Session Abstract:
As data, software and services have citations there are other objects that do not fall easily into these categories. These “Research Objects” can include ontologies, workflows, physical samples, instruments, etc. As these are used as elements in one’s research they should be properly attributed to and referenced, thus citable. This session will discuss and try to quantify what research objects are, how do they effect the research community and how can the current citation formats be used or adjusted to suit a wider breadth of objects.
Agenda:
- Intro and explanation about history of citing research Objects (Mark Parsons, Rensselaer Polytechnic Institute)
- Work done by Force11 on software citationand what's next (Dan Katz, Univ. Illinois at Urbana-Champaign -- remote)
- Identifiers for physical samples -- lessons learned and plans for IGSN2 (Kerstin Lehnert)
- The Digitial Object Interface Protocol (DOIP) (Larry Lannom, CNRI--presented by Mark Parsons)
- Discussion. What is a research object? What should be cited? What are the general use cases to consider.
Notes at https://docs.google.com/document/d/18ooEixbchKp-qgAG7qtnebKrWDYsutt4d2eX3HsaWls/edit?usp=sharing
Session Takeaways (post-meeting):
1) A grand challenge of citation is determining the purpose of citation: Credit? Access? Reusability? Interoperability?
