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Theme: CDH Basics

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10 matching courses

Humanities Data: a basic introduction new Tue 13 Oct 2020   10:00 Finished

This CDHBasics session will explain what data is, and what ‘humanities data’ looks like (via a behind-the-scenes tour of the Digital Library). This session covers good practice around file formats, version control and the principles of data curation for individual researchers.

Sorting things out - why metadata matters new Tue 27 Oct 2020   10:00 Finished

This CDHBasics session focuses on the importance of metadata (‘data about data’), examining the crucial role played by classification systems and standards in shaping how scholars interact with historical and cultural records.

Re:search new Tue 10 Nov 2020   10:00 Finished

This CDHBasics session looks at how searching and finding technologies structure scholarship. It also covers

  • an introduction to search engines, both for web search and custom search functions within collections;
  • discussion about OCR errors and blindspots in digital search in historical collections
  • problems of fragmentation of the source text, and the legacy of pre-digital formats such as microfilm.
Digital Research Design and Data Ethics new Tue 24 Nov 2020   10:00 Finished

This CDHBasics session explores the lifecycle of a digital research project across the stages of design;

  • data capture
  • transformation
  • analysis
  • presentation and preservation

it also introduces tactics for embedding ethical research principles and practices at each stage of the research process.

This CDH Basics session will see discussion on how to assess the impact of relevant legal frameworks, including data protection, intellectual property and media law, on your digital research project and consider what approach researchers should take to the terms of service of third-party digital platforms. We will explore the challenge of informed consent in a highly-networked world and look at a range of strategies for dealing with this problem.

First steps in coding with Jupyter Notebooks new Tue 9 Feb 2021   10:00 Finished

This CDH Basics session is aimed at researchers who have never done any coding before. We will explore basic principles and approaches to writing and adapting code, using the popular programming language Python as a case study. Participants will also gain familiarity with using Jupyter Notebooks, an open-source web application which allows users to create and share documents containing live code alongside visualisations and narrative text.

Bulk Data Capture: an overview new Tue 23 Feb 2021   10:00 Finished

This CDH Basics session provides a brief introduction to different methods for capturing bulk data from online sources or via agreement with data collection holders, including Application Programme Interfaces (APIs). We will address issues of data provenance, exceptions to copyright for text and data-mining, and discuss good practice in managing and working with data that others have created.

This CDH Basics session explores how data which you have captured rather than created yourself, is likely to need cleaning up before you can use it effectively. This short session will introduce you to the basic principles of creating structured datasets and walk through some case studies in data cleaning with OpenRefine, a powerful open source tool for working with messy data.

This CDH Basics session introduces the IIIF image data framework, which has been developed by a consortium of the world’s leading research libraries and image repositories and methods of access to image collections including the collections of Cambridge University Digital Library. We will also discuss a range of methods using IIIF image data in humanities research.

Computer Vision: A critical introduction new Tue 25 May 2021   10:00 Finished

Machine vision systems can potentially help humanities researchers see historical and cultural image collections differently, and could provide tools to answer new research questions. This CDH Basics session provides an introductory overview of basic tasks in machine vision, such as Image Classification, Object Detection and Image Captioning within a critical framework highlighting the challenges of algorithmic bias and the limits of automation as a method for humanistic enquiry.

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