The SSH Training Discovery Toolkit provides an inventory of training materials relevant for the Social Sciences and Humanities.
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|Oral Archives for Sociolinguistic Research||
The goal of the course in sociolinguistics is to show students the possibilities and challenges offered by oral history archives for (socio)linguistic research. The course is intended as a research framework that will guide students during their future research work. The lectures allow students to become acquainted with the CLARIN infrastructure, and to present them with software tools that will allow them to carry out their own thesis research independently. The course offers guidance for the following steps that must be addressed during a (research) project dealing with oral archives: i) reviewing ethical and legal issues arising from using and reusing legacy data; ii) use of metadata to provide the appropriate level of description for the dataset; iii) automatic and manual transcription of the speech material, using the CLARIN infrastructure; iv) the selection and use of the appropriate CLARIN software and tools depending on the research goals (phonetic, lexical, discourse analysis, etc.).
Taken from: Teaching with CLARIN: https://www.clarin.eu/content/oral-archives-sociolinguistic-research
|Research Data Management and Sharing||
This course will provide learners with an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management plans, and be familiar with best practices for working with data including the organization, documentation, and storage and security of data. Learners will also understand the impetus and importance of archiving and sharing data as well as how to assess the trustworthiness of repositories.
|Formal Ontologies: A Complete Novice’s Guide||
This module is specifically aimed at those who are not yet familiar with ontologies as a means of research data management, and will take you through some of the main features of ontologies, and the reasons for using them.