Unit/Lesson

The resource includes a range of activities that can be used in the classroom or as self-paced learning activities. 

The aim of the resource is to familiarise both instructors and students with psychosocial methods and show how other researchers have used these approaches empirically and theoretically in their research projects.

This resource consists of a series of activities which can be used in the classroom or in self-paced learning. This teaching resource incorporates a selection of qualitative material collected during the course of the Peter Townsend’s 1950s Last Refuge study, which was a major investigation of long-stay institutional care for old people in Britain.

The aims of this resource are to think critically about the original project's methodology and think through what kinds of opportunities and challenges these methods might present for reuse of that data.

This resource is designed for teachers to get students to think about data and numbers, teach them how to interpret, analyse and visualise data. This will be done by answering questions such as what proportion of the British public opposes capital punishment, how have attitudes about gender roles changed over the last 30 years and how have levels of crime changed in the last few decades. 

Ranke.2 is a teaching platform for lecturers and students of History to teach how to apply source criticism to digitised and digital born historical sources.

QAMyData is an easy-to-use, open source tool that provides a health check for numeric data. The tool uses automated methods to detect and report on some of the most common problems in survey or numeric data, such as missingness, duplication, outliers and direct identifiers.

The tool offers a number of configurable tests that have been categorised into four types: file, metadata, data integrity, and identifiers, which can be run on popular file formats, including SPSS, Stata, SAS and CSV. A standard config file has default settings for each test, such as a threshold for pass or fail on various tests (e.g. detect value label that are truncated, email addresses identified as a string, or undefined missing values) which can be easily adapted to meet the user’s own desired thresholds. The configuration feature allows the creation of a unique Data Quality Profile. The software creates a ‘data health check’ that details errors and issues as both a summary and detailed report, providing a location of the failed test. New tests can easily be added. Data depositors and publishers can act on the results and resubmit the file until a clean bill of health is produced.

These introductory level interactive modules are designed for users who want to get to grips with key aspects of survey, longitudinal and aggregate data.

Modules can be conducted in your own time and you are able to dip in and out when needed. The modules give an introduction to key aspects of the data using short instructional videos, interactive quizzes and activities using open access software where possible.

Each module stands alone but those with little experience of surveys may find it useful to start with the Survey Data Module before moving on to the Longitudinal Data Module.

Modules include: Survey Data, Longitudinal Data, Aggregate Data

Guide designed to be used as a resource for encouraging better data management and research integrity in undergraduate dissertations, and is aimed at RDM trainers and teachers supervising research projects and students undertaking them. The resource consists of a number of practical templates and exemplars, and a link to the slides for teaching is also included. These can be adapted and modified to suit various project needs and different disciplines.

This is a collection of resources dedicated to teachers, trainers and their students but could also be useful to researchers and the general public. It includes guides, e-books, slides and webinars covering a wide range of topics: quantitative methods, statistical software, teaching data analysis, data visualisation, qualitative methods and psychosocial approaches.

The Luxembourg Centre for Contemporary and Digital History (C²DH) is the University of Luxembourg’s third interdisciplinary research centre, focusing on high-quality research, analysis and public dissemination in the field of contemporary Luxembourgish and European history. It promotes an interdisciplinary approach with a particular focus on new digital methods and tools for historical research and teaching.

This source includes interactive modules designed for users who want to get to grips with key aspects of survey, longitudinal and aggregate data as well as tools that can be used to assess and improve data quality. 

Modules can be conducted in your own time and you are able to dip in and out when needed. The modules give an introduction to key aspects of the data using short instructional videos, interactive quizzes and activities using open access software where possible. Tools include guides, documentation and exercises.