Kesäniemi, Joonas

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Kesäniemi, Joonas

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    Challenges in managing semantic annotations in harvested research objects in a national CRIS context
    (euroCRIS, 2022-05-12)
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    Harvested metadata on research objects can include links between the primary domain objects such as organizational identifiers associated with dataset, persons identified with ORCIDs linked to publications and publications connected through ISSNs to publishing channels. This kind of linkage is the bread-and-butter of the CRIS systems and usually comprehensively maintained. When it comes to the more subjective description of a domain object, such as keywords, themes, or subject headings, the issues related to data management and modeling become prominent with challenges such as flexibility of free text keywords as opposed to authoritative, but rigid classification systems. Many CRIS objects also already contain an extensive description of the content, just meant for human consumption, in the form of an abstract or similar summary text. With the help of automated data mining and annotation tools, these textual representations can be processed into structured data. This paper presents the processing pipelines implemented as part of the research.fi portal for automatic linking of different research inputs based on automatically extracted ontology concepts and discusses the implications of utilizing them as part of the research.fi platform. But more than simply discussing the annotation of research objects and the creation of word clusters for representation of the semantic content of research objects, we also discuss challenges related to maintaining the automatically produced metadata, as the utilized ontologies evolve, annotation algorithms develop, connections between research objects and mined word clusters change over time.
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    CRIS systems integration as a case study for the Metadata Schema and Crosswalk Registry
    (euroCRIS, 2024-05-15)
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    Mappings are essential to interoperability for both human and systems when there is a need to exchange information without a common formats. In this paper we report on the results of work related to mappings between models from the national CRIS systems and the new refactored and modernized CERIF2 model. Metadata Schema and Crosswalk Registry (MSCR) is a a new tool under development as part of the FAIRCORE4EOSC project that is designed to support the maintenance of schemas and crosswalks between them. The MSCR also facilitates the operationalization of crosswalks i.e. the transformation of metadata records. We will present the current status of the CERIF2, the results of mapping from the Finnish national CRIS research.fi and CERIF2, and demonstrate the role of the MSCR in process of implementing operability.