12 Dec 2022 - 16 Dec 202211am-4pm daily (GMT)Online

Description

Applications have now closed.

The Cultural Heritage Data School is an online intensive application-only teaching programme which aims to bring together participants from the wider Galleries, Libraries, Archives and Museums (GLAM) sector and academia to explore the methods used to create, visualise and analyse digital archives and collections. The curriculum will be structured around the digital collections and archives pipeline, covering the general principles and applied practices involved in the generation, exploration, visualisation, analysis and preservation of digital collections and archives.

Please note, there is also an in person Cultural Heritage Data School programmed for March 2023 in Cambridge (UK), and you are welcome to apply to both:

https://www.cdh.cam.ac.uk/events/35485/


When and Where

This school will be held online: 12–16 December 2022. Data School live sessions are timetabled between 11am–4pm (GMT). To convert this to your timezone you can use this Time Zone Converter.

During the course you will be provided with links to our virtual learning environment (Moodle) where we will publish course content and links to our online video delivery platform for teaching and social interactions.

This upcoming online version will run for one week instead of two, as in previous iterations of online Cultural Heritage Data Schools during the pandemic, but the amount of instruction is similar. An in-person Cultural Heritage Data School is also scheduled for March 2023, and those interested in attending under that format will be welcome to apply once the application process opens (though please note, content and fees will differ).


Fees

Cambridge Digital Humanities is committed to democratising access to digital methods and tools and is offering the following subsidised participation fees to encourage applications from those who do not normally have access to this type of training. The fees include all teaching costs.

  • £245 (Standard Rate)
  • £45* (Concessionary Rate)

*Concessionary rate is for those who cannot pay the standard rate, or whose institutions cannot cover the fee. This might include: students, unemployed, community projects, unfunded projects, and Global South residents.

In addition, a small number of bursaries are available to those who can demonstrate financial need. You can apply for this on the application form.

The deadline for payment is two weeks before the start of the School.


Requirements

The Cambridge Data Schools are competitive and application-only schools. Places are given to those who we feel can make best use of the classes.

No previous experience of coding is required and there are no specific academic requirements, however the course content is broadly suitable for those with an undergraduate degree or equivalent professional experience. The School is taught in English. You will need a reliable internet connection to join in, and the ability to download free, open software for use during the School.

We accept applications from everyone, active members of the GLAM sector, academics, students, and so on. We are committed to facilitate participation by women, black and minority ethnic candidates as they have historically been under-represented in the technology and data science sector. We also welcome applications from outside the UK, assuming they can attend the live workshop slots during 11am-4pm GMT. Sessions will not be recorded and therefore live attendance is required.


Teaching

The teaching team includes:

Sessions will include live-taught instruction, demonstrations and discussions online, with access to self-paced study materials and support via email-based discussion groups between sessions. Participants will need a laptop or desktop computer and internet access to participate in the sessions. Some sessions will require software installation – full instructions will be provided but please ensure you have access rights to install software on the device you will be using.


How to apply

Applications have now closed.

Fill in the application form by 15 November 2022. You will hear whether your application was successful or not by 21 November 2022.

The Cultural Heritage Data School is application-only with limited places. During your application you should make best use of the free text sections to explain your current experience, and what you would get out of attending the School.


Contact

dataschool@cdh.cam.ac.uk

Programme

Monday 12 December, 1:35–2:00pm

Introduction and welcome

with Dr Anne Alexander and Dr Irving Huerta

This session will include a short presentation about CDH, a Q & A session and introductions.

Monday 12 December, 2:00–3:00pm

Session 1: Digital Research Design and the Project lifecycle

with Dr Anne Alexander

This introductory module 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. We will discuss the importance of documentation of data provenance, look at the practical and ethical challenge of common methods used for bulk data capture including use of APIs and working with data collected by others. The second session in the module will introduce the data-cleaning tool OpenRefine and a set of

Monday 12 December, 3:15–4:15pm

Session 2: (Workshop Module) Networks in Correspondence Collections

with Hugo Leal

12 & 15 December

Correspondence collections are a unique window into the personal history of influential thinkers but also an opportunity to make sense of their broader social networks. With the digitisation and encoding of personal letters, researchers and GLAM sector professionals have at their disposal a wealth of relational data, which can be explored using social network theory, visualisation and analysis. This session will introduce and demonstrate the foundational concepts, methods and tools of social network analysis in historical documents using datasets from the Darwin Correspondence Project. Topics covered will include: preparation and transformation of text encoded (.xml) files for analysis with an open-source data wrangler; and network visualisations using open-source Social Network Analysis tools. No prior knowledge of programming is required, instructions on software to install will be sent out before the session

Tuesday 13 December, 11:00am–12:00pm

Discussion Group: Social Media and/as Archives

Tuesday 13 December, 1:00–2:00pm

Discussion Group: Machine Learning for Collections

Tuesday 13 December, 2:00–3:00pm

Session 3: Principles of GLAM imaging

with Maciej Pawlikowski

This session will cover learning about principles of archival imaging standards and practical approach to taking images fit for project purpose. It will provide the participants with the basic vocabulary and understanding of methodological approach to digitisation applicable to any project. It may also address any more advanced imaging topics such as image stitching, Optical Character Recognition, Multispectral Imaging or Photogrammetry if these are in the interest of the participants.

