Proceedings of the 15th International Symposium of Information Science (ISI 2017), Berlin, 13th-15th March 2017. Petras (Eds.): Everything Changes, Everything Stays the Same? Understanding Information Spaces. “Multilinguality of Metadata Measuring the Multilingual Degree of Europeana’s Metadata.” In M. Universidad Distrital “Francisco José de Caldas” Facultad de Ingeniería. “Metamodelo para vinculación de recursos educativos abiertos mediante especificaciones LOD y basado en principios de confianza.” Thesis doctoral. “On assessing metadata completeness in digital cultural heritage repositories.” Digital Scholarship in the Humanities 36, Supplement_2, (2021) pp.
VLADMIR VIMR HOW TO
“FAIR Metadata Standards for Low Carbon Energy Research-A Review of Practices and How to Advance.” Energies (2021) 14, no. Fernández-Peruchena, Winston Gilcrease, Paweł Gładysz, Carsten Hoyer-Klick, Kevin Joshi, Mariusz Kruczek, David Lacroix, Małgorzata Markowska, Rafael Mayo-García, Robbie Morrison, Manfred Paier, Giuseppe Peronato, Mahendranath Ramakrishnan, Janeita Reid, Alessandro Sciullo, Berfu Solak, Demet Suna, Wolfgang Süß, Astrid Unger, Maria Luisa Fernandez Vanoni and Nikola Vasiljevic. Barber, Mehmet Efe Biresselioglu, Christopher Burger-Scheidlin, Massimo Celino, Muhittin Hakan Demir, Richard Dennis, Nicolas Dintzner, Adel el Gammal, Carlos M. August Wierling, Valeria Jana Schwanitz, Sebnem Altinci, Maria Bałazinska, Michael J.“Rethinking Metadata’s Value and How It Is Evaluated.” Technical Services Quarterly 37, no. “Exploring the utility of metadata record graphs and network analysis for metadata quality evaluation and augmentation.” International Journal of Metadata, Semantics and Ontologies 14, no.
“Merjenje kakovosti podatkov v bibliografskih in normativnih zapisih: študija primera izbranih podatkovnih elementov za fasetno omejevanje in izpis seznama zadetkov v COBISS+.” Organizacija Znanja 24, no. “Uncovering Hidden Insights for Information Management: Examination and Modeling of Change in Digital Collection Metadata.” In International Conference on Information, pp. Zavalina, Shadi Shakeri, Priya Kizhakkethil, and Mark E. “Diagnostyka metadanych w kolekcjach cyfrowych.” Diagnostyka w zarządzaniu informacją: perspektywa informatologiczna (2017): pp. “A decade of evaluating europeana-constructs, contexts, methods & criteria.” In International Conference on Theory and Practice of Digital Libraries, pp. Unpublished doctoral research plan (2015)
VLADMIR VIMR CODE
The first version of the web interface: Source code He collaborates with British Library, Belgian National Library, Gemeinsamer Bibliotheksverbund, a German library consortium, Europeana, Deutsche Digitale Bibliothek, meemoo (the Flemish Institute for Archives), Gent University Library, Victoria and Albert museum and other cultural heritage organisations. He is an editor of Code4Lib Journal, co-chair of LIBER Data Science in Libraries working group, member of different library and digital humanities related groups, maker and supporter of open source and open data projects.
He is also interested in publishing and searching large text corpora in the web, and the new ways of web presence of cultural heritage (archival, library and museum materials with special focus on semantic web technologies). His main research interests are quality assessment of cultural heritage metadata and cultural analytics, the data analysis of these metadata as historical source. He received PhD (summa cum laude) from University of Göttingen, in 2019 as the output of this research.
VLADMIR VIMR SOFTWARE
Péter Király, is a software developer and researcher at at GWDG, the data, compute and research centre for Max-Planck-Society and University of Göttingen. These pages are about the process of the research – my findings, results, codes, talks. Multiple extensions are being developed along with the core framework to work with specific metadata schemas, or data source. During the project a general framework is developed, which enables metadata repositories and digital libraries (such as Europeana, TextGrid or Digital Public Library of America) to run a range of measurements on the collection, and get suggestion where they should improve the quality of their metadata. The Metadata Quality Assessment Framework is a research project on figuring out how one can decide in an algorithmic way whether a metadata record in a cultural heritage database is “good” or “bad”.
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