Matej Ďurčo

Matej Ďurčo is Chief Technology Officer for DARIAH-EU. He is also head of the technical group “Digital Humanities Research & Infrastructure” at the Austrian Centre for Digital Humanities and Cultural Heritage at the Austrian Academy of Sciences and one of the key figures in founding this institute. Since 2009, he has also participated actively in the Austrian research infrastructures core group and supported the build-up of the pan-European research infrastructures CLARIN and DARIAH, both on the Austrian and European levels. Besides building technical infrastructures, his main concern has been the social aspect, sharing knowledge and acting as interpreter between humanities research and the technical world ensuring mutual understanding in order to find optimal solutions for the specific needs of the researchers.

Use of vocabularies for metadata curation and quality assessment in Social Sciences and Humanities
EN
This event, organised in the framework of the TRIPLE project, provided insights into the use of "topical vocabularies" and their use in metadata curation and quality assessment in the Social Sciences and Humanities (in the EOSC context). The sessions introduces learners to have a better understanding of the interoperability challenges faced within/by the SSH branch of the EOSC, and be familiar with some initiatives related to metadata curation and enrichment in the SSH.
Authors
Laure Barbot
Marco Raciti
Matej Ďurčo
ExploreCor - Using Programmable Corpora in Computational Literary Studies
EN
This three-day training school organised by the CLS INFRA project focused on dynamic collections of literary texts manipulated programmatically. Learners will learn to find, evaluate, and select corpora using tools like CLSCor and DraCor, and gain skills in Python, Jupyter Notebooks, API querying, Linked Open Data, and Digital Literary Network Analysis. The training addresses reproducibility using Docker, promoting transparent, replicable research in Computational Literary Studies.
Authors
Julia Jennifer Beine
Ingo Börner
Floor Buschenhenke
Manage, Improve and Open Up Your Research Data
EN
This module looks at emerging trends and best practice in data management, quality assessment and IPR issues. It looks at policies regarding data management and their implementation, particularly in the framework of a Research Infrastructure.
Authors
Jennifer Edmond
Introduction to Linked Open Data
EN
This resource provides an introduction to Linked Open Data and SPARQL. It explains how LOD is used to publish structured data on the web and basic concepts like RDF, ontologies and using URIs. Practical exercises using SPARQL queries and SPARQL endpoints in the SPARQL playground and the CLSCor Catalogue complete the course.
Authors
Katharina Wünsche
Controlled Vocabularies and SKOS
EN
Thesauri, taxonomies and other forms of controlled vocabularies represent a conceptual backbone of the research, playing an ever-increasing role in various aspects of the data management process. These resources are indispensable to determine common understanding allowing to systematically categorize and enrich research data in a consistent manner, as well as foster the data interoperability and integration among projects and web applications.
Authors
Ksenia Zaytseva
CLARIN Tools and Resources for Lexicographic Work
EN
This course will present an overview of resources available from CLARIN that may be useful for the lexicographer; we refer to lexical datasets but also to textual resources such as corpora, as well as tools.
Authors
Francesca Frontini
Andrea Bellandi
Valeria Quochi