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Sci2sci: Difference between revisions
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{ | At sci2sci, we are building an electronic lab notebook and a publishing platform in one interface. This will allow to store all experimental data and metadata in one place, and quickly release it in public access with one click. | ||
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| | In a nutshell, we offer full stack data publishing - from the experiment planning through raw data acquisition and analysis to the final research report - all in a single platform, with a number of benefits that cannot be offered by a current journal pdf manuscript: | ||
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!PDF journal publication: | |||
!sci2sci publishing: | |||
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|Data is not standardized, so it’s hard to analyze, reproduce and compare | |||
|Standardization and interoperability of the data due to pre-made experimental templates | |||
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|Text and images are not AI-native: parsing and knowledge extraction are difficult | |||
|ML-ready design of research papers | |||
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|Static figures and graphs | |||
|Dynamic and interactive tools for data visualization | |||
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|No chance of statistical reanalysis | |||
|Possibility for reanalysis as the “source code” of the experiments is always available | |||
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|Pre-publication peer review takes 90 days on average; | |||
Only 2-3 experts participate in review; | |||
Updates to the study after publishing are almost impossible | |||
|Open source-like collaboration flow | |||
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|Contribution tracking is as obscure as this description of it | |||
|Digital CVs for researchers showcasing their expertise | |||
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|It takes days to prepare and publish data | |||
|One-click data sharing | |||
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|Data reuse is not possible | |||
|Data reuse is encouraged | |||
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We aim at creating software that will make principles of FAIR (Findable, Accessible, Interoperable, Reusable) data a default in scientists’ daily routine. Our mission is to make research data openly available for reuse and collaboration by academic researchers, the industry and the public. | |||
Our larger vision and inspiration is described in this [https://medium.com/@leery.rowdy/notes-on-web3-science-from-analogue-to-ai-powered-digital-science-85aef529f2a article]. | |||