icepyx: Community and Software for the Open Science Journey
Abstract Open science accelerates our ability to collaborate and produce quality, inclusive scientific results, making it essential for addressing the challenges of our time. Despite its collaborative nature and outcomes, any one person's path to doing science openly can be highly nonlinear and individualized. Many researchers are supportive of open science ideals like inclusivity, sharing data, collaborating on code, and reducing duplication of effort while increasing reproducibility. Yet these same researchers may lack the safe spaces, support, and technical training required to fully explore what it means to conduct their science openly and collaboratively. Most open-source software communities are truly welcoming, inclusive, and highly supportive of learning and growth, but it can still be intimidating for scientists to enter or remain in these technical spaces. Smaller communities and software packages that provide discipline-, instrument- and/or sensor-specific tooling can fill a critical gap by offering a more intimate space for facilitating open science practices, particularly among researchers who may have minimal formal software development training to accompany their domain expertise. The icepyx (pronounced ice-picks) community and Python software library aims to (1) provide technical software solutions to address shared challenges in NASA’s ICESat-2 data access and analysis pipeline; and (2) create a community and space for people to learn how to collaborate on software and foster the open sharing and co-working that readily takes place during in-person workshops but can be difficult to emulate in a virtual space. By providing a supportive, peer-led space for contributors to practice open, shared development throughout their project timelines, icepyx facilitates the long-term skill building and collaboration required to achieve the ideals of open science that make science accessible, time-efficient, and open for all. More Information Slides for a presentation (talk) in American Geophysical Union (AGU) 2024 Annual Meeting session U31C: Open Science Recognition Prize.
Institutions
- Goddard Space Flight Center (US)
- Oregon State University (US)
- KBR (United States) (US)
- University of New Hampshire at Manchester (US)
- University of Toronto (CA)
- University of Colorado Boulder (US)
- University of Colorado System (US)
- NOAA National Ice Center (US)
- National Snow and Ice Data Center
- University of Maryland, College Park (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-11
- DOI
- https://doi.org/10.5281/zenodo.14751078
- Primary Topic
- Vagus Nerve Stimulation Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00