Topics to add and to leave out(?)
submitted by
over 3 years ago
Cover the main open science topics which are important to annotation of tools and learning materials, e.g. preregistration, citizen(-led) science, ....
Please add more 👍🏽
On the other hand: What topics are ones to leave out (not crucial for tools/workflows/learning/data)? I suppose it's a matter of drawing a line which might not be doable in a clear & good way :/ Provocations for further discussions: e.g. inclusion? Participation? Soci(et)al engagement? ...
"R-words": reliability, reproducibity, replicability, reuse(ability), robustness; and transparency, generalisability?
https://the-turing-way.netlify.app/reproducible-research/overview/overview-definitions.html
terms: reproducible, replicable, robust, generalisable (research)
concept: reproducible science?
generalisability = transferability (?)
research integrity?
hasRelatedSynonym Transpare research!
+ Research traceability & co (not just lab notebooks, but also full research trace like in Jen Rogers' tRRRace)
+ Social imbalance/Low- & middle-income countries/...
+ separata but at some corssing related Science popularisation/dissemination/... & Public engagement (partially related with Citizen(-led) science)