Learn the essentials for managing research data with this self-guided online course.
The course equips you to:
- recognise good practice in managing research data and apply it to your own context
- gain the knowledge to create a data management plan and use it throughout your project
- know how to organise and document your data efficiently during your project
- understand which options are available to you to securely store and back up your data
- learn to use SPSS, NVivo, R, or ArcGIS for data handling.
The course has eight online modules covering these topics:
- Nature of research data
- Data management plans
- Data organisation
- File formats and transformation
- Documentation and metadata
- Storage and security
- Protecting sensitive data
- Preservation, sharing and licensing
There is also a set of downloadable tutorials that will help you develop data handling skills with one of these software environments: R; SPSS; NVivo; ArcGIS.
The course is aimed primarily at postgraduate research students and early career researchers but may be useful to other more experienced researchers. It also contains a training toolkit for information professionals.
More about MANTRAFree or Paid for:
Free
Product Features
- Online course
- Self-paced
- Training kit for information professionals
- Downloadable resources
- No certificate
Applicable Disciplines
- Agricultural and Biological Sciences
- Business, Management and Accounting
- Computer Sciences
- Energy
- Health Professions
- Material Science
- Neuroscience
- Physics and Astronomy
- Arts and Humanities
- Chemical Engineering
- Earth and Planetary Sciences
- Engineering
- Immunology and Microbiology
- Mathematics
- Nursing
- Psychology
- Biochemistry, Genetics and Molecular Biology
- Chemistry
- Economics, Econometrics and Finance
- Environmental Science
- Medicine
- Pharmacology, Toxicology and Pharmaceutics
- Social Sciences
- Veterinary
Technical Requirements
- Internet access
Skills Required
- N/A
Support and Training Available
- Online guidance
- Phone and email support from the Research Data Support Team