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Openscapes: Supporting kinder science for future us

We believe open science can accelerate data-driven solutions and increase diversity, equity, inclusion, and belonging in research and beyond.

We champion open data science: the tooling and people enabling reproducible, transparent, inclusive practices for data-intensive research.

Julia Stewart Lowndes PhD, Openscapes, NCEAS, UC Santa Barbara

Ileana Fenwick, Openscapes, U North Carolina Chapel Hill

and the Openscapes community

University of Toronto Mississauga Biology Seminar, March 24, 2023

Artwork by Allison Horst

Slides: openscapes.org/media | openscapes.org

https://www.utm.utoronto.ca/biology/biology-seminar-series

Thank you so much, so excited to be here today with Ileana Fenwick; thank you for this invitation!

We are so excited to share today about how Openscapes supports kinder science for future us

Openscapes is a movement and a community that I founded and have built together with my partner Erin Robinson and the growing Openscapes community.

We champion open data science: the tooling and people enabling reproducible, transparent, inclusive practices for data-intensive research. We believe We believe open science can accelerate data-driven solutions and increase diversity, equity, inclusion, and belonging in research and beyond.

Researcher focused

Title

Openscapes: Supporting kinder science for future us

Abstract

At Openscapes, we believe open science can accelerate interoperable, data-driven solutions and increase diversity, equity, inclusion, and belonging in research and beyond. Our main activity is mentoring environmental and Earth science teams in open science, and connecting and elevating them both through tech like R, Python, Quarto, and JupyterHubs and communities like RLadies, Black Women in Ecology Evolution, and Marine Science, Ladies of Landsat, and NASA. We’ll share stories and approaches about supporting open science as a daily practice – better science for future us – and welcome you to join the movement.

Bio

Julia Stewart Lowndes, PhD

Director, Openscapes

Julia Stewart Lowndes, PhD is a marine ecologist working at the intersection of actionable environmental science, data science, and open science. Julia’s main focus is mentoring teams to develop technical and leadership mindsets and skills for data-intensive research, grounded in climate solutions, inclusion, and kindness. She founded Openscapes in 2018 as a Mozilla Fellow and Senior Fellow at the National Center for Ecological Analysis and Synthesis (NCEAS), having earned her PhD from Stanford University in 2012 studying drivers and impacts of Humboldt squid in a changing climate.

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Founding Director, Openscapes

Senior Fellow, National Center for Ecological Analysis & Synthesis, University of California Santa Barbara

Mozilla Fellow • Better Scientific Software Fellow

Openscapes helps research teams transition to inclusive open data science workflows

We mentor teams to better tackle their questions by strengthening shared practices, underpinned by existing tools. Supercharge your research (Lowndes et al. 2019); Open software means kinder science (Lowndes 2019)

Hi, I’m a marine ecologist and Openscapes founder

Julia Stewart Lowndes, PhD

Motivation from our own data-intensive marine science

Our team found out the hard way that our default approaches

for data analysis were not reproducible by even ourselves.

Our path to better science in less time using open data science tools (Lowndes et al. 2017)

Open Science Community Member, entryway through R

Inclusive peer-learning role-modeled across disciplines & career stages

R for Excel Users (Lowndes & Horst 2020)

@juliesquid PhD research

Photo: Greg Auger, 2009

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Team Member, Openscapes

Fellow, National Science Foundation Graduate Research Fellowship

PhD Student, Nye Quantitative Fisheries Ecology Lab UNC Chapel Hill

Hi, I’m a marine ecologist and Openscapes Core Team Member

Openscapes creates a more equitable and sustainable future for our field

We produce programming that centers inclusion and equity to bring open science skills to historically excluded audiences.

Ileana Fenwick

Using data intensive science to understand marine communities

My research focuses on how we can quantify community level change and dynamics in marine communities globally. I am especially interested in community resilience and recovery to disturbances.

