Climate-related Indicators and Data Provenance: Evaluating Coupled Boundary Objects for Science, Innovation, and Decision-Making

Abstract:

Boundary object theory focuses on the role of artifacts, such as indicator images, in translation and communication across the boundaries of social groups. We use this framework for understanding how data can communicate across contexts to answer the question: Can coupling climate-related indicators with data provenance support scientific innovation and science translation? To address this question we conducted a study to understand the features and capabilities necessary for indicators and data provenance for scientific uses, using the recently online-released U.S. Global Change Research Program (USGCRP) Indicators and Global Change Information System (GCIS) as linked boundary objects. We conducted semi-structured interviews with professional researchers in which we asked the researchers to explore and describe what they observed that was useful or frustrating for a subset of the USGCRP Indicators, related GCIS content, and other similar indicator and metadata websites. Participants found these sites' navigation and the labeling and description of their assets frustrating and confusing, but were able to clearly articulate the metadata and provenance information they needed to both understand and trust the indicators. In addition to identifying desired features that are likely to be specific to this audience (e.g., references or citations for indicators), scientists wanted clear, easier-to-access provenance information of the type usually recommended for documenting research data. Notably, they felt the information would be best presented in a fashion accessible to a broader audience, as those with more technical expertise should be able to infer additional contextual details given the provenance information that they had identified as key. Such results are useful for the improvement of indicator systems, such as the prototype released by USGCRP. We note in particular that the consistency of responses across the multi-disciplinary sample, which included scholars in astrophysics, geography, marine biology, and conservation ecology, suggests that data and indicators have strong potential to serve as boundary objects to bridge diverse spaces, and may provide a useful point of reference for establishing interdisciplinary collaboration.