Psychological Science Accelerator Data Management Bylaws
Year: 2019
Type: preprint
Abstract: We describe the data management bylaws for the Psychological Science Accelerator (PSA), a distributed network of laboratories dedicated to completing large-scale collaborative behavioral science projects. Our bylaws are organized around the principles of ethical data use, security, accuracy, usability, transparency. We describe how these embodied throughout the lifecycle of a PSA project, from project proposal to data release. In addition to setting up the policies and guidelines for the management of PSA data, we hope this document can provide a useful best practices for individual researchers thinking about the management of their own behavioral science data.
Authors: Patrick S. Forscher, Balazs Aczel, Christopher R. Chartier, Erica D. Musser, Kai Tobias Horstmann, Jon E. Grahe, Zoltan Kekecs, Katherine S. Corker, Miroslav Sirota, Leigh Ann Vaughn, Aaron Lee Wichman, Marietta Papadatou-Pastou, Thomas Rhys Evans, Peter Szecsi, Daniel Storage, Gerit Pfuhl, John Borghi, Heather L. Urry, Peder Mortvedt Isager, Hannah Moshontz, Hans IJzerman, Jessica Kay Flake
Institutions: Tufts University, Duke University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3161257786