SciLake - Empowering Scientific Data Discovery Services
SciLake offers a two-tier service providing an open, transparent, and customizable scientific data-lake-as-a-service, along with AI-assisted discovery services tailored for specific disciplines. The platform aims to address heterogeneity in scholarly content, democratize scholarly content creation, and facilitate reproducibility assessment. The consortium includes multiple countries, and the architecture includes smart services and pilot projects in various research fields. The project relates to EOSC action areas and seeks collaborations in the scientific community.
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Presentation Transcript
In a nutshell SciLake will offer a two-tier service: Tier 1: An open, transparent & customizable scientific data-lake-as-a-service Empowers & facilitates the creation, interlinking & maintenance of community-created SKGs. Offers a unified way to access & query the contained assets. Tier 2: Discipline-tailored, AI-assisted discovery services to facilitate navigating the respective vast knowledge space considering: the impact of research objects their reproducibility Customise, test & demonstrate the developed services in real-world pilots. Leverage & further enrich the EOSC services landscape.
Important objectives Overcome the underlying heterogeneity of scholar content Address domain-specific & cross-domain needs Democratise scholarly content facilitating: content acquisition creation, interlinking, management of community-based SKGs. Facilitate the identification of emerging research trends & valuable research objects Facilitate the assessment of the reproducibility of research works.
Consortium & basic info Budget: ~5M Start date: 1/1/23 Duration: 36M coordinator Greece Poland Spain The Netherlands Italy Germany Norway Switzerland Sweden
Architecture Tier 2: Smart services smart reproducibility assistance service smart impact-based discovery service Pilot 1: Neuroscience research object link re- commentation research object recogni- tion in text trend identification FoS extraction Pilot 2: Cancer re- search multi-perspective im- pact analysis citation context assisted reprod. assessment impact propagation article segmentation Pilot 3: Transporta- tion research data catalogue KG creator text miner text fetcher query engine Tier 1: Scientific Lake SKG interoperability layer Pilot 4: Energy re- search databases scientific texts SKGs
Relation to EOSC SRIA More relevant action areas: - Metadata & Ontologies - EOSC Interoperability Framework
Collaborations To investigate: First contact with:
Thank you! https://scilake.eu/ @SciLake_project vergoulis@athenarc.gr
