Second day at #TriangleSCI with the #humetrics team. Today we focused on clustering our values into major value-categories (Equity, Openness, Collegiality, Quality, and Community) with the idea that excellence in scholarship is an expression and combination of these value-categories as they are embodied in scholarly practices. Here our mapping on the whiteboard:
Here I am going to focus on “Openness” and the values we assigned there: accountability, candor, learning from failure, open process, open source, transparency.
Full disclaimer: we do not claim (yet) to be complete and comprehensive in this representation, but we do believe that in some form or another these values shall drive and be encompassed by the practices of research and scholarship (especially in the humanities, of course, but, personally, I think the application of this exercise can be broader than that). We definitely welcome feedback and comments here.
So, Openness… as a strong advocate for open practices in research and scholarship I was fascinated by the breadth the of the account we are considering: openness not only in terms of outputs and means to achieve them, but also openness in practices and attitudes towards other members of the community. Part of the exercise was also to assign these values to practices where we felt they were (even just aspirationally) and expression of such a value and name of them seem to have an “open” component to them that shall be nurtured and rewarded (you see the pattern here? Going from values to practices such that we can identify metrics that would incentivize the expression of those values in the practices). The following picture shows the exercise: for openness look for the burgundy stickers:
Next step is to operationalize some of these mapping in a way that would make the the embodiment of values in the practices measurable. Possible approach: look at the transactions and outputs of activities from a value perspective and scoring them higher when certain criteria are met (e.g. scoring higher research outputs that are made made OA, or value when data are curated for sharing and reuse, or when participation in a collaboration is supported and sustained by open and transparent processes).