Online Training Seminar “Creating Research Data Metadata: Quality, Standards, Documentation

Researchers, data curators and other interested participants are invited to register for a training seminar on creating metadata for research data and using it to improve the findability and visibility of scientific outputs. This practice‑oriented seminar will introduce participants to metadata types, standards and quality principles, provide hands‑on experience with tools for working with metadata, and explore the role of ontologies and the semantic web in data discovery. The seminar will also cover best‑practice examples, while practical exercises will allow participants to try out metadata management and consolidate their newly acquired knowledge.

The seminar will be led by Eduards Skvireckis, a digital humanities specialist and data architect at the National Library of Latvia, an expert in data architecture and interoperability within the unified Latvian cultural heritage knowledge base, and a lecturer at the University of Latvia in the fields of information organisation and digital tools.

Content

• Metadata, metadata management and their role in research (FAIR principles)
• Metadata types, standards and formats (Dublin Core, DataCite, schema.org, XML, JSON‑LD)
• Metadata quality and validation
• Tools for metadata analysis, processing and verification (OpenRefine, F‑UJI, Dataverse API)
• Linked data and the semantic web
• Ontologies and controlled vocabularies
• Basics of RDF and SPARQL
• FAIR metadata practices in the Dataverse environment

Venue: online (Teams)

Date: 24 April (Friday)

Time: 9:00–16:45 (approx. 6 hours + breaks)

Target audience: data curators, researchers, doctoral students

Language: Latvian

Participation: free of charge

More information and registration: HERE.

Organised by: Higher Education and Science IT Shared Services Centre (VPC)

Contact: datukuratori@vpc.lv

The event is organised within the project “Support for the practical implementation of open science, including the development of solutions for research data sharing and participation in the European Open Science Cloud” (No. 2.1.3.1.i.0/2/23/I/CFLA/002).