BY-COVID D3.2: Implementation of cloud-based, high performance, scalable indexing system. Article Swipe
Henning Hermjakob
,
Mari Kleemola
,
Katja Moilanen
,
Markus Tuominen
,
Susanna‐Assunta Sansone
,
Allyson Lister
,
Romain David
,
Maria Panagiotopoulou
,
Christian Ohmann
,
Jeroen Belien
,
Julia Lischke
,
Nick Juty
,
Stian Soiland‐Reyes
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.7129553
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.7129553
BY-COVID Work Package 3 is focused on services for the discovery and integration of COVID-19 data by delivering a flexible, tiered metadata discovery system across different domains, metadata standards, and maturity/robustness levels of data sources. This will enable the linking of FAIR data and metadata on SARS-CoV-2 and COVID-19, on other related viruses and diseases, and on socio-economic consequences, across research fields, from omics, clinical, and epidemiological research, to social sciences and humanities. Building on the metadata format developed in D3.1, in a series of work package meetings and a workshop, with participation from all other work packages, we have developed tools (example Validator), workflows (Semi-automated transfer of resource metadata from FAIRsharing to Covid-19 portal), and documentation and training (Training: Discoverability hackathon) to support the efficient integration of additional resources from a broad range of domains into the COVID-19 Data Portal as well as improved the end user facing COVID-19 Data Portal itself (Global search). This work establishes the basis for the further development of the COVID-19 Data Portal metadata discovery, and provides a path for integration of metadata from multi-domain partners in BY-COVID, as well as our ISIDORe sibling project, and other relevant external resources. To ensure smooth integration of partner provided metadata, we anticipate re-running our “Discoverability hackathon” in the future and will continue to evolve our metadata format and presentation of the COVID-19 Data Portal. We anticipate significant development and metadata modelling work for the use-case driven support of complex data sources in close collaboration with WPs 2, 4 and 5.
Related Topics
Concepts
Search engine indexing
Scalability
Cloud computing
Computer science
Coronavirus disease 2019 (COVID-19)
Database
Information retrieval
Operating system
Medicine
Infectious disease (medical specialty)
Pathology
Disease
Metadata
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- Landing Page
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- OA Status
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- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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- DOI
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https://doi.org/10.5281/zenodo.7129553Digital Object Identifier
- Title
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BY-COVID D3.2: Implementation of cloud-based, high performance, scalable indexing system.Work title
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reportOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
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2022-09-30Full publication date if available
- Authors
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Henning Hermjakob, Mari Kleemola, Katja Moilanen, Markus Tuominen, Susanna‐Assunta Sansone, Allyson Lister, Romain David, Maria Panagiotopoulou, Christian Ohmann, Jeroen Belien, Julia Lischke, Nick Juty, Stian Soiland‐ReyesList of authors in order
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://doi.org/10.5281/zenodo.7129553Direct OA link when available
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Search engine indexing, Scalability, Cloud computing, Computer science, Coronavirus disease 2019 (COVID-19), Database, Information retrieval, Operating system, Medicine, Infectious disease (medical specialty), Pathology, DiseaseTop concepts (fields/topics) attached by OpenAlex
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