2019, Walther, Tatiana, Hauschke, Christian, Kasprzik, Anna, Sicilia, Miguel-Angel, Simons, Ed, Clements, Anna, de Castro, Pablo, Bergström, Johan

This 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.

2017, Hauschke, Christian, Barber, Martin, Kasprzik, Anna, Walther, Tatiana

Every 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.

2017, Hauschke, Christian, Walther, Tatiana

Folien zum Webinar "VIVO - eine Einführung" am 25. April 2017, in dem unter anderem die VIVO-Instanz der Technischen Informationsbibliothek (TIB) vorgestellt wird.

2020, Altemeier, Franziska, Hauschke, Christian, Fraumann, Grischa, Schön, Petra, Schunk, Daniel, Triggs, Graham, Walther, Tatiana

Beim 4. VIVO-Workshop 2019 an der Technischen Informationsbibliothek (TIB) wurde über das Open-Source-Forschungsinformationssystem VIVO und dessen Anwendung in verschiedenen Institutionen berichtet und diskutiert. Dabei wurden einerseits technische Lösungen vorgestellt, andererseits über Konzepte wie Profilhoheit diskutiert. Der Workshop beinhaltete eine interaktive Session, in der verschiedene Themen aus der Community diskutiert und weiterentwickelt wurden.

2018, Hauschke, Christian, Walther, Tatiana

Für Neueinsteiger werden die wichtigsten Funktionalitäten von VIVO vorgestellt und können in einem bereitgestellten Demo-System von den TeilnehmerInnen auch selbst ausprobiert werden.

2017, Walther, Tatiana, Hauschke, Christian

Im 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

2017, Barber, Martin, Hauschke, Christian, Walther, Tatiana

VIVO, ein auf Linked-Data-Technologien basierendes Open-Source-Forschungsinformationssystem aus den USA, gewinnt zunehmend an Verbreitung in Europa. Um den Bekanntheitsgrad von VIVO im deutschsprachigen, bibliothekarischen Raum zu erhöhen, werden VIVO und die am Open Science Lab (OSL) der Technischen Informationsbibliothek (TIB) entwickelten Zusatzfeatures - wie zum Beispiel die Integration des Kerndatensatzes Forschung in VIVO - im Rahmen eines Hands-On-Labs dem Publikum vorgestellt. Unter Anleitung des OSL-Teams können die Teilnehmer der Session sich mit dem System praktisch auseinandersetzten sowie bestimmte Grundfunktionen und Features des Systems erproben. VIVO wird dazu im Vorfeld in einer Virtual Machine distribuiert und mit beispielhaften Stammdaten befüllt.

2018, Hauschke, Christian, Walther, Tatiana

In diesem Workshop wird gezeigt, wie man Forschungsinformationen für Berichtszwecke in VIVO erfassen und berichtsbezogene Fragestellungen beantworten kann.

2017, Hauschke, Christian, Barber, Martin, Walther, Tatiana

Poster at VIVO Conference 2017 at Weill Cornell, New York.