English

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.

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.
 

Free online course for those who manage digital data as part of the research process. It has been created for the use of post-graduate students, early career researchers, and also information professionals.

There are eight online units in this course and four data handling tutorials that will help you:

1. Understand the nature of research data in a variety of disciplinary settings
2. Create a data management plan and apply it from the start to the finish of your research project
3. Name, organise, and version your data files effectively
4. Gain familiarity with different kinds of data formats and know how and when to transform your data
5. Document your data well for yourself and others, learn about metadata standards and cite data properly
6. Know how to store and transport your data safely and securely (backup and encryption)
7. Understand legal and ethical requirements for managing data about human subjects; manage intellectual property rights
8. Understand the benefits of sharing, preserving and licensing data for re-use
9. Improve your data handling skills in one of four software environments: R, SPSS, NVivo, or ArcGIS

Each unit takes up to one hour, plus time for further reading and carrying out the data handling exercises. In the units you will find explanations, descriptions, examples, exercises, and video clips in which academics, PhD students and others talk about the challenges of managing research data. 

Target group: library professionals. (Also leadership training)

Synergies for Europe's Research Infrastructures in the Social Sciences (SERISS) is a four-year project that aims to strengthen and harmonise social science research across Europe. It brings together leading European Research Infrastructures in the social sciences - ESS, the Survey of Health, Ageing and Retirement in Europe (SHARE ERIC) and Consortium of European Social Science Data Archives (CESSDA ERIC) - alongside organisations representing the Generations and Gender Programme (GGP), European Values Study (EVS) and the WageIndicator Survey.

Focused around three key themes – key challenges facing cross-national data collection, breaking down barriers between research infrastructures, and embracing the future of social sciences – SERISS will address issues relating to survey design and data collection, data management and curation from a collaborative, cross-national perspective. The project will better equip Europe’s social science data infrastructures to play a major role in addressing the key societal challenges facing Europe today and ensure that national and European policymaking is built on a solid base of the highest-quality socio-economic evidence.

SERISS has developed a suite of online tools, webinars and lectures to provide training on data management, data handling and harmonisation, as well as on statistical analysis to a wider social science community.  

The European Holocaust Research Infrastructure (EHRI) portal offers interactive and online courses in Holocaust Studies, as well as information and useful links on Seminars and Workshops, Fellowships and Summer Schools. 

Teaching basic lab skills for research computing. Lessons and workshops in three core topics: the Unix shell, version control with Git, and a programming language (Python or R). 

OpenAIRE wants to shift scholarly communication towards openness and transparency and facilitate innovative ways to communicate and monitor research. OpenAIRE provides: open science services, training for open science and open science policies. 

OpenAIRE Support aims to train researchers, content providers, policy makers to acquire skills and competencies to Open Science practice. For this purpose, guides, factsheets and webinars to fostering culture change for Open Science practice have been set up, and workshops are organised, OpenAIRE Support also provides use cases of OpenAIRE services for different stakeholders.

The Data Management Expert Guide is designed by European experts from the CESSDA Training Working Group to help social science researchers make their research data Findable, Accessible, Interoperable and Reusable (FAIR).

The guide is written for social science researchers who are in an early stage of practising research data management. With this guide, CESSDA wants to contribute to professionalism in data management and increase the value of research data.

The guide leads through the research data lifecycle from planning, organising, documenting, processing, storing and protecting data to sharing and publishing them. Taking the whole roundtrip will take approximately 15 hours.

Particular specialties of the guide is a focus on European diversity (for example in data protection legislation, research ethics, research funder DMP requirements, etc), developing a Data Management Plan as you progress through the guide, and topical expert tips.

Browsing, discovering and organising life sciences training resources, aggregated from ELIXIR nodes and 3rd-party providers.