<h1 id="datasette"><a aria-hidden="true" class="anchor-heading icon-link" href="#datasette"></a>Datasette</h1>
<h1 id="resume"><a aria-hidden="true" class="anchor-heading icon-link" href="#resume"></a>Resume</h1>
<p>Datasette is a tool for exploring and publishing data. It helps people take data of any shape, analyze and explore it, and publish it as an interactive website and accompanying API.</p>
<p>Datasette is aimed at data journalists, museum curators, archivists, local governments, scientists, researchers and anyone else who has data that they wish to share with the world. It is part of a wider ecosystem of 46 tools and 142 plugins dedicated to making working with structured data as productive as possible.</p>
<p>Try a demo and explore 33,000 power plants around the world, then follow the tutorial or take a look at some other examples of Datasette in action.</p>
<p>Then read how to get started with Datasette, subscribe to the monthly-ish newsletter and consider signing up for office hours for an in-person conversation about the project.</p>
<p>New: Datasette Desktop - a macOS desktop application for easily running Datasette on your own computer!</p>
<h1 id="links"><a aria-hidden="true" class="anchor-heading icon-link" href="#links"></a>Links</h1>
<p><a href="https://datasette.io/">https://datasette.io/</a></p>
<p><a href="https://datasette.io/desktop">https://datasette.io/desktop</a></p>
<h1 id="tutorials"><a aria-hidden="true" class="anchor-heading icon-link" href="#tutorials"></a>tutorials</h1>
<p>Just followed <a href="https://datasette.io/tutorials/clean-data">https://datasette.io/tutorials/clean-data</a>
This is stunning !</p>
<hr>
<strong>Backlinks</strong>
<ul>
<li><a href="/commons-dws-public/notes/qd0nret1w82tdmoet1upt7a">2024-02-15</a></li>
</ul>

Datasette

Concrete steps to access and contribute to the DBGI Dendron


![](/assets/images/allard-lab.jpg)

Welcome the the COMMONS Lab Open Dendron !

In the [COMMONS Lab](https://www.unifr.ch/bio/en/groups/allard/) we intent to follow the [Open Notebook Science](https://en.wikipedia.org/wiki/Open-notebook_science) approach to document our research.

For this we use the [Dendron](https://www.dendron.so/) system as a mean to efficiently capture notes and publish them.

## What is this note

This note is a succinct tutorial note aiming to get you started in the use of the COMMONS Lab Dendron.

## Tutorial

### Dendron. 

#### What is Dendron ?

> Dendron is an open-source, local-first, markdown-based, note-taking tool. Think of it as a cache for everything that you care about - if you've spent more then five minutes solving a problem, you should never spent any more time solving the same exact problem.
> 
> Dendron is a knowledge base built by and for developers and integrates natively with IDEs like VS Code and VSCodium.

#### Where to get more info on Dendron ?

- You can get more information in the Dendron system at the official website www.dendron.so
- All the Dendron documentation is hosted here https://wiki.dendron.so/. It is, obviously, a Dendron itself.

#### Concrete steps to access and contribute to the DBGI Dendron

1. Install [VSCode](https://code.visualstudio.com/download)
2. Install [Dendron](https://marketplace.visualstudio.com/items?itemName=dendron.dendron) from the VSCode marketplace 
3. Clone the COMMONS Dendron repo

    In your terminal
    ```
    git clone https://github.com/commons-research/commons-dws-public.git
    ```
4. In VSCode open (File/Open) the cloned repository.
5. Voila ! You should now be in the COMMONS Lab Open Dendron.

Feel free to explore and contribute.
A first, important step could be to configure VSCode so that you can easily add a daily note. See steps described at [[open-notebook.commons.setup]]


## Questions, comments, suggestions ?

Feel free to contribute here https://github.com/orgs/commons-research/discussions

