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.
Git
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Belmont Forum e-Infrastructures & Data Management Toolkit | This repository contains resources (links to training, policies, best practices, and other information) that enable Belmont Forum researchers to meet the Data Management expectations described in the Data and Digital Objects Management Plan, as well as a step-by-step guide to completing the DDOMP at the stages of pre-proposal, full proposal, and awarded projects. "Toolkit Training" video tutorials are available on YouTube for information about the material featured here and the structure of the site. |
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. |
Library Carpentry | Library Carpentry workshops teach people working in library- and information-related roles how to:
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Software Carpentry | Teaching basic lab skills for research computing. Lessons and workshops in three core topics: the Unix shell, version control with Git, and a programming language (Python or R). |
Title | Body |
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David Rumsey MapTab | A IIIF powered, Chrome extension that displays a random map from the David Rumsey Map Collection everytime you open a new tab in your browser. Built using Leaflet-IIIF and React.js. |
SSDS 2018 - Summer School on Data Science Training Materials | Training materials used for the 3rd Int'l Summer School on Data Science (SSDS 2018) Final resource accessible here: https://github.com/SSDS-Croatia/SSDS-2018 |