The SSH Training Discovery Toolkit provides an inventory of training materials relevant for the Social Sciences and Humanities.

Use the search bar to discover materials or browse through the collections. The filters will help you identify your area of interest.

 

Data provider

Item
Title Body
Data management training exercises

Set of hands-on exercises that can be used for data management and sharing training, developed from real-case datasets and scenarios. 
Core Curriculum

The lessons introduce terms, phrases, and concepts in software development and data science, how to best work with data structures, and use regular expressions in finding and matching data. We introduce the Unix-style command line interface, and teach basic shell navigation, as well as the use of loops and pipes for linking shell commands. We also introduce grep for searching and subsetting data across files. Exercises cover the counting and mining of data. In addition, we cover working with OpenRefine to transform and clean data, and the benefits of working collaboratively via Git/GitHub and using version control to track your work.
Slavic Corpora Terminology Dictionary in TEI

The corpora linguistics research group at the Institute of Western and Southern Slavic Studies (University of Warsaw) has recently started a project collecting Slavic corpora terminology with definitions so as to be able to investigate this type of lexica.

The collected data will be stored in the form of a TEI encoded dictionary. There are already started works on Polish, Czech, Bulgarian, Slovene and Slovak terms and in the near future we will add at least Serbian, Croatian and Russian as well. There will be also provided translations into English but only within the entries as equivalents for future comparative studies.
JOSS

The code for the JOSS submission tool
Open Science and Research Results Exploitation: friends or foes?

This OpenAIRE and EOSC-hub webinar covers Horizon 2020 rules and good practices approaches to addressing issues about Open Data, Open Science and research results exploitation in Consortium Agreements and Data Management Plans. It also specifically covers the issues of concern between Open Science and exploitation (patents, spin offs/ outs, confidentiality), business planning and licensing strategies.

Materials:
Open Science Primers: A RDM Handbook

The module offers a primer on managing research data.  
Open Science Primers: Open Access Basics

The primer is specifically aimed at those who are not yet familiar with Open Access. 
Manage, improve and open up your research and data

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.
Source
Title Body
UK Data Service: Manage Data

Online data management guidance and resources for researchers, developed by the UK Data Service. This resource provides best practice guidance and advice, including examples, exercises, tools and templates. The focus is on the social sciences and research with human participants. Particular areas covered are:

  • Data management planning
  • Legal and ethical aspects of managing and sharing data
  • IP Rights
  • Documenting data
  • Formatting data
  • Storing data

 
Library Carpentry

Library Carpentry workshops teach people working in library- and information-related roles how to:

  • Cut through the jargon terms and phrases of software development and data science and apply concepts from these fields in library tasks;
  • Identify and use best practices in data structures;
  • Learn how to programmatically transform and map data from one form to another;
  • Work effectively with researchers, IT, and systems colleagues;
  • Automate repetitive, error prone tasks.