The SSH Training Discovery Toolkit provides an inventory of training materials relevant for the Social Sciences and Humanities.
Use the search bar to discover materials or browse through the collections. The filters will help you identify your area of interest.
|UK Business Data User Conference 2021||
The UK Data Service and the Office for National Statistics (UK) held a business data conference in 2021. This resource provides all slides, recordings and other useful materials from the conference.
The conference included a mixture of presentations from the Office for National Statistics (ONS), UK Data Service, and researchers who have used data from the UK Surveys covering the areas of business, industry and trade.
|Linking external business data to ONS business data||
The UK Data Service is able to assist researchers wishing to link external business data to ONS business data in the Secure Lab. This guide provides all the information needed to guide users wishing to link external business data to ONS business data.
|Secure Lab User Guide||
This is a guide to the UKDS Secure Lab. Within this guide, users can find everything they need to know in order to access and use the highly detailed, sensitive data available via the UKDS SecureLab.
|Introduction to Digital Humanities||
The aim of the course is to introduce digital humanities and to describe various aspects of digital content processing. The practical aims consist of introducing current data sources, annotation, pre-processing methods, software tools for data analysis and visualisation, and evaluation methods.
Currently, we identified that students are somewhat aware of digital humanities but it is difficult for them to dive in and, mainly, to anticipate what they should learn for their future research. A more detailed goal of this course is to present some current projects, show the datasets and technologies behind, and encourage students to explore the datasets and use the technologies on data they already know. A high level goal is to set the knowledge of the technologies and available datasets into the research iteration loop (create hypotheses -> design instruments -> collect data -> analyze and evaluate).
Taken from: Teaching with CLARIN: https://www.clarin.eu/content/introduction-digital-humanities
|Teaching ideas: Guides for teaching data analysis||
This resource is a collection of short guides designed to make lesson planning more efficient for those teaching data analysis skills. Drawing on real classroom experiences, each guide includes suggested research questions, dataset and exercises:
|Building skills in quantitative methods and statistical software||
A collection of quantitative methods e-books and accompanying quizzes for direct use in teaching students or for self-study. E-books aim to build skills in quantitative methods and statistical software and use the Living Costs and Food Survey.
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.
|Teaching resource: Introducing quantitative analysis using SPSS||
The resource can serve both as an introduction to the Malaise Inventory - an established scale to measure signs of psychological distress - and as an introduction to quantitative analysis using SPSS. The data and resources are aimed for use with undergraduates and postgraduates and are designed to be used with SPSS (the data are also made available in Stata and tabdelimited formats).
This resource includes a guide on how to access data, an introduction to the established set of survey questions that measures psychological distress - the Malaise Inventory - and a number of data analysis exercises using SPSS.
|Teaching resource: Non-interview methods||
This teaching resource provides instructors and students with materials designed to assist in teaching qualitative methods of data collection.
This resource provides brief summaries of some of the different ways in which researchers can collect qualitative data, including focus groups, diaries, online data collection, and visual methods. Each summary is accompanied by an illustrative data sample from the extensive collections held by the UK Data Archive.
|UK Data Service: Survey and Census Data||
This source includes a series of resources in the form of guides and e-books dedicated to trainers and students interested in sample design, weighting, changes over time using cross sectional and longitudinal data and mapping census data using different software.
|UK Data Service: Secure Lab||
The UK Data Service SecureLab has enabled secure access to the most sensitive and confidential data in the collection since 2011. SecureLab provides controlled access to data that are too detailed, sensitive or confidential to be made available under less restrictive access levels.