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- ItemThe Research Core Dataset (KDSF) in the Linked Data context(Amsterdam [u.a.] : Elsevier, 2019) Walther, Tatiana; Hauschke, Christian; Kasprzik, Anna; Sicilia, Miguel-Angel; Simons, Ed; Clements, Anna; de Castro, Pablo; Bergström, JohanThis paper describes our efforts to implement the Research Core Dataset (“Kerndatensatz Forschung”; KDSF) as an ontology in VIVO. KDSF is used in VIVO to record the required metadata on incoming data and to produce reports as an output. While both processes need an elaborate adaptation of the KDSF specification, this paper focusses on the adaptation of the KDSF basic data model for recording data in VIVO. In this context, the VIVO and KDSF ontologies were compared with respect to domain, syntax, structure, and granularity in order to identify correspondences and mismatches. To produce an alignment, different matching approaches have been applied. Furthermore, we made necessary modifications and extensions on KDSF classes and properties.
- ItemIntegrating distributed data sources in VIVO via lookup services(Kiel : ZBW - Leibniz Information Centre for Economics, 2017) Walther, Tatiana; Barber, MartinRecording information about countries, conferences, organizations and concepts in a Linked Data application like VIVO means at the first stage an initial import of a large number of data items, which beforehand must be transformed into RDF and manually enriched with persistent identifiers, geographic position, short description, and multilingual labels. Collecting, enriching and converting such an amount of information cost considerable temporal and administrative efforts. Storage of the amount of data can slow down the performance, responsiveness and reasoning processes of an application. Lookup services, already developed for VIVO, DSpace-CRIS, Linked Data for Libraries (LD4L) and other projects are aimed to facilitate the integration of external authority data. Whereas some vocabularies and data sources like EuroVoc and Wikidata offer a SPARQL endpoint, other authority data sources such as the Integrated Authority File of the German National Library (GND) provide only data dumps. Our objective is to enable a combined access to external sources via a single interface, using Named Entity Recognition tools, APIs and SKOSMOS in the background. Beside concepts we would also provide integration of such data items as events, organizations and languages, supplemented with additional information, which requires mappings between source and target systems in order to insert and display attributes and relations of the selected entities. Furthermore we investigate the automated transferring of the changes made in external vocabularies to the data in the target system. This presentation outlines our achievements and lessons learned concerning the integration of semantically structured and enriched data from distributed sources via lookup services, similar to the external vocabulary services in VIVO and related projects.
- ItemVIVO - eine Einführung(Zenodo, 2018) Hauschke, Christian; Walther, TatianaFür Neueinsteiger werden die wichtigsten Funktionalitäten von VIVO vorgestellt und können in einem bereitgestellten Demo-System von den TeilnehmerInnen auch selbst ausprobiert werden.
- ItemLost in translation – challenges of tailoring VIVO to the needs of the German scholarly landscape(Hannover : Technische Informationsbibliothek, 2017) Hauschke, Christian; Barber, Martin; Kasprzik, Anna; Walther, TatianaEvery time a research information system is implemented in an academic institution there is a need to adjust the software to local needs. If a system has its roots in a different country, the adjustments can be more comprehensive. In this case, the VIVO ontology and a lot of the underlying assumptions, which are based on the realities of the US scholarly landscape, must be “tailored” to be able to depict “German” academic reality. The differences concern both the meaning of the translated terms and the usage of the terms in the common parlance. The prominent examples for such kind of terms are grants and faculties. ‘Grant’ is an essential concept to describe the funding of research projects. Universities are divided into colleges and schools. The concepts for the description of research funding in Germany are completely different, and universities are usually divided into ‘Fakultäten’ and ‘Lehrstühle’. Furthermore, terms like ‘faculty’, or ‘grant’ are not being used consistently in German academic institutions. On the other hand some concepts which are important for representing the German academic landscape are missing in the VIVO Ontology. There are ongoing efforts to add missing classes and properties. The extension of the VIVO ontology with concepts as universal and interoperable as possible, and which are typical for Germany also requires broad agreement between German VIVO applicants. Due to the above mentioned issues, it was necessary, that, actors from different German institutions build a network to collaborate on these problems. This collaboration takes place in a number of working groups, calls and on GitHub. It has been resulted in a general ontology extension (VIVO-DE) and several drafts of the translation of the VIVO Ontology. Another common task is the translation of the VIVO application files into German and the constant updating of this translation with every new VIVO version. The 'Kerndatensatz Forschung' (The Research Core Dataset - a data model for research reporting) as an extension of the VIVO Ontology is one of the current tasks, which is collaborated on as well. This talk concerns the challenges, efforts and tools of the German VIVO community to address the described issues.
- ItemTIB-FIS-Discovery - VIVO at the German National Library of Science and Technology (TIB)(Hannover : Technische Informationsbibliothek, 2017) Hauschke, Christian; Barber, Martin; Walther, TatianaPoster at VIVO Conference 2017 at Weill Cornell, New York.
- ItemVIVO - eine Einführung(Zenodo, 2017) Hauschke, Christian; Walther, TatianaFolien zum Webinar "VIVO - eine Einführung" am 25. April 2017, in dem unter anderem die VIVO-Instanz der Technischen Informationsbibliothek (TIB) vorgestellt wird.
- ItemUmsetzung des KDSF-Datenmodells in VIVO(Zenodo, 2017) Walther, Tatiana; Hauschke, ChristianIm Rahmen des Projekts „Umsetzung Kerndatensatz Forschung in VIVO“ wird am Open Science Lab der Technischen Informationsbibliothek Hannover (TIB) der Versuch unternommen, den Kerndatensatz Forschung in das Forschungsinformationssystem VIVO zu integrieren. Entwurf KDSF-VIVO-Alignment und KDSF-VIVO-Extension: https://github.com/VIVO-DE/VIVO-KDSF-Integration
- ItemReporting / KDSF und VIVO(Zenodo, 2018) Hauschke, Christian; Walther, TatianaIn diesem Workshop wird gezeigt, wie man Forschungsinformationen für Berichtszwecke in VIVO erfassen und berichtsbezogene Fragestellungen beantworten kann.
- ItemTIB-FIS-Discovery: VIVO an der TIB(Zenodo, 2017) Walther, TatianaThe subject of this presentation is the project "TIB-FIS-Discovery" at the German National Library for Science and Technology (TIB). The presentation outlines the goal and scope of the project as well as its' state. It tells about its' basic components as data policies, workflows and data management and the ways, how these components are handled at the TIB.
- ItemVIVO-Entwicklungen an der TIB Hannover(Zenodo, 2018) Walther, Tatiana; Qazi Asim Ijaz, Ahmad; Triggs, GrahamDie Präsentation stellt kurzen Überblick über die auf das Forschungsinformationssystem VIVO bezogenen Entwicklungen, welche an der TIB Hannover statt gefunden sind. Die Entwicklungen umfassen die Arbeiten an der Deutschen VIVO-Version, Reporting Komponente in VIVO und Rollen und Rechte Management.