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4 changes: 4 additions & 0 deletions book/_toc.yml
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chapters:
- file: about_project
title: About this project
sections:
- file: contributors
- file: development
- file: worldfair
- file: glossary
- file: bibliography
58 changes: 16 additions & 42 deletions book/about_cookbook.md
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# About this Cookbook

This resource was initially formulated as an output of the [IUPAC WorldFAIR Chemistry project](https://iupac.org/project/2022-028-1-024/), for the
[WorldFAIR initiative](https://worldfair-project.eu/) (see below). The IUPAC FAIR Chemistry Cookbook is intended to support the broader
community in understanding how to work with machine-readable chemical data and implement the FAIR data principles.
The site is designed to be a living community resource through the addition of new content as strategies evolve
and the sharing and reuse of FAIR chemical data continues to increase. Feedback and contributions are welcome.
The IUPAC FAIR Chemistry Cookbook is intended to be an open, collaborative, community focused resource on working with
FAIR data in chemistry. This community resource aims to provide a range of practical and re-usable training materials
that demonstrate how to manage digital data files and content. Our goal is to get more practical tools & tips in the
hands of practicing chemists and others working with digital chemical data, to lower barriers and smooth the adoption
of best practices for sharing and reusing FAIR chemical data. The content primarily consists of actionable recipes
for a range of tasks to prepare and deposit FAIR machine-enabled chemical data, identify and extract chemically
relevant metadata, and compile and validate chemical data files using online tools.

## Project contributors
FAIR data are findable, accessible, interoperable, and reusable for machine processing {cite:p}Wilkinson2016.
FAIR chemical data need to be machine-readable, and this can be an unfamiliar scenario for many researchers and
other stakeholders involved with publishing and managing experimental data. This cookbook aims to support best
practices for sharing and reusing chemical data aligned with the technical criteria for FAIR machine-readable
data. Practical, interactive tutorials based on common workflows and readily accessible online tools for
working with digital content augment broader guidance.

- Stuart Chalk (Project Lead), University of North Florida
- Ann-Christin Andres, Johannes Gutenberg University Mainz
- Simon Coles, University of Southampton
- Jordi Cuadros, IQS Universitat Ramon Llull
- Sonja Herres-Pawlis, RWTH Aachen University
- John Jolliffe, Johannes Gutenberg University Mainz
- Sunghwan Kim, National Center for Biotechnology Information, National Institutes of Health
- Nicola Knight, University of Southampton
- Ken Kroenlein, Citrine Informatics
- Ye Li, Massachusetts Institute of Technology
- Leah McEwen, Cornell University
- Samuel Munday, University of Southampton
- Fatima Mustafa, Texas A&M San Antonio
- Vincent F. Scalfani, University of Alabama

## Cookbook development

This Cookbook is created online with Jupyter Book. Content is generated locally and managed through a GitHub repository.
This infrastructure enables the following requirements at the content creation level:
- Open and FAIR development and deployment
- Support for a diverse set of user personas
- Agile development and adaptation to user needs
- Community engagement for long term stability
- Documentation at user, contributor and administrator levels

## WorldFAIR Chemistry

The Committee on Data of the International Science Council ([CODATA](https://codata.org/)) and the Research Data
Alliance ([RDA](https://rd-alliance.org/)) launched the [WorldFAIR Initiative](https://worldfair-project.eu/) in
2022 to advance implementation of the [FAIR data principles](https://force11.org/info/the-fair-data-principles/)
within and across research domains. The International Union of Pure and Applied Chemistry ([IUPAC](https://iupac.org/)),
known as the world authority on chemical nomenclature, terminology, and standardized methods of measurement hosts
the WorldFAIR Chemistry project in a concerted effort to support broader data sharing of chemical data through
collaboration with related disciplines and data science communities. The goal of
[WorldFAIR Chemistry](https://iupac.org/project/2022-012-1-024) is to support the use of chemical data standards in
research workflows to enable downstream data reuse through practical direction and resources.
The IUPAC FAIR Chemistry Cookbook is designed to be an evolving resource for the chemistry community. It is
supported by the International Union of Pure and Applied Chemistry (IUPAC) as part of the
WorldFAIR Initiative (see About this project).
32 changes: 1 addition & 31 deletions book/about_project.md
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# About the IUPAC FAIR Chemistry Cookbook Project

This resources was initially formulated as an output of the
This resource was initially formulated as an output of the
[WorldFAIR D3.2 project](https://iupac.org/project/2022-028-1-024/) for the
[WorldFAIR initiative](https://worldfair-project.eu/) (see below). The IUPAC FAIR Chemistry Cookbook is intended to support
the broader community in understanding how to work with machine-readable chemical data and implement the FAIR data
principles. The site is designed to be a living community resource through the addition of new content as strategies evolve
and the sharing and reuse of FAIR chemical data continues to increase.
[Feedback](https://iupac.github.io/WFChemCookbook/feedback.html) and
[contributions](https://iupac.github.io/WFChemCookbook/contributions.html) are welcome!

