Members attending: Pat Boze (Illinois State Library), Anita Foster (Illinois State University), Cindy Fuller (Millikin University), Tom Goetz (Harper College), Kristine Hammerstrand (CARLI), Tammy Kuhn-Schnell (Lincoln Land Community College), Tami Luedtke (DePaul University), Michael Norman (University of Illinois Urbana Champaign), Ted Schwitzner (CARLI), Matthew Short (Northern Illinois University), Susan Singleton (CARLI), Connie Walsh (CARLI), Suzanne Wilson (Illinois Wesleyan University)
Members absent: None.
Staff attending: None.
Guests: None.
The Task Force focused on reviewing the first drafts from the Describing Specification Team and the Sharing Specification Team. Matt Short led the review of the Describing document, identifying how the team tried to separate out cross-functional and generally-applicable specifications from those specific to describing functionality. TF discussion on the document suggested a need to incorporate questions and scoring opportunities around evolving linked data and descriptive standards. For instance, how do we take advantage of linked data in daily workflows? The TF recommended that the Describing Team refine the specifications, with a special focus on who would take what actions (library staff, consortium staff, system automation, vendor staff) at what times, and that an emphasis on sharing data and collaboration on workloads should be the norm in I-Share Next.
Tom Goetz led the review of the Sharing section, which he indicated grew from a list of currently used functionality along with desired improvements for workflows. The document largely contains basic specifications for discrete actions to be taken. TF discussion focused on the need to re-order specifications into logical progressions, to reduce ambiguity, and to expand context of specifications with use cases and describe questions. In particular, the TF recommended that the Sharing Team explicitly describe the “ABC scenario” for vendors as a current practice and an expectation for I-Share Next, and that specifications be refined to better address patron privacy concerns.