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#dariahTeach is a platform for Open Educational Resources (OER) for Digital Arts and Humanities educators and students, but also beyond this aiming at Higher Education across a spectrum of disciplines, at teachers and trainers engaged in the digital transformation of programme content and learning methods. #dariaTeach has two key objectives: sharing and reuse, thus developing a place for people to publish their teaching material and for others to use it in their own teaching.

OpenLearn Create provides a lower cost solution for projects and organisations wanting to deliver Open Educational Resources and free hosting of your course if you don't require additional support. It enables you to personalise material to suit your learners, has a low barrier to collaborative community development of learning materials and a space to experiment with new technologies and ways of working.

OpenLearn Create provides a home for research projects which trial new educational technologies and practice.

This handbook aims to support higher education institutions with the integration of FAIR-related content in their curricula and teaching. It was written and edited by a group of about 40 collaborators in a series of six book sprint events that took place between 1 and 10 June 2021. The document provides practical material, such as competence profiles, learning outcomes and lesson plans, and supporting information. It incorporates community feedback received during the public consultation which ran from 27 July to 12 September 2021.

This is an introductory guide to the main types of data with a time element. The guide is a brief overview of key elements in need of consideration when using these types of data. It also covers data availability and some commonly used methods for studying change over time quantitatively. 

This guide covers the basics of sampling as well as other related topics such as clustering, stratification and weighting. 

This guide explains the main reasons for using weights, how weights work and how to use weighting variables in statistical analysis. 

This guide aims to help researchers utilise extensive survey data available. In particular, this guide is designed to support those starting small research projects, especially students doing dissertations. 

The guide includes materials to read, worksheets for getting started and questions to think about and answer.

This guide will cover how to map census data in QGIS. The example used in this guide creates a choropleth map showing the percentage of males who work in the manufacturing service using the QGIS package. 

This guide aims to show the strength of using Census Microdata for a variety of research purposes, via a worked example taken from real-life research. This guide assumes some familiarity with microdata, mapping and statistical software. 

These quantitative methods e-books and accompanying quizzes are for direct use in teaching students or for self-study. They aim to build skills in quantitative methods and statistical software and use the Living Costs and Food Survey.

Using SPSS, lecturers and students can utilise both the practical and quiz elements of each e-book topic. Topics include examining variables, correlations, regression and multiple regression.

The e-books have been developed through a collaboration of the UK Data Service, National Centre for Research Methods (NCRM), and the Centre for Multi-Level Modelling at the University of Bristol and were created using the StatJR software based on original outputs from the project Using Statistical E-books to teach undergraduate students quantitative methods and statistical software funded by the British Academy.