ARPHA Preprints, doi: 10.3897/arphapreprints.e107873
Improving COVID-19 metadata findability and interoperability in the European Open Science Cloud
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‡ European Clinical Research Infrastructure Network (ECRIN), Düsseldorf, Germany§ European Clinical Research Infrastructure Network (ECRIN), Paris, France| Biobanking and Biomolecular Resources Research Infrastructure (BBMRI-ERIC), Graz, Austria¶ European Infrastructure for Translational Medicine (EATRIS), Amsterdam, Netherlands# University of Helsinki, Helsinki, Finland¤ Fraunhofer Institute for Translational Medicine and Pharmacology (ITMP), Hamburg, Germany« Fraunhofer Cluster of Excellence for Immune-Mediated Diseases (CIMD), Frankfurt, Germany» Finnish Social Science Data Archive, Tampere University, Tampere, Finland˄ University of Antwerp, Antwerp, Belgium˅ Common Language Resources and Technology Infrastructure (CLARIN), Utrecht, Netherlands
Corresponding author: Maria Panagiotopoulou ( maria.panagiotopoulou@ecrin.org ) © 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. This is an open access preprint distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Citation:
Ohmann C, Canham S, Majcen K, Holub P, Saunders G, Tang J, Tunstall T, Gribbon P, Karki R, Kleemola M, Moilanen K, Daelemans W, Fivez P, Broeder D, de Jong F, Panagiotopoulou M (2023) Improving COVID-19 metadata findability and interoperability in the European Open Science Cloud. ARPHA Preprints. https://doi.org/10.3897/arphapreprints.e107873 |  |
Abstract
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.
Keywords
EOSC Future, Science Clusters, Science Projects, FAIR principles, Contextual Metadata, Life Sciences, Social Sciences and Humanities, COVID-19