Shifting institutional culture to develop climate solutions with Open Science
Authors:
- Julia Stewart LowndesJLJulia Stewart Lowndes
- Anna M. HolderAHAnna M. Holder
- Emily H. MarkowitzEMEmily H. Markowitz
- Corey ClatterbuckCCCorey Clatterbuck
- Amanda L. BradfordABAmanda L. Bradford
- Kathryn DoeringKDKathryn Doering
- Molly H. StevensMSMolly H. Stevens
- Stefanie ButlandSBStefanie Butland
- Devan BurkeDBDevan Burke
- Sean KrossSKSean Kross
- Jeffrey W. HollisterJHJeffrey W. Hollister
- Christine StawitzCSChristine Stawitz
Open Access
- 31 May 2024
- journal article
- editorial
- Published by Wiley in Ecology and Evolution
- Vol. 14 (6) , e11341
Abstract
To address our climate emergency, “we must rapidly, radically reshape society”—Johnson & Wilkinson, All We Can Save. In science, reshaping requires formidable technical (cloud, coding, reproducibility) and cultural shifts (mindsets, hybrid collaboration, inclusion). We are a group of cross‐government and academic scientists that are exploring better ways of working and not being too entrenched in our bureaucracies to do better science, support colleagues, and change the culture at our organizations. We share much‐needed success stories and action for what we can all do to reshape science as part of the Open Science movement and 2023 Year of Open Science.Keywords
Funding Information
- Earth Sciences Division (20‐TWSC20‐2‐0003)
This publication has 18 references indexed in Scilit:
- Rethinking academia in a time of climate crisiseLife, 2023
- Ten simple rules to cultivate belonging in collaborative data science research teamsPLOS Computational Biology, 2022
- Developing a Toolkit for Fostering Open Science Practices2021
- Barriers to integration of bioinformatics into undergraduate life sciences education: A national study of US life sciences faculty uncover significant barriers to integrating bioinformatics into undergraduate instructionPLOS ONE, 2019
- Supercharge your research: a ten-week plan for open data scienceNature, 2019
- Ten simple rules for helping newcomers become contributors to open projectsPLOS Computational Biology, 2019
- Implicit Theories of Interest: Finding Your Passion or Developing It?Psychological Science, 2018
- Unmet needs for analyzing biological big data: A survey of 704 NSF principal investigatorsPLOS Computational Biology, 2017
- Ten Simple Rules for Taking Advantage of Git and GitHubPLOS Computational Biology, 2016
- Ten Simple Rules for the Care and Feeding of Scientific DataPLOS Computational Biology, 2014