Open Science Community Member, started learning in R

Learning, co-teaching, and instructing around open science and coding

@_ileanaf on Twitter

Diving in Mo’orea, French Polynesia

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Show and Tell

How it started

Disjointed work flow

lost time
lost data
lots of frustration

Openscapes Champions

Program 2021

Community and Instruction

Learned skills to improve my workflow (e.g. Github)
Built community around data and open science

How its going

Amplifying the Power of

Open Science

Led my first Github clinic
100+ Github contributions

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Open science changed the way I do my work

Artwork by Allison Horst

Open Data Science: the tools and practices enabling reproducible, transparent, and inclusive practices for data intensive science

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Open science changed the way I do my work

Artwork by Allison Horst

Open Data Science: the tools and practices enabling reproducible, transparent, and inclusive practices for data intensive science

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Open science saved me

I found community
Open science tools improved my workflow
Discovered my passion for data science education

Artwork by Allison Horst

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Open science is a movement

Happening globally across all of science

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“Open science is not just about improving the way we share data and methods, it’s about improving the way we think, work, and interact with each other. It’s about technology enabling social infrastructure towards kinder science.”

Open software means kinder science (Lowndes 2019, Scientific American)

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What Openscapes brings

Focused on research teams, connecting to leadership
Centering climate
Kinder science, inclusion

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Openscapes helps researchers move from lonely science as they explore and navigate the open science landscape safely with their teams.

engage • empower • amplify

Ileana - Openscapes is part of this open science, kinder science movement

We think about open science like a landscape. Our flagship program is Openscapes Champions, which is an open data science mentorship program for teams. We help researchers move from sad and lonely science like the animals on the bottom left to team science as they identify their common needs and start navigating the landscape together with a cohort of their peers. We help them orient to existing pathways in the landscape created by open science communities, and we also build new trails when there is a need. We think a lot about safety. How to make it safe to participate in open science for more people

----

Designed to onboard teams to open data science community tooling & practices:

Participants: Cohort of 7 teams (team leads & members) with diverse skill sets and needs
Duration: 2-4 months (4 hr/months)
Deliberate focus on empathy, inclusion & kindness
Mentored-coached Mozilla-style: remote-by-design
Lesson series focus on tooling, norms, and leadership for better science in less time

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Better Science

more open, reproducible, efficient, interoperable, resilient
more diverse, equitable, inclusive, kind

Future Us

ourselves, teams, communities
next hour, week, decades

Important mindset for (environmental) science

A real investment, particularly for data-intensive research

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Ileana

Better science is science that is more open and reproducible, it's more diverse, equitable, inclusive, and just, and it is for Future Us: the ideas of our teams, and communities, and who will be joining and continuing our work, whether that is next week or next century. Future Us is an important mindset for science and society at large, and particularly important in environmental science.

Investment. <<

transition: it's particularly important for us in data-intensive science, because default approaches to data-intensive research feel like this.

“Future Us” builds from the idea of “Future You/Future Self” being your most important collaborator (see Wilson et al 2017) but with a team science mindset promoting diversity, equity, inclusion, and belonging. How can you work today so that someone other than yourself could reproduce/contribute tomorrow? We describe this more in Lowndes et al. 2019

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Robinson & Lowndes 2022

Invest in learning and trust Everyone has something to learn, ask, teach; don’t need to be an expert in everything. Cultivate psychological safety, growth mindset. Slowing down to speed up.

Flywheel

Create space and place to connect and collaborate; remove barriers to participation (paid time, part of jobs)

Empower

Learning culture

Engage

A Future Us mindset

Amplify

Open leaders

Work Openly Put what you learn into practice quickly, role- modeling sharing imperfect work. Identifying common challenges & opportunities. Documentation. Openness is a spectrum; first Future You and then Future Us.

Welcome

bright spots (be they mentors or researchers) –people who want to work better and collaborate

Leverage common workflows, skills, tools. This is where we speed up: Iterate, reuse, remix with each other and the broader community

Inspire broader scientific communities through visible examples and leaders – Open science shift

Julie: We’ll share 3 stories of this Flywheel: me: Champions & NASA, then Ileana about the Pathways program

This is how we work: we’ve developed a cyclical process we talk about as the Openscapes Flywheel. We engage a Future Us mindset through welcoming and creating space and place, we Empower a learning culture by investing in learning and trust, and working openly, and we amplify open leaders by leveraging common open data science workflows, skills and tools and inspire broader scientific culture.