Tuesday 13 December, 3:15–4:15pm

Session 4: (Workshop Module) Digital text markup and TEI I

with Huw Jones and Yasmin Faghihi

13 & 14 December

The TEI (Text Encoding Initiative https://tei-c.org/) is a standard for the transcription and description of text bearing objects, and is very widely used in the digital humanities – from digital editions and manuscript catalogues to text mining and linguistic analysis. This module  will take you through the basics of the TEI – what it is and what it can be used for – with a particular focus on uses in research, paths to publication (both web and print) and the use of TEI documents as a dataset for analysis. There will be a chance to create some TEI yourself as well as looking at existing projects and examples. The module will take place over two sessions – with an introductory taught session, then a chance to work on TEI records yourself, followed by a review and discussion session.

Wednesday 14 December, 2:00–3:00pm

Session 5: (Workshop Module) Digital text markup and TEI II

with Huw Jones and Yasmin Faghihi

13 & 14 December

The TEI (Text Encoding Initiative https://tei-c.org/) is a standard for the transcription and description of text bearing objects, and is very widely used in the digital humanities – from digital editions and manuscript catalogues to text mining and linguistic analysis. This module  will take you through the basics of the TEI – what it is and what it can be used for – with a particular focus on uses in research, paths to publication (both web and print) and the use of TEI documents as a dataset for analysis. There will be a chance to create some TEI yourself as well as looking at existing projects and examples. The module will take place over two sessions – with an introductory taught session, then a chance to work on TEI records yourself, followed by a review and discussion session.

Wednesday 14 December, 3:15–4:15pm

Discussion Group – Compatibility in Data Creation and Use

Wednesday 14 December, 4:15–5:45pm

(Public Workshop) With the (Anti)Colonial Archives Working Group

Thursday 15 December, 1:00–2:00pm

Trouble Shooting Drop-In Session

Thursday 15 December, 2:00–3:00pm

Session 6: (Workshop Module) Networks in Correspondence Collections

with Hugo Leal

12 & 15 December 2022

Correspondence collections are a unique window into the personal history of influential thinkers but also an opportunity to make sense of their broader social networks. With the digitisation and encoding of personal letters, researchers and GLAM sector professionals have at their disposal a wealth of relational data, which can be explored using social network theory, visualisation and analysis. This session will introduce and demonstrate the foundational concepts, methods and tools of social network analysis in historical documents using datasets from the Darwin Correspondence Project. Topics covered will include: preparation and transformation of text encoded (.xml) files for analysis with an open-source data wrangler; and network visualisations using open-source Social Network Analysis tools. No prior knowledge of programming is required, instructions on software to install will be sent out before the session

Thursday 15 December, 3:15–5:15pm

Session 7: (Workshop Module) Tools for Incorporating and Engaging with 3D Content (Morphosource, SketchFab) 

with Andy Corrigan

15 December

The materiality of our collections is often overlooked by digitisation, which can remove the sensations of touch, smell and sound. Limiting the data we present to simple flat image and text formats impedes our ability to engage fully with our objects, no matter how flat you think they are. But the complexity of 3D imaging techniques can be a daunting minefield. In this module, we’ll first explore some of the different modalities such as RTI (reflectance transformation imaging), CT Scanning and photogrammetry. Hosting these digital objects so that users can find and engage with them is the next step, and we’ll take a look at two different platforms – Sketchfab (https://sketchfab.com/) and MorphoSource (https://www.morphosource.org/). Finally, we’ll discover how interoperability can enable us to engage users with complex imaging data and explore some ongoing initiatives that will help you keep an eye on developments in this fast-paced area. We’ll be using past and live projects as case studies such as the Dimensions of Darwin initiative (https://www.cdh.cam.ac.uk/media/blog/dimensions-of-darwin/), and after the session, you will have the opportunity to go away and create your own virtual story using mixed digital media using the Exhibit.so platform (https://www.exhibit.so/).

Friday 16 December, 12:30–1:15pm

Session 8: Automating the Archive: From Card Catalogues to Computer Bots

with Dr Siddharth Soni

14 December

Archive is, after all, a technology. Its methods and processes are designed to record and preserve experiential memory into matter. As archivists and knowledge-workers, we engage with the technology behind the archive all the time. In this lecture, I explore some of these technologies, from card catalogues to computer bots. I examine their origins in war-time bureaucracy, and their basis in colonial conceptions of social memory, governmentally, and rule.

Friday 16 December, 1:15–1:45pm

Discussion Group – The Politics of the Automated Archive

Friday 16 December, 2:00–3:00pm

Discussion Group – Digital Image Curation

Friday 16 December, 3:15–4:15pm

Session 9: Closing plenary, presentations and next steps

Discussion Groups

We will have four interactive discussion groups on relevant themes of interest to the GLAM sector today, such as compatibility in data creation, post-colonial archives, and image analysis. Each discussion group will have a chair, who would be in charge of semi-structuring the discussion around the most important points of the theme in question. These sessions are meant to be horizontal spaces, where academics and members of the industry bring ideas and extant problems in their worn institutions, with the aim of finding people in similar circumstances, possible routes, and even answers during the conversations that will take place in these discussion groups. The themes will be:

  • Social Media as Archives
  • Machine Learning for Collections
  • The Politics of the Automated Archive
  • Digital Image Curation

Cambridge Digital Humanities

Tel: +44 1223 766886
Email enquiries@crassh.cam.ac.uk