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.
|IIIF - International Image Interoperability Framework||
The International Image Interoperability Framework (IIIF) is a group of standard APIs around sharing and reuse of media. It is also a growing community of galleries, libraries, archives, museums, companies, and others who develop the standards and interoperable software implementations. Content includes helpful links around each of the standards, demonstrations of their use, and tutorials and presentations. The list is especially helpful for orienting new community members and developers.
|School of Simulation and Visualisation at The Glasgow School of Art||
The School of Simulation and Visualisation is a state of the art research centre at The Glasgow School of Art focussing on cutting-edge real-time 3D visualization and interaction technologies. Research is multi-disciplinary and is integrated with postgraduate academic activities. Core research focusses on interaction, haptics, gesture, 3D sound, real-time photorealistic 3D visualisation, digital heritage, medical visualisation, and serious games.
At GESIS we offer a wide range of events, especially training courses on empirical social research methods. Our theory founded and hands-on courses develop participants’ methods skills and are aimed at both early career and senior researchers from Germany, Europe, and the whole world.
|Videos on Teaching: Conceptualizing and Visualizing Conflict Data with Shiny||
ICPSR has a number of video presentations that address a variety of topics on their YouTube Channel. Including Drs. Dave Armstrong's and Christian Davenport's video on a real-world example of data visualization using Shiny. They discuss conceptualization and measurement of conflict in quantitative data and demonstrate how to produce graphics to convey their findings.
|Free Qualitative Data Analysis with Taguette and Qcoder||
Webinar on free and open source qualitative analysis tools. Presentation of the free software Taguette and Qcoder.
|Scratch: Programming for Teachers||
In this course you will learn the basics of programming and how to teach it yourself as a primary or secondary school teacher.
Youtube playlist of past webinars organised by the UK Data Service. Topics include:
|Applied Data Visualization||
The workshop Applied Data Visualization introduces students to the theory and methods underlying data visualization. Data analysts face an ever-increasing amount of data (→ big data) and rather revolutionary technological developments allow researchers to visually engage with data in unprecedented ways. Hence, data visualization is one of the most exciting fields in data science right now. In this workshop students acquire the skills to visualize data in R both for exploratory purposes as well as for the purpose of explanation/presentation. We'll rely on R, the most-popular statistical programming environment when it comes to visualization and we'll make use of popular R packages such as ggplot2 and plotly. Besides creating static graphs we'll also have a look at interactive graphs and discuss how interactive visualization may revolutionize how we present data & findings.
Please note, this is an example of a possible workshop. Some workshops are offered regularly. An updated workshop list is to be found under the link provided under the Access point.
clarin:el is the Greek national network of language resources, a nation-wide Research Infrastructure devoted to the sustainable storage, sharing, dissemination and preservation of language resources.
The Central Aggregator is the central Repository of the clarin:el Infrastructure, which is responsible for the harvesting of metadata from the local Repositories, the organisation and the presentation of the metadata descriptions in a uniform catalogue and the provision of access to the Language Resources to the network members and to the public.
The lessons introduce terms, phrases, and concepts in software development and data science, how to best work with data structures, and use regular expressions in finding and matching data. We introduce the Unix-style command line interface, and teach basic shell navigation, as well as the use of loops and pipes for linking shell commands. We also introduce grep for searching and subsetting data across files. Exercises cover the counting and mining of data. In addition, we cover working with OpenRefine to transform and clean data, and the benefits of working collaboratively via Git/GitHub and using version control to track your work.