Unit 4: Tools supporting datafication

Abstract:

This unit introduces practical approaches towards datafication, i.e. institutional practices which help to manage better datasets and produce resources allowing the application of data mining.

Brief description of content:

Tools improving the management of datasets
Tools allowing to create new datasets and objects allowing analysis
Examples from GLAM labs

Learning objectives:

To provide examples of specific tools and techniques which help to increase the level of datafication in CHOs.
To expand the thinking of participants into adding datafication activities into the digital strategy.

Case Studies:

https://enslaved.org/data/ is a set of web resources which bring together datasets related to slavery. Choose one resource to explore and have a look at its visualisation. How much information you can discover on the procedures for collecting and encoding data within the chosen example?

Media used:

Video with prerecorded presentation.

The presentation in powerpoint will also be available.

Suggestions for further reading:

50 things you can do. Collections as data. Available on https://collectionsasdata.github.io/fiftythings/

Training on IIIF (tutorial, 2018). https://training.iiif.io/iiif-5-day-workshop/

Van den Heuvel, H., Calamai, S.. Corti, L. (2017). Retrieving Text from Spoken Data. Version 1.0.0. DARIAH Teach. [Video]. https://teach.dariah.eu/mod/page/view.php?id=687

Activities	Video Lessons
You have many ideas now how cultural heritage institutions develop their digital content and services. In this part of the module we will give an overview on simple practical tools which help to provide more datasets and digital objects allowing to be analysed based on your digital content. Watch this video.	Video number 6
Let’s reflect on what you just learned! Which of the discussed tips for datafication would be most useful in your institution? Select the three most prominent ones. Explore the topic suggested for the Datafication Workshop in 2020. Pick one of these topics and list three aspects in which it resonates with the work of your institution. Hansson, K., Cerratto Pargman, T., Dahlgren, A. (2020): Datafication and cultural heritage: provocations, threats, and design opportunities. In: Proceedings of the 18th European Conference on Computer-Supported Cooperative Work: The International Venue on Practice-centred Computing an the Design of Cooperation Technologies – Workshop Proposals, Reports of the European Society for Socially Embedded Technologies.
Case study. https://enslaved.org/data/ is a set of web resources which bring together datasets related to slavery. Choose one resource to explore and have a look at its visualisation. How much information you can discover on the procedures for collecting and encoding data within the chosen example?
Are you interested to discover more on this topic? Here are some useful links. The first one offers a selection of 50 tips and techniques to manage and create datasets based on digital cultural resources. The second one is specifically on the retrieval of data from spoken materials. The third one is a comprehensive tutorial on IIIF, a set of standards which improves the accessibility to digital content. 50 things you can do. Collections as data. Available on https://collectionsasdata.github.io/fiftythings/ Van den Heuvel, H., Calamai, S.. Corti, L. (2017). Retrieving Text from Spoken Data. Version 1.0.0. DARIAH Teach. [Video]. https://teach.dariah.eu/mod/page/view.php?id=687 Training on IIIF (2018). https://training.iiif.io/iiif-5-day-workshop/