diff --git a/img/elana.jpg b/img/elana.jpg new file mode 100644 index 0000000..11177c9 Binary files /dev/null and b/img/elana.jpg differ diff --git a/img/siobhan.jpg b/img/siobhan.jpg new file mode 100644 index 0000000..e0c1576 Binary files /dev/null and b/img/siobhan.jpg differ diff --git a/programs/openscapes.qmd b/programs/openscapes.qmd index d09041c..cf68c70 100644 --- a/programs/openscapes.qmd +++ b/programs/openscapes.qmd @@ -68,18 +68,48 @@ The [fall 2023 Champions Cohort](https://openscapes.github.io/2023-fred-hutch/) ::: columns ::: {.column width="30%"} -![](../img/team/sitapriya-moorthi.jpg) +![](../img/team/sitapriya-moorthi.jpg){width=300} ::: ::: {.column width="70%"} -Openscapes was a fantastic introduction to what doing open science truly means. It provides practical skills on how to implement open science effectively and shows how collaborative coding helps you conduct better, more impactful research. +> "Openscapes was a fantastic introduction to what doing open science truly means. It provides practical skills on how to implement open science effectively and shows how collaborative coding helps you conduct better, more impactful research." -- Sitapriya Moorthi, Staff Scientist, Berger Lab ::: ::: +::: columns +::: {.column width="30%"} + +![](../img/elana.jpg){width=300} +::: +::: {.column width="70%"} +> “Openscapes has helped me to implement better daily practices for reproducibility; for example, I now use a standardized README template for any new sequencing project that includes all relevant information for publication.” + +-- Elana Thieme, PhD Candidate, Setty + Lee Labs +::: +::: + +::: columns +::: {.column width="30%"} +::: + +::: {.column width="70%"} +> "[The] Openscapes program has helped us establish practices for reproducibility and sharability for the projects in our lab." +-- Manu Setty, PI, Setty Lab +::: +::: +::: columns +::: {.column width="30%"} +![](../img/siobhan.jpg){width=300} +::: +::: {.column width="70%"} +> "Participating in Openscapes was the first time I was part of a group actively discussing and thinking about collaborative coding, most of my experience in code driven data analysis has been on my own, with the support of online resources, not colleagues! It was great to be a part of such a welcoming group at all levels, and be able to share experiences and develop systems in our lab, and foster a culture of sharing work in all stages of development." +-- Siobhan O'Brien, Postdoctoral Researcher, Berger Lab +::: +::: \ No newline at end of file diff --git a/training.qmd b/training.qmd index 7c848e4..334ee23 100644 --- a/training.qmd +++ b/training.qmd @@ -5,18 +5,21 @@ toc: true Our group offers various types of data oriented support to the Fred Hutch data community. We aim to foster a vibrant data science community at Fred Hutch, promoting democratized access to expertise, collaboration, and mentorship. We encourage a culture of transparency, collaboration, open documentation, and sharing to maximize resources and ensure stakeholders can effectively use the provided resources. By investing in comprehensive training programs, they equip researchers with the necessary skills to navigate complex data landscapes. Offering in-person and online courses, workshops, and documentation, the team empowers the Fred Hutch community with essential data science skills to drive impactful advancements in healthcare. +Our collaborative data science training group creates a variety of data science training resources including live classes at Fred Hutch, trainer-lead learning communities and online resources. - -Our collaborative data science training group creates a variety of data science training resources including live classes at Fred Hutch, trainer-lead learning communities and online resources. You can find links to our [training resources on our Training page.](https://hutchdatascience.org/training/) - +There is information about our courses, workshops, and learning community sessions there. ## Community-Based Training -Training at the Data Science Lab consists of more than courses and workshops. We learn best when we learn with others, so we provide social opportunities to learn together. There are opportunities to Learn Skills through courses, to Experience skills in Learning Communities, and to practice our skills together with codeathons. +Training at the Data Science Lab consists of more than courses and workshops. We learn best when we learn with others, so we provide social opportunities to learn together. There are opportunities to learn skills through courses, to experience skills in Learning Communities, and to practice our skills together with codeathons. -Please note that all courses, workshops, and learning community sessions adhere to our event [participation guidelines](pages/participation.qmd). +You can find links to our [training resources on Hutchdatascience.org.](https://hutchdatascience.org/) +::: {.callout-important} +Please note that you may have to disable your VPN if you are on the clinical network to see the community page. +::: +Please note that all courses, workshops, and learning community sessions adhere to our event [participation guidelines](pages/participation.qmd). ## Self Directed Training @@ -24,5 +27,3 @@ We also offer self directed material in the form of guides and documentation for - -