and attended the first workgroup meeting in Chicago. This document recaps Jon’s participation at the meeting.

II. Attendees Chris - University of Virginia (standing and is co-chair) Marcus - University of Texas Austin (to Chris’ left and is co-chair) Craig - Clarkson University Paresh - University of Kentucky Andrew - University of Kentucky Douglas - Simon Frasier Sue - University of New Mexico David - Arkansas State University Jon - DSU Roy - Kent State Sam Waymire - APPA Mark - University of Virginia Jerry - University of Iowa Ted - Purdue Lalit - Nebraska John - APPA Robert - University of Alberta APPA Informatics Workgroup October 15, 2015 APPA

III. Introductions I introduced myself as a representative of CFTA. I let the group know that as an institution I looked for benchmarking resources with regards to GIS implementation on our campus and found CFTA as an incredible resource. I let them know that Michelle is the current president and interested in the opportunities that CFTA and APPA have in a relationship. John mentioned that he is working with Michelle and some ideas.

IV. Informatics Origination Marcus and Chris were at the APPA Thought Leaders Symposium in Austin this past summer and tasked with the concept of data and what APPA could do with it and, as a result, were asked to co-chair this informatics work group. They want this work group to overlap tech, business knowledge and curiosity.

V. Group Tasks We were divided into four groups with different tasks: a. Data – standards and data sets. Provide a central reporting tool with APPA for benchmarking b. Maturity model – case study, road map, templates. Create a matrix of data categories and with that define how mature an institution is. c. Predictive – curious investigation and a business case for informatics. Look at current best practices, use examples. d. Virtual University – living lab with data, deploying data and sharing on a simple size which would grow out to a larger community. Allowing simulation trials with data to see what happens if a decision is made.