This page gathers and organises the body of knowledge, reflections, and practical work I have generated over the duration of the “Curating Data” course. Its purpose is to present not simply a collection of discrete materials: texts, analyses, assignment - but a coherent, evolving intellectual journey. The curation frames data as not only information, but as meaningful traces of process, interpretation, and context; it reveals how data can be read, interrogated, and re-presented as knowledge. This interpretation also questions data as "raw". As Gitelman and Jackson (2013) remind us, “raw data is an oxymoron”. Data does not simply appear on its own; it is produced through a series of decisions - how it is collected, categorised, and visualised. And as Kitchin said: We should not abandon agreed upon measures, but understand how they are "cooked" (2022).

The materials collected here: from theoretical summaries to analytical exercises - illustrate different ways of engaging with data: as "raw" input, as structured evidence, as narratable story, and as critical object. Together, they show a sort of progression: from initial exposure to methods and concepts, through experimentation, to a more nuanced sense of what it means to “curate data.”

The aim for the page to serve as a personal archive, where I pose as the collector and the bias behind the collection and visualization. Ultimately, this curation underscores the idea that data; when treated with care, contextual awareness, and critical imagination can become a site of meaning, interpretation, and ongoing dialogue.

Curatorial Statement

Aaaall this knowledge!?