The resource introduces the audience to the OER Service as well as the university’s efforts to improve the accessibility and inclusivity of its resources. By looking at and together analysing three already published OER (all listed below), learners are taught what points to keep in mind as they are creating their own resources. The resource is available as a video and in transcript format with PowerPoint slides embedded.

This resource is a collaborative effort and was created for Geoscience Outreach students to practice considering the accessibility, inclusivity, and OER suitability of their created resources. It was originally run as a workshop by Open Content Curator Interns Molly Wickett and Alyssa Heggison in 2022, and has now been adapted for sustainable use as a video with accompanying transcript by an Intern August Enger in 2023.

This course accessibility matrix template, designed to help assess the accessibility of courses in the University of Edinburgh’s Learn virtual learning environment, was informed by the WCAG criteria and University policy​. ​It focuses both on the course and the materials uploaded to it, in particular popular formats (e.g. MS Office documents) and aspects of their accessibility which are readily adjustable, for instance formatting of text, formatting of documents etc.​ The matrix takes the form of a series of questions, objective where possible, the answers to which are standardised.

This website contains educational resources that are based on the UNESCO-recognised HIV and AIDS collections held by Lothian Health Services Archive (LHSA).

Rather than being complete lesson plans in themselves, these resources provide a range of suggested activities based on the collection items.

The resources are linked to the Curriculum for Excellence (S2 and S3) and are intended for use by teachers, youth groups and educational professionals.

The site contains resources, audio-visual material and images linked to the following subject themes: Expressive Arts, Social Studies, and Health and Wellbeing.

Digital story interviews with LGBT+ volunteers, ‘LGBT+ Healthcare 101’ presentation, and a secondary school resource, created by and for University of Edinburgh medicine students.

The resources were created as part of a project to address a lack of awareness and knowledge of LGBT+ health, and of the sensitivities needed to treat LGBT patients as valuable skills for qualifying doctors.

A collection of resources related to Ada Lovelace and the Raspberry Pi. Includes Sonic Pi workshop handbook, LEGO Raspberry Pi enclosure workshop handbook and a colouring-in illustration.

Creative Commons Attribution-ShareAlike 4.0 International License.

MANTRA is a free, online non-assessed course with guidelines to help you understand and reflect on how to manage the digital data you collect throughout your research. It has been crafted for the use of post-graduate students, early career researchers, and also information professionals. It is freely available on the web for anyone to explore on their own.

Through a series of interactive online units you will learn about terminology, key concepts, and best practice in research data management.

There are eight online units in this course and one set of offline (downloadable) 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. The data handling tutorials assume some experience with each software environment and provide exercises in PDF along with open datasets to download and work through using your own installed software.

MANTRA modules and data handling exercises are available for download via Zenodo: https://doi.org/10.5281/zenodo.1035218