## Project Contributors
- Stuart Chalk (Project Lead), University of North Florida
- Ann-Christin Andres, Johannes Gutenberg University Mainz
- Simon Coles, University of Southampton
- Jordi Cuadros, IQS Universitat Ramon Llull
- Sonja Herres-Pawlis, RWTH Aachen University
- John Jolliffe, Johannes Gutenberg University Mainz
- Sunghwan Kim, National Center for Biotechnology Information, National Institutes of Health
- Nicola Knight, University of Southampton
- Ken Kroenlein, Citrine Informatics
- Ye Li, Massachusetts Institute of Technology
- Leah McEwen, Cornell University
- Samuel Munday, University of Southampton
- Fatima Mustafa, Texas A&M San Antonio
- Vincent F. Scalfani, University of Alabama

## WordFAIR Chemistry
The Committee on Data of the International Science Council ([CODATA](https://codata.org/)) and the Research Data
Alliance (RDA) launched the [WorldFAIR Initiative](https://worldfair-project.eu/) in 2022 to advance
implementation of the [FAIR data principles](https://force11.org/info/the-fair-data-principles/) within and across
research domains. The International Union of Pure and Applied Chemistry ([IUPAC](https://iupac.org/)), known as the
world authority on chemical nomenclature, terminology, and standardized methods of measurement, hosts the
WorldFAIR Chemistry project to support broader data sharing of chemical data through collaboration with related disciplines
and data science communities. The goal of [WorldFAIR Chemistry](https://iupac.org/project/2022-012-1-024) is to support the
use of chemical data standards in research workflows to enable downstream data reuse through practical direction and
resources.

*WorldFAIR “Global cooperation on FAIR data policy and practice” is funded by the EC HORIZON-WIDERA-2021-ERA-01-41
Coordination and Support Action under Grant Agreement No. 101058393.*
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# Project Contributors
- Stuart Chalk (Project Lead), University of North Florida
- Ann-Christin Andres, Johannes Gutenberg University Mainz
- Simon Coles, University of Southampton
- Jordi Cuadros, IQS Universitat Ramon Llull
- Sonja Herres-Pawlis, RWTH Aachen University
- John Jolliffe, Johannes Gutenberg University Mainz
- Sunghwan Kim, National Center for Biotechnology Information, National Institutes of Health
- Nicola Knight, University of Southampton
- Ken Kroenlein, Citrine Informatics
- Ye Li, Massachusetts Institute of Technology
- Leah McEwen, Cornell University
- Samuel Munday, University of Southampton
- Fatima Mustafa, Texas A&M San Antonio
- Vincent F. Scalfani, University of Alabama
9 changes: 9 additions & 0 deletions book/development.md
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# Cookbook development

This Cookbook is created online with Jupyter Book. Content is generated locally and managed through a GitHub repository.
This infrastructure enables the following requirements at the content creation level:
- Open and FAIR development and deployment
- Support for a diverse set of user personas
- Agile development and adaptation to user needs
- Community engagement for long term stability
- Documentation at user, contributor and administrator levels
11 changes: 11 additions & 0 deletions book/worldfair.md
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# WordFAIR Chemistry

The Committee on Data of the International Science Council ([CODATA](https://codata.org/)) and the Research Data
Alliance (RDA) launched the [WorldFAIR Initiative](https://worldfair-project.eu/) in 2022 to advance
implementation of the [FAIR data principles](https://force11.org/info/the-fair-data-principles/) within and across
research domains. The International Union of Pure and Applied Chemistry ([IUPAC](https://iupac.org/)), known as the
world authority on chemical nomenclature, terminology, and standardized methods of measurement, hosts the
WorldFAIR Chemistry project to support broader data sharing of chemical data through collaboration with related disciplines
and data science communities. The goal of [WorldFAIR Chemistry](https://iupac.org/project/2022-012-1-024) is to support the
use of chemical data standards in research workflows to enable downstream data reuse through practical direction and
resources.

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