The Flywheel is a concept developed by Jim Collins in the book Good to Great; it’s the idea that when building something to last, there is no single defining action. Rather, the process resembles relentlessly pushing a giant, heavy flywheel, turn upon turn, building momentum until a point of breakthrough, and beyond. We’ve found these are the synergistic and overlapping elements for open data science movement building which we’ve tested, iterated, and refined in working with over 150 research teams since 2019. We are really focused on building habits that last, and institutional change that lasts. Let me share a few example:

https://www.jimcollins.com/concepts/the-flywheel.html

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“As fisheries scientists, we know that when we’re in rough seas, it’s important to keep the ship afloat AND get out of the storm.

Openscapes helps teams steer out of the storm of email chains with 37 versions of the same spreadsheet and to the calmer waters of open science and meaningful collaboration, using tools like R.”

Adyan Rios

NOAA Southeast Fisheries Science Center

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Normalize talking about data

creating place and space

Identify and address shared needs

learn existing tooling, practices

Think ahead for Future Us

reproducibility, inclusion, role-modeling

Openscapes Champions Program

Openscapes Champions open source lesson series: Available for use and reuse: openscapes.org/series

Focus on the common:

People <> Process <> Technology

Lowndes et al . 2019, Nature

Since 2019 we’ve led 17 Champions Cohorts (150+ teams); Champions > Teams > Mentors

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Identifying the common parts of data analysis

Wickham & Grolemund 2016

Science!

Towards less reinventing:

Julie

The first was stepping back and thinking about the common parts of our data analysis.

This is HW’s conceptual diagram for data science where he illustrates the importance of tidying data first before beginning to ask your research question. this was criticatl for us to separate out the common parts we were all reinventing so we could collab on those common parts and then give more creative energy and time for the science.

Less reinventing

-----

This is probably the most impactful figure in my science-life. The idea that no matter your question, your study system, etc, you will need to go through these deliberate steps if you’re working with data. And it’s really in this grey box of Understanding where the Science starts. So this is separating your science questions from this first part, which is import and tidying.

The idea of tidying your data first and then being streamlined with the tools you can use for science is amazing. So not starting the science too soon. I’ve been burned by this, and it means forever building bespoke approaches to accommodate weird data formatting. And knowing that tidying data takes a huge percentage of analysis time

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RMarkdown & Quarto: reimagine the way we work, share, think

Analyses and narrative together, rendered to reporting output of your choice.

Iteration & reproducibility

Communication: open, earlier

Our RMarkdown file renders to:

HTML!

Text

Code – R, Python,

SQL, bash...

Imagine never copy-pasting a graph into your doc again!!

Outputs as Word, PDF, but also HTML: Share a URL rather than attaching a file!

And that same URL will update rather than re-attaching a new version of the file 😍

rmarkdown.rstudio.com

Data science as an entryway to open publishing (Lowndes & Tierney 2020)

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NASA Openscapes: Supporting Open NASA Earth Science in the Cloud

https://nasa-openscapes.github.io

earthaccess Python library

Learning events, tutorials, lessons learned

Cheatsheets & guides

2i2c JupyterHub: Python, R, Matlab

“Openscapes has created a collaborative environment for DAAC staff to collectively support open science initiatives for NASA Earthdata users. We’ve developed awesome material to help Earthdata users. Perhaps just as important as what we’ve done however, are mindsets we’ve grown into along the way. It’s okay to share imperfect works in progress. We are better at dreaming and implementing the future together.”

– Cassandra Nickles NASA Physical Oceanography DAAC

Julie

The mentors are learning how to work in the Cloud together using a 2i2c JupyterHub, where they are supporting researchers to work there in Python, R, and Matlab. They are leading learning events using tutorials they created and reuse and iterate for different audiences and events for researchers and other NASA staff, They are also identifying user needs and developing where they see needs including the earthaccess python library; cheatsheets and guides. They describe how they are now working openly with each other across their silos, feel braver speaking up in other places, and that they are comfortable sharing imperfect work with each other and getting and receiving feedback.

2i2c

Work of the Mentor Community

How to grow it - working on real researchers in the science teams

Luis showing this real example of work the Mentor community has done

We are really grateful for our NASA Mentors, and to NASA who is supporting their time so that open science can be a paid part of their jobs.

