## R

:::{profile} Richard J. Acton
---
roles: |
    Human Developmental Biology Initiative (HDBI) - Data Outputs Manager;
    Book Dash 2023 Participant
github: RichardJActon
orcid: 0000-0002-2574-9611
bio: |
    I am a biologist and bioinformatician by background with an interest in the biology of aging.
    I am an avocate of free/libre and open source software, privacy rights, open science, and reform both in academic publishing and 'intellectual property' law.
    In my spare time I enjoy speculative fiction.
highlights: |
    Meeting and conversing with community members in the collab cafes.
    My contributions to revising the chapter on licensing and adding a new subchapter on electronic lab notebooks.
more: |
    I take a particular interest in data provenance and reproducible computational analysis as components of wider reforms needed to the academic 'knowledge production' workflow and advocate for the increased use of literate programming tools, and linked data in the research publication workflow.
    My primary research interest was the biology of aging and longevity but after experiencing working in conventional academic roles was very unsatisfied with the way science is practiced and think my time is more usefully spent in roles where I can advocate for process reforms.
    I first learned to program in perl, but am now more proficient in R, I've been daily driving a Linux desktop for years now most recently NixOS.
---
:::

:::{profile} Precious Onyewuchi
---
roles: |
    Book Dash 2024 Participant
github: preshh0
orcid: 0009-0000-1386-0366
bio: |
    I am an open source manager with a background in community management, and technical writing. My current interests are in accessibility, usability, design, and security.
highlights: |
    My personal highlight was giving life to a topic that started from a friend of mine expressing grieviance concerning a design situation and how it affected her. It gave birth to issue #3930, and I got very great feedback to implement to make my topic better.
quote: |
    Something I learned recently from Anne Lee Steele who learned it from Liz Hare: "Nothing about us without us". It's origin, is from this wikipedia page: https://en.wikipedia.org/wiki/Nothing_about_us_without_us.
---
:::

:::{profile} Richie Moluno
---
roles: |
    Outreachy Intern 2022 (Open Science Saudi Arabia and The Turing Way Translation Infrastructure);
    Book Dash 2023 Participant
github: RealRichi3
bio: |
    I am a Software developer (Backend-heavy)
    I have a BEng in Mechanical Engineering from the University of Benin, Nigeria. I was an Outreachy 22/23 intern for [Open Science Saudi Arabia](https://github.com/Open-Science-Community-Saudi-Arabia), I interned as a backend developer where I collaborated with \@sandygudie to build the [Open innovation Lab](https://github.com/Open-Science-Community-Saudi-Arabia/MOOCs) MOOCs platform.
highlights: |
    The Turing Way isn't really my first experience with open source, but it has been a fantastic learning experience.
    I got to meet new interesting people from around the world, built a few connections, and learned about reproducible research. I also learnt more about localisation and translation with Crowdin
---
:::

:::{profile} Rosie Higman
---
roles: |
    Project Delivery Team Member (2019);
    Book Dash Participant/Helper (2019)
github: rosiehigman
orcid: 0000-0001-5329-7168
bio: |
    I am a Research Data Librarian at the University of Manchester, co-leading the research data management support service.
    My focus is on data sharing, training and encouraging researchers to engage in Open Research.
    My background is in the social sciences and I have recently started a PhD with the British Library and the University of Sheffield looking at Open Access and the role of the National Library.
more: |
    I am passionate about Supporting researchers! Making it as easy as possible for researchers to make their research reproducible and open, and for this to be easier than undertaking research in a closed manner.
    I try to help researchers make small improvements in making their research open, on the basis that some progress is better than none!
    Working in research data management I'm naturally concerned that data is not taken seriously as an independent research output and the reward system in academia is so heavily geared towards 'high impact' journal articles.
    As someone from a non-STEM background I'm also interested in how we can make reproducible research as accessible as possible. This will be the first project where I've worked directly in GitHub and I'm excited to get more confident in using it!
    I spend much of my time talking to researchers about the overarching principles of *why* reproducible and open research is a good idea and am excited by the idea of giving people practical guidance on *how* to do this.
    Messy code is frequently cited in these discussions as a reason for not sharing code so if we could produce something which helps people get past this barrier would be great.
    I hope that the Turing Way will be something we can also use at the University of Manchester and other Turing universities around the country!
---
:::

