E-learning module

The article summarises and critiques various training provisions around best practices in Research Data Management. The article, which is openly available on DARIAH-Campus, deals with issues such as what is data in the humanities, what are the benefits of research data management, what are your options when it comes to sharing your data, leading to a recipe for Data Management Planning of your research project.

In this moderated course you will learn how to reuse the FOSTER toolkit on any other context like the website or the Learning Management System (LMS) of your institution.

The Open Science Toolkit https://www.fosteropenscience.eu/toolkit consists of ten online courses addressing key Open Science topics: What is Open Science?; Best practices; Managing and Sharing Research Data; Open source software and workflows; Data protection and Ethics; Open Licensing; Open access publishing; Sharing preprints; Open peer review; and Open Science and innovation.

This moderated course is available in the FOSTER Learning Management System platform.

Machine Learning for Artists @ ITP-NYU, Spring 2016

Course taught by @genekogan

The aim of this tutorial is to assist course instructors with creating new courses and editing existing ones in the FOSTER portal.

After completing the module, the course instructors will be able to:

• propose a course
• upload course material in the portal
• create a course
• add a lesson and lesson material
• create and add a quiz
• publish the course
• communicate with the course participants (use the Forums)

About 200 online courses dedicated to various disciplines including humanities and social sciences.

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. 

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. 

FOSTER Plus (Fostering the practical implementation of Open Science in Horizon 2020 and beyond) is a 2-year, EU-funded project, carried out by 11 partners across 6 countries. The primary aim is to contribute to a real and lasting shift in the behaviour of European researchers to ensure that Open Science (OS) becomes the norm.

The FOSTER portal is an e-learning platform that brings together the best training resources addressed to those who need to know more about Open Science, or need to develop strategies and skills for implementing Open Science practices in their daily workflows. Here you will find a growing collection of training materials. Many different users - from early-career researchers, to data managers, librarians, research administrators, and graduate schools - can benefit from the portal. In order to meet their needs, the existing materials will be extended from basic to more advanced-level resources. In addition, discipline-specific resources will be created.

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.