FAIRsharing as a community approach to standards, repositories and policies

[wavingtowaves]

Title: Include the manuscript's title

Study Link: https://www.nature.com/articles/s41587-019-0080-8
Citation: @doi:10.1038/s41587-019-0080-8

Suggested keywords that help identify the relevance of this paper to Ecology and Evolution:

• data standards
• Misc github
• informatics

Which areas of expertise are particularly relevant to the paper?

• ecology and/or evolution;
• biostatistics;
• informatics and computational research;
• open science and reproducibility

Summary

community-developed data standards are an essential component to having reproducible and reusable data.
There are now thousands of standards available (across all disciplines).
They describe the data standard development life cycle: formulation, development, maintenance.
fairsharing.org has over 1,293 data standards.
Navigating through thousands of standards is daunting task.
Some of the most frequently implemented standards, are rarely recommended by journals

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• What is the general main finding or takeaway of the paper?
• What did they analyze and how did they do it?
• What does this paper suggest to improve the issue with reproducibility in science?
• Do you have any concerns about methodology or the interpretation of these results beyond this analysis?

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