96. Caring for, sharing, and reusing data as emic STS practices
Kathleen Gregory, University of Vienna; Andrew S. Hoffman, Leiden University;
Under the banner of 'Open Science,' funding agencies, universities, and publishers are implementing policies requiring researchers to share their research data as openly as possible -- or to otherwise justify why they're not. Such demands have been taken up in STS and adjacent fields as objects of study and critique (e.g. Gregory et al. 2019; Mirowski 2018; Pels et al. 2018), while data management, data care, and data sharing/reuse are emerging elements of STS practice itself (e.g. Maienschein et al. 2019; Okune et al. 2022).
This panel explores what data care/management, sharing, and reuse look like as emic STS practices. What do we construe to be data in STS? How are we (not) caring for/managing our own data, and for the data of our fellow researchers? How and where do we share data, with whom, and to what ends? What practical, methodological, and epistemological challenges do we face as we (try to) do so? And what infrastructures are we (dreaming of) creating to facilitate data management, sharing, and reuse in our field(s)?
We invite contributions that discuss and reflect on
--examples of (attempted) data sharing in STS projects, focusing on successes and also failures
--the affordances/challenges of reusing data in STS research
--the epistemic politics of data sharing practices and infrastructures in STS and adjacent fields
--the development (or lack thereof) of metadata standards/classifications used for describing STS data
--concrete interventions and innovations in STS data management practice
--the applicability of STS knowledge/expertise to careers in research data management