We’re supporting Support Mentors towards establishing a common set of NASA Earthdata tutorials that they can then build off their DAAC-specific and science examples

Again, these recurring themes. Wanted to reuse existing so needed to identify what is unique to NASA earthdata and what’s not, tease that apart to reuse existing. Only contribute to combine and fill gaps rather than reinventing

We center researchers, and we focus on this feedback loop between tooling and people

---

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NASA Openscapes Mentors

NASA Award# 20-TWSC20-2-0003 Leads: Julia Stewart Lowndes & Erin Robinson

A mentor community across NASA Earth science data centers

Andy Barrett • Chris Battisto • Brandon Bottomley • Aaron Friesz • Alexis Hunzinger • Mahsa Jami • Alex Lewandowski • Bri Lind • Luis Lopez • Catalina Oaida Taglialatela • Celia Ou • Jack McNelis • Cassie Nickles • Brianna Pagán • Sargent Shriver • Amy Steiker • Michele Thornton • Makhan Virdi • Jess Welch

https://nasa-openscapes.github.io

Slow down to speed up: deep investment in small numbers 1st. Combine practices from many places - open source software dev, community, facilitation (incl. rOpenSci, Turing Way, Carpentries, Mozilla, ESIP)

Support researchers as they migrate analytical workflows to the Cloud:

Co-creating common tutorials; review & reuse process
Community of practice for teaching, mentoring, facilitation
Scaling open science leaders

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2021 Cloud Hackathon - teaching researchers early on

“It was a really great week. The tutorials were AMAZING. Everyone did a great job, and everyone was very nice. I really appreciated welcoming environment. I don't have a strong python background. But i was supported in learning all around”

Blog summaries:

earthdata.nasa.gov/learn/articles/2021-cloud-hackathon

podaac.jpl.nasa.gov/announcements/2021-12-15-The-2021-Cloud-Hackathon

Preparation:

9 co-created tutorials for data access

User-friendly book with Quarto

Notebook review, teaching dry runs

Shared facilitation & teaching practices

https://nasa-openscapes.github.io/2021-Cloud-Hackathon

On Day 1, Mentors stepping in to teach due to an emergency: trust + teamwork + familiarity with the material

The event:

65 2i2c JupyterHub AWS instances

50 forks of the GitHub repo

8 hack-team projects presented on Day 5

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Earthdata Cloud Cookbook: Identifying & responding to researcher needs

earthaccess Python library

Cookbook: current tutorials & onboarding

Cheatsheets & guides

2i2c JupyterHub: Python, R, Matlab,

corn base image: built on Pangeo stack

Value of Hosted JupyterHubs White paper / RFI

Reusing & extending tutorials w/ software & conceptual solutions

https://nasa-openscapes.github.io/earthdata-cloud-cookbook

The mentors are learning how to work in the Cloud together using a 2i2c JupyterHub, where they are supporting researchers to work there in Python, R, and Matlab. They are leading learning events using tutorials they created and reuse and iterate for different audiences and events for researchers and other NASA staff, They are also identifying user needs and developing where they see needs including the earthaccess python library; cheatsheets and guides. They describe how they are now working openly with each other across their silos, feel braver speaking up in other places, and that they are comfortable sharing imperfect work with each other and getting and receiving feedback.

Transition: this second example with NASA shows how by working with researchers we’re able to design new things to help more research. And Ileana will share another example of this.

2i2c

Work of the Mentor Community

How to grow it - working on real researchers in the science teams

Luis showing this real example of work the Mentor community has done

We are really grateful for our NASA Mentors, and to NASA who is supporting their time so that open science can be a paid part of their jobs.

We’re supporting Support Mentors towards establishing a common set of NASA Earthdata tutorials that they can then build off their DAAC-specific and science examples

Again, these recurring themes. Wanted to reuse existing so needed to identify what is unique to NASA earthdata and what’s not, tease that apart to reuse existing. Only contribute to combine and fill gaps rather than reinventing

We center researchers, and we focus on this feedback loop between tooling and people

---

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Because of Openscapes, I have renewed hope in how we can bring about a kinder future in science.

I see a commitment in the open science community to bridging the gaps where we’ve left members of our community behind, and it inspires me.

