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# Using the Cookbook | ||
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The IUPAC FAIR Chemistry Cookbook is intended to be an open, collaborative, community focused resource on working with | ||
FAIR data in chemistry. FAIR data are findable, accessible, interoperable, and reusable for machine processing | ||
{cite:p}`Wilkinson2016`, the new paradigm for reporting research data. This cookbook aims to support best practices | ||
using chemical data standards through practical, interactive tutorials, provided by the International Union of Pure | ||
and Applied Chemistry (IUPAC) through the EU funded WorldFAIR project | ||
(see [About this project](https://iupac.github.io/WFChemCookbook/about.html)). | ||
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## Recipes | ||
- Many of the recipes on this site will take advantage of Juypter Notebooks to run Python code | ||
in the browser for an interactive (and educational) feel for the user. | ||
- We have tried to provide useful information about each recipe in the collapsable 'header' | ||
that is below the title of the recipe. We are hoping this provides users with some sense | ||
of the how, what and when a recipe might be useful. | ||
- As part of the header we have included bullets for skills and learning objectives but have also | ||
thought to add use cases. If you have any ideas about how we should characterize recipes we would love to | ||
hear them! | ||
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## Contributing to the Cookbook | ||
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We welcome feedback & suggestions for additional content. For ways to do this go to our [feedback page](feedback.md)! | ||
# Welcome to the IUPAC FAIR Chemistry Cookbook | ||
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Welcome to the IUPAC FAIR Chemistry Cookbook, a self-serve web-based toolbox of interactive demonstrations of | ||
community best practices in machine-readable chemical data management. The Cookbook is an openly accessible | ||
collaborative resource supported by IUPAC to exemplify the FAIR principles and standards in cheminformatics | ||
and provide hands-on executable content for experiential learning. |
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