index.qmd

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# Welcome to the Health Data Science Sandbox {.centered}

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### Access our training modules
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[![HPC Lab](../images/HPC.png){class="hover-target" width="100%"}](https://hds-sandbox.github.io/modules/#sandbox-hpc)
**<span style="display: block; margin-top:15px; text-align: center; font-size: 1.2em;">HPC Lab</span>**

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    HPC launch
    HPC pipes
    GenomeDK workshops
    Research Data Management
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[![](../images/genomics2.png){class="hover-target" width="100%"}](https://hds-sandbox.github.io/modules/#genomics)
**<span style="display: block; margin-top:15px; text-align: center; font-size: 1.2em;">Genomics</span>**

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    NGS data analysis 
    Population Genomics
    GWAS
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[![](../images/transcriptomics.png){class="hover-target" width="100%"}](https://hds-sandbox.github.io/modules/#transcriptomics)
**<span style="display: block; margin-top:15px; text-align: center; font-size: 1.2em;">Transcriptomics</span>**

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    Bulk RNAseq
    Single-cell RNAseq
    Advanced single-cell
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[![](../images/proteomics.png){class="hover-target" width="100%"}](https://hds-sandbox.github.io/modules/#proteomics)
**<span style="display: block; margin-top:15px; text-align: center; font-size: 1.2em;">Proteomics</span>**

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    Clinical Proteomics
    ColabFold 
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[![](../images/EHRs.png){class="hover-target" width="100%"}](https://hds-sandbox.github.io/modules/##EHC)
**<span style="display: block; margin-top:15px; text-align: center; font-size: 1.2em;">Health records</span>**
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    Synthetic data 
    Personalized Medicine 
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### We are a collaborative project with team members spanning five Danish universities
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The Health Data Science Sandbox is a national project coordinated by the [Center for Health Data Science](https://heads.ku.dk/) at the University of Copenhagen. We're working with a network of health data science experts to build training resources on academic supercomputers for students and researchers in Denmark. Our Sandbox contains [training modules](modules/index.qmd) that pair topical datasets with recommended analysis tools, pipelines, and learning materials/tutorials in a portable, containerized format.

![](images/Sandbox_workflow_ai_horizontal2w-01.png){fig-align="center"}

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### To get involved as a trainee, researcher, or educator in Denmark:

**TRAINEES**: [join](news.qmd) our next scheduled workshop or a supported university course  

**TRAINEES/RESEARCHERS**: explore [training modules](modules/index.qmd) independently on UCloud

**RESEARCHERS**: adapt [training modules](modules/index.qmd) or [code repositories](https://github.com/hds-sandbox) to your research

**EDUCATORS**: [host](access/index.qmd) a training event or course in the Sandbox with our support

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&nbsp;

:::{.callout-note title="A note on Sandbox data policy"}
The Sandbox aims to be a resource for learning new analysis approaches and tools for health data science on useful, interesting, and safe-to-share datasets. All person-specific datasets in the Sandbox are non-sensitive and GDPR-safe because they are 1) sourced from public databases, 2) fully anonymous/non-sensitive from a GDPR perspective, and/or 3) synthetic. To learn more, check out [Datasets](https://hds-sandbox.github.io/datasets/datapolicy.html) where we explain our data policy in detail and our approach to synthetic data generation.
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**Thanks to the Novo Nordisk Foundation for funding the National Health Data Science Project! Please give credit if you use our open-source materials in any form (NNF grant number NNF20OC0063268).** 

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