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Saturday 12 November 2016

The hunt for data

Our most recent sessions in the always intriguing Digital Information and Technologies (DITA) module have continued our study of how the outpouring of digital information in our society today is stored, described, structured, managed and shared. What is usually the natural, unthinking act of hunting for that simple something online – presidential election coverage, latest cricket scores, the location of that particular book – has been taken apart piece by piece.

Our look under the bonnet of information retrieval is taking us places one step (or more) back from what the average user in the modern digital environment would confront. Even this simple blog post, as I write it now, has a different interface from the one in which you are reading it. I can add the metadata through labels (listed below), see the coding around italicised fonts, and add details about location. In DITA we have looked at the ways data can be organised and made accessible online, and the rise of linked data and the semantic web through RDF, the resource description framework.

It is, it must be said, a world of many initialisms. The data file formats CSV (comma separated value) and TSV (tab separated value), DCMI (Dublin Core Metadata Initiative, a vocabulary of terms used to describe web resources making them easier to find), URIs (unique resource identifiers, which identify the name of a web resource), SQL (Structured Query Language, the standard language for relational database management systems), and APIs (Application Programming Interfaces, which hide the complexities of a system so that third parties can build on and develop applications). QEI: quite enough initialisms.

In the circular way that this course often throws up (the problems of getting information about getting information, to put it crudely), the session Searching for the Data was of immediate practical interest. Instead of the default course of action of resorting immediately to a simple Google search, it armed us with more focused and nuanced ways of revealing the data that we are looking for, and even what we didn't know we were looking for. With December approaching and four assessments to be completed by early in the new year, these are practical information retrieval skills that will be tried and tested in the weeks to come as we hunt for the books and journal articles that will help us on our way.

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