:::{profile} Rachael Ainsworth
---
roles: |
    Project Delivery Team Member, Community Manager (2019);
    Book Dash Organiser (2019)
github: rainsworth
orcid: 0000-0003-2591-9462
bio: |
    I am the Research Software Community Manager at the Software Sustainability Institute.
    Previously, I worked as a Research Associate and Open Science Champion at the Jodrell Bank Centre for Astrophysics at the University of Manchester.
    My research involved observing jets from young stars with next-generation radio telescopes to investigate the physical processes that assemble stars like our Sun, and am currently working to make data from the radio telescope facilities at Jodrell Bank more accessible to all.
    I am also a FOSTER certified Open Science Trainer, Mozilla Open Leader, and Organiser for the women in data meetup group HER+Data MCR.
highlights: |
    I have promoted *The Turing Way* through many presentations, notably at the Open Science Fair 2019 where I presented a poster and delivered 3 demonstrations of the project to attendees, one of which was recorded as part of the [ORION Open Science Podcast](https://orionopenscience.podbean.com/e/the-fair-is-in-town-figshare-the-turing-way-and-open-science-quest-at-the-osfair2019/).
    Through *The Turing Way* project I have gained valuable skills in open project management and met truly inspiring individuals working hard to promote openness and reproducibility in research.
more: |
    I am passionate about promoting openness, transparency, reproducibility, wellbeing and inclusion in STEM and facilitating cross-stakeholder conversations to change research culture for the better.
    I also love space exploration.
    *The Turing Way* goal of ensuring that reproducible data science is "too easy not to do" really resonates with me.
    I find that it can be difficult to get researchers to engage with reproducibility and sharing their research outputs because they perceive that it will take too much time and effort with very little reward - when the opposite is true!
    Ensuring results are reproducible not only benefits research as a whole and increases efficiency but working this way also offers researchers more opportunities for impact and collaboration.
---
:::

:::{profile} Rachael Stickland
---
roles: |
    Book Dash Participant (2022)
github: RayStick
orcid: 0000-0003-3398-4272
bio: |
    I am a Data Wrangler based at The Alan Turing Institute. See my profile [here](https://www.turing.ac.uk/people/researchers/rachael-stickland) for more information.
highlights: |
    Joining the Nov 2022 BookDash was a real pleasure - I met lots of great people with brilliant ideas, and I enjoyed learning more about _The Turing Way_.
    I am new to this community but felt welcomed and included.
    Working with the Scriberia artist on visualising the 'Data Wrangler' job role was a really interesting and useful experience, and it encouraged our wider team, based at The Alan Turing Institute, to reflect on our roles as Data Wranglers and how to explain this role to others.
    My contribution to the book was working with my colleague Mahwish Mohammad on adding a sub-chapter 'Data Wranglers' to the [Research Infrastructure Roles](https://book.the-turing-way.org/collaboration/research-infrastructure-roles.html) section, and starting (or joining) discussions with others in this community about Research Infrastructure Roles in general.
    I hope more collaborations will come out of these discussions, specifically content added to the book which compares and contrasts different Research Infrastructure Roles, and reflects on how to decide which role(s) would be needed for a specific research project.
---
:::

:::{profile} Reshama Shaikh
---
roles: |
    Book Dash Participant (2021)
github: reshamas
orcid: 0000-0003-4162-4453
bio: |
    Reshama Shaikh is the Executive Director of [Data Umbrella](https://www.dataumbrella.org). She is also on the Triage Team for [scikit-learn](https://github.com/scikit-learn/scikit-learn) and an organizer for [NYC PyLadies](https://www.meetup.com/NYC-PyLadies/).
    Reshama is a statistician/data scientist with skills in Python, R and SAS. She earned her M.S. in statistics from Rutgers University.  She earned her M.B.A. from NYU Stern School of Business where she studied strategy, business analytics and technology management.
highlights: |
    Reshama participated in The Turing Way Book Dash and collaborated to discuss plans and draft for a chapter on research impact in data science, with a case study from training events that she organises through Data Umbrella.
---
:::