Open Science in Action: Data, Software, Access, Science

Session ID#: 122142

Session Description:
Advances in data, software, and computing are enabling transformational, interdisciplinary science, changing the realm of possible questions. Open science communities can advance science and inclusivity simultaneously. Practically, many scientists who wish to move towards more openness and reproducibility struggle to understand what resources are available to enable open and reproducible science. This session seeks to connect the community of open data, open source software, open science platforms, open access, and open science practitioners, both technology developers and users across science disciplines.

We propose a full-day session that combines keynote speakers in two morning oral discussion sessions, followed by two afternoon sessions: one e-Lightning and one interactive mini-workshop session. For all sessions, speakers will be asked to provide links to demonstrations and tutorials (where possible). We will plan for a fully virtual session, unless it is clear that travel has fully resumed, with short dynamic talks in each session, leading to a moderated discussion at the end of each session that will include the session chairs, invited speakers, and presentation authors.

The first morning oral discussion session will showcase open science technology developers, including demonstrations of open source software and technology tools, and using open science data platforms. This format will allow us to have a community discussion of open science practices, highlight useful tools and science, and provide hands-on practical tutorials for scientists.

The second morning oral discussion session will showcase open science results and use cases, exploring the implementation of open science workflows and bringing together scientists across domains to share open science knowledge. Demonstrations of these workflows and a discussion of pain-points will be useful to both scientists and the technology developers.

The first afternoon session will bring together the topics from the morning in a cross-disciplinary e-Lightning session that brings together all the different parts of open science to cross-pollinate ideas between technology developers and scientists.

The second afternoon session will be an interactive demonstration of open science in action. The format will build upon the experience of successful virtual hackathons (e.g. OceanHackWeek). This session will build off of the morning tutorials and other presentations, putting knowledge and ideas into action with a focus on first-time users and first-time contributors experiences. The benefit will be two-fold; attendees get first-hand experience with open science workflows, while also contributing back to the open science community. The session will be welcoming of all levels of coding and scientific experience.

Most of the day will focus on Python-based open science practices, following communities including Pangeo and AstroPy. There is a workshop proposal on open science practices and cloud-computing using the Pangeo Cloud environment that compliments this day-long event nicely.

Relationship to AGU strategic plan: This session engages AGU “partners” (e.g. software and science platform communities) to advance solutions-based science. The sessions will include a discussion of code-of-conducts, advancing inclusivity, and promoting open knowledge transfer. The tutorials generated by the sessions and mini-hackathons will further advance open science by creating open-science resources that conveners will promote during AGU on social media.

Co-Sponsor(s):
  • AAS: American Astronomical Society -
  • ESA: Ecological Society of America -
  • EGU: European Geosciences Union -
  • WCRP: World Climate Research Programme -


Primary Convener:  Chelle L Gentemann, Farallon Institute, Petaluma, CA, United States
Conveners:  Steven Crawford, NASA Headquarters, Washington, United States, Paige Martin, University of Michigan Ann Arbor, Ann Arbor, MI, United States and Fernando Perez, University of California, Berkeley, Statistics, Berkeley, CA, United States
Primary Liaison:  Paige Martin, University of Michigan Ann Arbor, Ann Arbor, MI, United States