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:
- Understand the nature of research data in a variety of disciplinary settings
- Create a data management plan and apply it from the start to the finish of your research project
- Name, organise, and version your data files effectively
- Gain familiarity with different kinds of data formats and know how and when to transform your data
- Document your data well for yourself and others, learn about metadata standards and cite data properly
- Know how to store and transport your data safely and securely (backup and encryption)
- Understand legal and ethical requirements for managing data about human subjects; manage intellectual property rights
- Understand the benefits of sharing, preserving and licensing data for re-use
- 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.
No visible endpoint but there is an dump of the courses available in Zenodo (https://zenodo.org/record/1035218). They were created using open source software Xerte Online Toolkits and can be imported and edited into Virtual Learning Environments such as Moodle.
|Data handling tutorials||
Practical tutorials to manage and handle research data for particular software packages: SPSS, R, ArcGIS and N-Vivo. Tutorials contain many practical exercises.
|DIY Research Data Management Training Kit for Librarians||
Training kit for librarians who wish to gain confidence and understanding of research data management, based on open educational materials, covering five topics:
The kit uses the Research Data Mantra online course and selected exercises from the UK Data Archive. It further contains a training schedule, podcasts for short talks, presentation slides, evaluation forms, data curation profiles and reflective writing questions based on the experience of academic librarians who have taken the course.
Data Curation Profiles provide a complete framework for interviewing a researcher in any discipline about their research data and their data management practices.