fix typos

Author: Sven Twardziok

.gitignore

@@ -2,3 +2,4 @@ site/
 _site/
 .venv
 .notes
+.codespell*

docs/contribute/index.md

@@ -61,15 +61,15 @@ We offer you
   experts with diverse technical and cultural backgrounds
 - the opportunity to tackle modern, highly relevant technical challenges on the
   way to personalized medicine and genome-scale analytics in the cloud
-- support, feedback and appreciation for your work, as well as involvment in
+- support, feedback and appreciation for your work, as well as involvement in
   and influence on policy decisions proportional to the level of your
   engagement
 - networking opportunities within the [ELIXIR][elixir] and [GA4GH][ga4gh]
   communities, with many opinion leaders in academia and the tech industry
 
 !!! note "Regular contributors"
 
-    Check out the additional [exiciting opportunities](#opportunities) for
+  Check out the additional [exciting opportunities](#opportunities) for
     regular contributors!
 
 ## Our expectations

docs/contribute/language-specific/python.md

@@ -6,7 +6,7 @@ section.
 ## Python version
 
 For any _new_ projects, please use one of the two most recent [Python minor
-versions][py-downloads], exclusing pre-releases. For existing projects, use the
+versions][py-downloads], excluding pre-releases. For existing projects, use the
 Python version used throughout the project (mentioned in `pyproject.toml`).
 
 ## Packaging, build system & dependencies

docs/tutorials/sensitive_data_analysis.md

@@ -44,7 +44,7 @@ The deployment of WESkit involves the following steps:
 
 1. **Install WESkit:** Simple deployment [using Docker](https://gitlab.com/one-touch-pipeline/weskit/documentation/-/blob/master/admin/README.md).
 2. **Set up compute environment:** WESkit must be configured according to the [compute environment](https://gitlab.com/one-touch-pipeline/weskit/documentation/-/blob/master/admin/executor.md).
-3. **Provide workflows:** In this scenario, a data controller has to validate and provide every workflow on the compute evironment. Only then they are available for the researchers. WESkit provides instructions for [workflow installation](https://gitlab.com/one-touch-pipeline/weskit/documentation/-/blob/master/admin/workflow-installation.md). Workflows are Snakemake or Nextflow scripts, along with all dependencies and additional data. 
+3. **Provide workflows:** In this scenario, a data controller has to validate and provide every workflow on the compute environment. Only then they are available for the researchers. WESkit provides instructions for [workflow installation](https://gitlab.com/one-touch-pipeline/weskit/documentation/-/blob/master/admin/workflow-installation.md). Workflows are Snakemake or Nextflow scripts, along with all dependencies and additional data. 
 4. **Configure workflow engine:** Define workflow [engine parameters](https://gitlab.com/one-touch-pipeline/weskit/documentation/-/blob/master/admin/executor.md).
 5. **Provide data:** The workflows are executed on sensitive data within the compute environment. Therefore, the data should be available in the file system of the compute environment (e.g. Slurm).
 6. **Publish web service:** We assume that the service will be available online. This requires configuration on the provider side.