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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). |
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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 |
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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 |
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Original file line number | Diff line number | Diff line change |
---|---|---|
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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. |