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- 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.
- 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.
- 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
- 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.
- 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.