Session Submission Summary

Interrupting Open Science: Use, Reuse, and Misuse of Research Data and Code

Wed, September 4, 9:45 to 11:15am, Sheraton New Orleans Hotel, Floor: Four, Oak Alley

Abstract

Use and reuse of research materials such as data and code are central themes of open science policies. Funding agencies, publishers, and researchers increasingly expect research products to be publicly available in order to promote scientific reproducibility and maximize benefits derived from funded research. Data and code are of particular interest for several reasons: the complexity of workflows and the opacity of analytical tools in computational science often invites skepticism and a corresponding demand for transparency; the perceived "softness" of data and code suggests appealing opportunities for adaptation and innovation; further, open science practices often treat research data and code as fungible and portable commodities. The underlying assumptions of open science (for example, that reuse is inherently good) are rarely questioned, however. Little attention has been given to the burdens, risks, and failures of open science.

This session includes papers that enrich, complicate, and problematize the values of use and reuse in open science. Potential questions to explore include: Whose interests are served in promoting open science, and at what expense? In what ways is it problematic to repurpose and adapt data and code in new contexts? When does reuse verge on misuse? What does reuse look like in practice and what forms of value can be expected to emerge from it (and not)? Finally, how should the distinction between use and reuse be conceptualized in the first place?

Individual Presentations

Session Organizers