Ileana Fenwick

University of North Carolina, Openscapes

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A question turned collaboration

Two Questions dialogue long-term collaboration

To support historically excluded scientists in their journeys to data science
Connecting with similarly motivated individuals
Exposure to the incredible resources the open science community has to offer

I went from an outsider to a participant

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PATHWAYS TO OPEN SCIENCE

BUILDING COMMUNITY FOR THE FUTURE OF DATA INTENSIVE SCIENCE

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Of 704 NSF Principal Investigators in the biological sciences, surveyors found that data science skills are the largest unmet need in our training

We are uplifting our HBCU students to feel confident in their ability to use data science to do better research

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Learn more at https://openscapes.github.io/pathways-to-open-science/

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Challenging my views on how to engage

Exposure is not enough

Lead with:

Listening ear
Flexibility
Open mind

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Why wouldn’t I sign up for this?

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Why wouldn’t I sign up for this?

I don't know what open science is
This is just another opportunity in my inbox
I won’t see anyone who looks like me if I to attend this program

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Crack : I don't know what open science is

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Crack: I don't know what open science is

Pathway: You don’t have to!

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Crack: This is just another opportunity in my inbox

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Crack: This is just another opportunity in my inbox

Pathway: Faculty Award

1 hour meeting to est. data science needs
Share Pathways with students & encourage participation

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Crack: I won’t see anyone who looks like me if I to attend this program

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Crack: I won’t see anyone who looks like me if I to attend this program

Pathway: Collaboration & allyship

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Crack: I won’t see anyone who looks like me if I to attend this program

Pathway: Collaboration & allyship

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Crack: I won’t see anyone who looks like me if I to attend this program

Pathway: Collaboration & allyship

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How did it go?

Our first event in the series had over 80 participants from all over the US and internationally!

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Program Success

connected students to diverse researchers and data scientists
fostered information sharing amongst participants
built new connections
students are excited about learning new data science tools

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The future of open science is bright

Thank you

Our incredible planning team
Our collaborators BIMS and BWEEMS
Funding provided from the Code for Science and Society through the Chan Zuckerberg Initiative

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Movement building

What’s possible because all this

More time on science & solutions

It’s not just about time saved - it’s better products, less lost day-to-day & during succession

Improved morale

Help get unstuck, less lonely, staying in jobs. Real relationships. Institutional culture change.

Climate and social change

Connecting our biggest challenges with our daily work. Collective agency, voice, action

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Join and amplify the open movement

Open educational resources – for reuse/remix

Curriculum, code, slides, demos, art, onboarding

openscapes.org, openscapes.org/series, openscapes.org/approach-guide

openscapes.org/pathways-to-open-science, nasa-openscapes.github.io

Supercharge your research: a 10-week plan

Lowndes et al. 2019

Open science as a daily practice

Reuse not reinvent (practices, products)
“Learn together first” (higher morale, on/offboarding)
“Show not tell” (screensharing, art, stories)
Ask your colleagues how they are doing. Where are they stuck? Listen.
Listen, learn, borrow what works, reimagine

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Developing a kinder (data) science mindset

Mentorship is a skill we can all develop; let’s learn from & join existing efforts

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“Perfection is a colonial conditioning.

Worrying that you’re going to get it wrong holds you back from trying, and that erases.”

- Ta7talíya Michelle Nahanee, Nahanee Creative

Territorial Acknowledgements Interactive Workshop

Generosity

Empathy

Asking questions

Listening

Not solutioneering

Meeting folks where they are

Reflecting

Connecting values to daily actions

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Join us & reuse:

openscapes.org, openscapes.org/events, @openscapes (Twitter, Mastodon)

Upcoming events:

Champions Cohort for NASA Earthdata researchers
Reflections program

Thank you! @_ileanaf & @juliesquid on Twitter

More depth on everything at openscapes.org:

approach • blog • media

Thanks to the people who made this possible!

Not pictured: more people!

Diverse, inclusive teams and communities are key

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Further resources (incomplete list):

