Improving COVID-19 metadata findability and interoperability in the European Open Science Cloud Article Swipe
Christian Ohmann
,
Steve Canham
,
Kurt Majcen
,
Petr Holub
,
Gary Saunders
,
Jing Tang
,
Tanushree Tunstall
,
Philip Gribbon
,
Reagon Karki
,
Mari Kleemola
,
Katja Moilanen
,
Walter Daelemans
,
Pieter Fivez
,
Daan Broeder
,
Franciska de Jong
,
Maria Panagiotopoulou
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3897/arphapreprints.e107873
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3897/arphapreprints.e107873
This publication details the workplan of the Science Project (SP) “COVID-19 metadata findability and interoperability in EOSC” (short: META-COVID) that is part of the Horizon Europe funded project EOSC Future. The COVID-19 pandemic has generated a huge variety of research activities, studies, and policies across both the life sciences (LS) and the social sciences and humanities (SSH). Useful insights from combining the data and conclusions from these different forms of research are, however, hampered by the lack of a common metadata framework with which to describe them. This is because different scientific disciplines have different ways of organising research activities. For example, the type of the research (e.g., hypothesis testing versus hypothesis generating) and the methodology chosen (e.g., experimental, survey, cohort, case study) are key elements in understanding the data generated and in supporting its secondary use. Another issue to be tackled is the integration of various sources of metadata related to parliamentary and social media metadata. In META-COVID, scientists from the LS and SSH domains gathered to discuss ways in which metadata could go beyond the description of the data itself to include the basic elements of the research process (“contextual metadata”) within the frame of the European Open Science Cloud (EOSC). The main outcomes of the SP will be: i) An inventory of metadata schemas applied across infrastructures and domains; ii) The development of a framework for a metadata model characterising the research approach and workflow across research infrastructures; iii) The application of the framework to selected COVID-19 use cases; iv) The development of an ontology of COVID-19 related topics from parliamentary data and social media.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.3897/arphapreprints.e107873
- https://preprints.arphahub.com/article/107873/download/pdf/
- OA Status
- gold
- Cited By
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- References
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- Related Works
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- OpenAlex ID
- https://openalex.org/W4380610567
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4380610567Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3897/arphapreprints.e107873Digital Object Identifier
- Title
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Improving COVID-19 metadata findability and interoperability in the European Open Science CloudWork title
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preprintOpenAlex work type
- Language
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enPrimary language
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2023Year of publication
- Publication date
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2023-06-14Full publication date if available
- Authors
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Christian Ohmann, Steve Canham, Kurt Majcen, Petr Holub, Gary Saunders, Jing Tang, Tanushree Tunstall, Philip Gribbon, Reagon Karki, Mari Kleemola, Katja Moilanen, Walter Daelemans, Pieter Fivez, Daan Broeder, Franciska de Jong, Maria PanagiotopoulouList of authors in order
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https://doi.org/10.3897/arphapreprints.e107873Publisher landing page
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https://preprints.arphahub.com/article/107873/download/pdf/Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://preprints.arphahub.com/article/107873/download/pdf/Direct OA link when available
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Metadata, Interoperability, World Wide Web, Computer science, Cloud computing, Workflow, Metadata modeling, Data science, Information retrieval, Metadata repository, Database, Operating systemTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.(e.g., | 107, 117 |
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| abstract_inverted_index.Useful | 57 |
| abstract_inverted_index.across | 44, 218, 238 |
| abstract_inverted_index.beyond | 175 |
| abstract_inverted_index.cases; | 251 |
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| abstract_inverted_index.media. | 267 |
| abstract_inverted_index.social | 52, 154, 266 |
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| abstract_inverted_index.topics | 261 |
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| abstract_inverted_index.within | 193 |
| abstract_inverted_index.(EOSC). | 202 |
| abstract_inverted_index.(short: | 17 |
| abstract_inverted_index.Another | 137 |
| abstract_inverted_index.Future. | 29 |
| abstract_inverted_index.Horizon | 24 |
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| abstract_inverted_index.European | 198 |
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| abstract_inverted_index.domains; | 221 |
| abstract_inverted_index.elements | 125, 186 |
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| abstract_inverted_index.ontology | 257 |
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| abstract_inverted_index.policies | 43 |
| abstract_inverted_index.research | 39, 70, 98, 106, 189, 234, 239 |
| abstract_inverted_index.sciences | 48, 53 |
| abstract_inverted_index.selected | 248 |
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| abstract_inverted_index.infrastructures; | 240 |
| abstract_inverted_index.interoperability | 14 |
| abstract_inverted_index.“COVID-19 | 10 |
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| abstract_inverted_index.(“contextual | 191 |
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| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 16 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
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| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
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