Open science, research, access, data, etc.: Difference between revisions
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FAIR (Findable, Accessible, Interoperable and Re-usable) is a (minimal, community-agreed) set of principles and practices that make data not only open in the sense that it's out there, but also make it easy to find, and use. | FAIR (Findable, Accessible, Interoperable and Re-usable) is a (minimal, community-agreed) set of principles and practices that make data not only open in the sense that it's out there, but also make it easy to find, and use. | ||
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It could be purely about metadata, | |||
but is also easily about the contained data so crosses into [[open access]] details. | but is also easily about the contained data so crosses into [[open access]] details. | ||
It depends a bit on the type of repositories we're talking about, and the kind of organization behind it. | |||
Revision as of 01:13, 27 August 2023
✎ This article/section is a stub — some half-sorted notes, not necessarily checked, not necessarily correct. Feel free to ignore, or tell me about it.
Open Science
Open Access
Open Data
https://en.wikipedia.org/wiki/Open_data
Open Research
Open-notebook science
Principles and ideas
FAIR
✎ This article/section is a stub — some half-sorted notes, not necessarily checked, not necessarily correct. Feel free to ignore, or tell me about it.
FAIR (Findable, Accessible, Interoperable and Re-usable) is a (minimal, community-agreed) set of principles and practices that make data not only open in the sense that it's out there, but also make it easy to find, and use.
Relatedly
Open practices
Organisations an initiatives
COAR
IOI
DOAJ
Directory of Open Access Journals
OJS
PKP's Open Journal Systems is software that basically helps you set up an open access journal of your own.
Services and implementations
CORE
Aggregator of open access research papers from repositories and journals.
Aimed at stakeholders like researchers, the public, academic institutions, developers, funders, companies
- APIs
- Dataset download