White Paper: The Value of Hosted JupyterHubs in enabling Open NASA Earth Science in the Cloud - Friesz, Robinson et al 2022
Openscapes Flywheel: A framework for managers to facilitate & scale inclusive Open science practices - Robinson & Lowndes 2022 (preprint, in review)
NASA-Openscapes.github.io - NASA Openscapes Mentors
Hello Quarto: share • collaborate • teach • reimagine - Lowndes &Çetinkaya-Rundel 2022 Keynote (video)
A Journey to Data Science: Tools for Equity and Diversity in STEM - Fenwick 2022 (video)
Open software means kinder science - Lowndes 2019
Supercharge your research: a ten-week plan for open data science - Lowndes et al. 2019
Our path to better science in less time using open data science tools - Lowndes et al. 2017
3 lessons from remote meetings we’re taking back to the office - Cabunoc Mayes et al. 2020
Toolkit for Incentivizing Open Science - National Academies (NASEM) Report; Openscapes blog post
All We Can Save - Johnson & Wilkinson 2020, eds
Braiding Sweetgrass - Kimmerer, 2013
From Open Data to Open Science - Ramachandran, Bugbee, & Murphy 2021
Unmet needs for analyzing biological big data - Barone et al. 2017
How to bring open source to a closed community - Cabunoc Mayes 2016

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Our agency is experiencing a number of pressures that affect agency science:

New risks (cascading effects of climate change) that affect the kind of science we do. This requires new analyses, new models, new type of data.
Flat budgets amidst rising operation costs and increasing costs.
A distributed and hybrid workforce
Retirements in the workforce are leading to loss of data and institutional knowledge.
Need for transparency to enhance public trust in agency science and decisions

NMFS Openscapes is a cross-center Open Science initiative with Openscapes to address these challenges and pressures (2-pager)

Why Openscapes at NOAA Fisheries?

“From an IT perspective, we have talked about culture, without knowing specifically what that means. Openscapes is an opportunity to do reproducible transparent science but also to establish collaborative best practices. To truly take steps to create a new culture, a new way of doing things.”

James Primrose

SEFSC, IT, Infrastructure

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NASA Openscapes

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We are a mentor community across

NASA Earth science data centers (DAACs)

We are co-creating and teaching common tutorials to support researchers as they migrate analytical workflows to the Cloud

https://nasa-openscapes.github.io

NASA Award# 20-TWSC20-2-0003 Leads: Julia Stewart Lowndes & Erin Robinson

Openscapes artwork by Allison Horst; @allison_horst

slides: https://nasa-openscapes.github.io/about

2i2c

Work of the Mentor Community

How to grow it - working on real researchers in the science teams

Luis showing this real example of work the Mentor community has done

We are really grateful for our NASA Mentors, and to NASA who is supporting their time so that open science can be a paid part of their jobs.

We’re supporting Support Mentors towards establishing a common set of NASA Earthdata tutorials that they can then build off their DAAC-specific and science examples

Again, these recurring themes. Wanted to reuse existing so needed to identify what is unique to NASA earthdata and what’s not, tease that apart to reuse existing. Only contribute to combine and fill gaps rather than reinventing

We center researchers, and we focus on this feedback loop between tooling and people

---

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“It was a really great week. The tutorials were AMAZING. Everyone did a great job, and everyone was very nice. I really appreciated welcoming environment. I don't have a strong python background. But i was supported in learning all around”

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Blog summaries:

earthdata.nasa.gov/learn/articles/2021-cloud-hackathon

podaac.jpl.nasa.gov/announcements/2021-12-15-The-2021-Cloud-Hackathon

65 2i2c JupyterHub AWS instances

50 forks of the GitHub repo

8 hack-team projects presented on Day 5

In-depth example: 2021 Cloud Hackathon

https://nasa-openscapes.github.io/2021-Cloud-Hackathon/

10+ talks & workshops led by Mentors, reusing tutorials & role-modeling Open Science + Cloud

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earthaccess: simplifying access

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https://nasa-openscapes.github.io

See it in action!! Analyzing Sea Level Rise Using Earth Data in the Cloud

earthaccess

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Continual learning

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“Perfection is a colonial conditioning.

Worrying that you’re going to get it wrong holds you back from trying, and that erases.”

- Ta7talíya Michelle Nahanee, Nahanee Creative

Territorial Acknowledgements Interactive Workshop

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Further resources (incomplete list):

Open software means kinder science - Lowndes 2019
Supercharge your research: a ten-week plan for open data science - Lowndes et al. 2019
Our path to better science in less time using open data science tools - Lowndes et al. 2017
3 lessons from remote meetings we’re taking back to the office - Cabunoc Mayes et al. 2020

