-
Notifications
You must be signed in to change notification settings - Fork 8
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
update to the about the cookbook text
- Loading branch information
Showing
1 changed file
with
20 additions
and
16 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,20 +1,24 @@ | ||
# About this Cookbook | ||
|
||
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. | ||
|
||
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. | ||
The IUPAC FAIR Chemistry Cookbook aims to provide a range of practical and re-usable training materials that demonstrate | ||
how to manage digital data files and content. The scope covers protocols that address machine-readable data pertaining | ||
to chemicals and techniques for working with data programmatically. Recipes are developed by active community members and | ||
target different tasks across a range of possible use cases for handling chemical data. Materials are presented with | ||
relevant chemistry examples, point to external content that are of high quality where available, and reference IUPAC | ||
and community digital standards where appropriate. | ||
|
||
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). | ||
FAIR data are findable, accessible, interoperable, and reusable for machine processing [Wil16]. 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. Students need to learn how to navigate the scale and range of data types and | ||
sources becoming available, extract meaning and insight from aggregations of data programmatically, and apply automated | ||
approaches to curation, dissemination, and analysis. 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 on | ||
FAIR and data standards. | ||
|
||
This community repository of interactive tutorials provides hands-on experience with a range of digital data sources, | ||
tools and workflows pertaining to automated chemical data processing. Digital notebooks with executable code blocks a | ||
llow users to engage directly with basic cheminformatics functions integral to working with machine-readable data. | ||
The cookbook platform can be readily accessed and used through broadly available online infrastructure and recipes are | ||
designed to exemplify the FAIR principles for reuse. |