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.

 

Researcher

Source
Title Body
DelftX - Free online courses from Delft University of Technology

Free online courses from Delft University of Technology on edX

Delft University of Technology is the largest and oldest technological university in the Netherlands. Our research is inspired by the desire to increase fundamental understanding, as well as by societal challenges. We encourage our students to be independent thinkers so they will become engineers capable of solving complex problems. Our students have chosen Delft University of Technology because of our reputation for quality education and research.

Digital Curation Centre

The Digital Curation Centre (DCC) is a centre of expertise in digital curation with a focus on building capability and skills for research data management. They provide expert advice and practical help to research organisations wanting to store, manage, protect and share digital research data.

Amongst the many resources they provide, they have a section of training materials available for developing and/or delivering research data management training. This includes their own DC 101 training materials for training researchers, as well as training materials for librarians and research administrators. They also point to training materials made available by other providers.

 

Coursera

MOOC, offering diverse online teaching including single courses, specializations, professional certificates, mastertrack certificates and online degrees. 

It offers an array of syllabuses on "Data Science".

Data Observation Network for Earth (DataOne)

DataONE is a community driven project providing access to data across multiple member repositories, supporting enhanced search and discovery of Earth and environmental data. DataONE promotes best practices in data management through responsive educational resources and materials.

Training catalogue ENVRI

Training catalogue of the ENVRI community. This catalogue is designed to facilitate findability, sharing and reuse of educational resources on FAIR data management. To do so, it hosts metadata of educational resources collected by ENVRI so that these can be searched, discovered and accessed.

Item
Title Body
Training materials about common services and thematic services - D11.1

This report outlines the training plan that will be delivered during the first year of the EOSC-hub project. The training program is aimed at service providers, individual researchers and research communities to use, integrate the Thematic and Common services. The training program also consists of training on data management planning and on the management of IT services (by means of the FitSM standard). An overview of training events organised in the first year of the project is provided and a registry for Training Material and Training Events is set up.

Parthenos - For Trainers - Training Videos

The materials on this web site are intended to assist in bridging that gap, overcoming the general inclination within infrastructure projects to provide only training on tools, rather than finding effective ways to transfer a greater bulk of our experiential knowledge.

These materials are intended for reuse, so please feel free to incorporate them in to your courses and syllabi, or direct your students toward them for further learning.  Please apply a CC-BY license when you do reuse them, crediting the PARTHENOS Project and the specific lecturer by name (if a video or slide deck).

This item focuses on the Training Videos that are available through Parthenos.

There are short videos, longer video lectures and webinar videos. Topics include videos on research infrastructures, standards, ontologies, data and metadata, FAIR data, Open Access and many others.

Discover

Chapter on the process of data discovery and reuse, including evaluating data quality. For discovering high-quality data, curated lists of different types of social science data sources in Europe and around the world are presented.

Focus on:

  • set up - and adjust - a search strategy to find suitable data for your research purposes
  • social science data repositories as sources for discovering social science data
  • data sources which CESSDA-experts recommend for selected research topics
  • evaluating the quality and usefulness of data for secondary analysis
  • different types and modes of access to data
  • relevant DMP questions on this topic
Archive and Publish

High-quality data have the potential to be reused in many ways. This chapter explores options for archiving and publishing data as a strategy for FAIR data, considering repository solutions, access, use and citation of data.

Focus on:

  • the difference between data archiving and data publishing
  • the benefits of data publishing
  • different data publication services, such as data journal, self-archiving, a data repository
  • selecting a data repository which fits your research data's needs
  • ways to promote published research data
  • relevant DMP questions on these topics
Protect

Key legal and ethical considerations in creating shareable data. This chapter clarifies the different legal requirements of the European Union Member States, and the impact of the General Data Protection Regulation (GDPR) on research data management. It shows how sharing personal data can often be accomplished by using a combination of obtaining informed consent, data anonymisation and regulating data access. The supporting role of ethical review in managing legal and ethical obligations is also highlighted in this chapter.

Focus on:

  • legal and ethical obligations towards research participants and the different legal requirements of EU Member States
  • how protecting data properly protects against violating laws and promises made to participants
  • the General Data Protection Regulation and its relevance in research
  • informed consent, anonymisation and access controls to facilitate creating shareable data
  • relevant elements in a consent form
  • anonymisation techniques for quantitative and qualitative data
  • relevant DMP questions on these topics