Toolkit for Incentivizing Open Science - National Academies (NASEM) Report; Openscapes blog post
All We Can Save - Johnson & Wilkinson 2020, eds
Braiding Sweetgrass - Kimmerer, 2013
A Practical Guide to Mentoring Across Intersections - Harriot, 2020
Respectful Design: Models for Diversity, Inclusion, & Decolonization - Tunstall 2020
Unmet needs for analyzing biological big data - Barone et al. 2017
Barriers to integration of bioinformatics into undergrad life sci education - Williams et al. 2019
Skills and knowledge for data-intensive environmental research - Hampton et al. 2017
Data-intensive ecological research is catalyzed by open & team science - Cheruvelil & Soranno 2018
Open science is a behavior - Corker 2018
Career paths and prospects in academic data science - Geiger et al. 2018

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Learn more, listen, reflect, and act:

Schell et al (2020). Recreating Wakanda by promoting Black excellence in ecology and evolution https://www.nature.com/articles/s41559-020-1266-7

Carpenter (2020). Get it wrong for me: What I need from allies www.linkedin.com/pulse/get-wrong-me-what-i-need-from-allies-megan-carpenter

Harriot (2020)- A Practical Guide to Mentoring Across Intersections https://conversations.vanguardstem.com/a-practical-guide-to-mentoring-across-intersections-c596496ee334

Ariel (2017). For Our White Friends Desiring to Be Allies https://sojo.net/articles/our-white-friends-desiring-be-allies

Tunstall (2020). Dr. Dori Tunstall on Respectful Design: Models for Diversity, Inclusion, & Decolonization www.youtube.com/watch?v=oaesVb7O38s

Witze (2018). Sexual harassment is rife in the sciences, finds landmark US study www.nature.com/articles/d41586-018-05404-6

Johnson & Wilkerson (2020). All We Can Save. www.allwecansave.earth

Kimmerer (2013). Braiding Sweetgrass. https://milkweed.org/book/braiding-sweetgrass

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Researcher-centered, focused on teams.

Practice and feel safe working openly with yourself and your team; then ease into more.

Create space & place to explore & learn. Cohort Calls, Seaside Chats, Co-Working; GitHub, R, Python, Quarto, Google Drive, JupyterHub, Slack; Efficiency & Inclusion Tips.

Cultivate relationships & real connections.

Welcoming folks with diverse backgrounds; meeting where they are; skills to empower immediate work; kinder science.

Open culture: Learning, teaching, iterating.

Not a checklist - a continual practice; invest in trust, psychological safety, growth mindset; Imperfect, messy. Takes time. Role-modeling.

Openscapes approach

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https://openscapes.org/approach

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updated from Wickham & Grolemund

Feeling so empowered and seeing open data science as this incredibly powerful way to work.

Our pub has really resonated with a lot of people who have seen this this is possible and want to do it too

Transition: So this was all happening leading up to the publication of our 2017 BSILT paper.

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And it really parallels how I’ve thought about open data science, which I have been defining as the tooling and people enabling reproducible, transparent, inclusive practices for data analysis.

In this illustration here it is again teams and communities that ring this central part of the scientific process, and it’s data analysis that connects data and communication steps that bookend the scientific process.

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Introducing data science and as a collaborative effort has changed my work

This illustration is an update of the classic wickham illustration data -> communication, with the central part of of data to understanding being ringed by communities that ew

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Julie: And another part is helping teams see open science and data science as part of their daily workflow. This means recognizing and expecting that tooling and practices already exist and are available to them to make their analytical life more efficient, resilient, and also enjoyable.

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Programs:

Champions Program

Year 5, 17 cohorts, 160 teams

NASA Openscapes Framework

Year 3, 7 Data Centers

Mentors Community

Year 2, mentor-coach skills

Pathways to Open Science for Black marine & environmental scientists

Year 1, BIMS, BWEEMS, HBCU partners

Reflections

Year 1, upcoming May 2023!

Empower

Learning culture

Engage

A Future Us mindset

Amplify

Open leaders

Openscapes

Openscapes is a community and a movement transforming collaborative work places that enable climate solutions. We work teams in government, academia, and NGOs, including NASA, NOAA, California Water Boards, EPA

https://openscapes.org

@openscapes

Not your traditional training/workshop

Cohort-based remote sessions for teams: introduce concepts & workflows; facilitate teams to talk about problems then go & solve them, with support.
“It’s about getting stuff done. It’s about identifying & making progress on barriers” - Eli Holmes, NOAA