Data Handling in Electronic Systems – Inspiration for a Paradigm Reassessment

At my library, we’re currently working on a project in conjunction with several other regional knowledge institutions to put online our full collection of historical documents regarding the Civil War in Missouri and Kansas. One piece of functionality we’re creating is a way to visually represent the relationships between people, places, and things within this pool of data. These visualizations are based on a relationship database that we constructed, using a basic semantic structure: “Object A [relationship] Object B” and we can verify this relationship with “Document X”. Thus, for example:

Iskabibble Jones is married to Bridgette Jones and we know this because of information contained in Bridgette’s letter dated …

Only, instead of statements, we represent this all graphically with links to images and documents. It’s a pretty nifty function!

The way we’re building the database for this relationship visualization tool is representative of how online data gets handled in general. It illustrates the fundamental paradigm that has governed computer development from the beginning – and, indeed, the development of mechanized data handling even before the advent of computers.
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Social Web Engagement Metrics

In the world of social web, the idea that page views and visit lengths on a library’s core website are still relevant metrics for measuring patron engagement is outmoded. Yes, there are some pieces of content that require a visitor to spend time on your main site. But increasingly, more of a library’s relevant content is available to people through multiple avenues of engagement, across multiple accounts on multiple platforms – Facebook, Twitter, Flickr, YouTube, etc.

Many libraries, though, still determine their online strategy using page views and visit lengths on their core site as their main data input. There’s still substantial resistance to sending people away from the core library website. This is understandable – we librarians have a hang-up about all the unevaluated and uncurated data “in the wild” out there on the internet; what we present on our library website is known to be high quality and our impulse is to keep people there. Linking visitors to social media sites requires us to give up some control over the quality of their experience… and we don’t like doing that.
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Context Matters!

In library school, we spent a lot of time discussing the nature of data and information, debating the differences and relationships between them. This may seem frivolous to some, but remember that the essence of librarianship is to curate and provide access to quality information in a community. While there are many competing definitions of information, most people are willing to accept some version of this:

Information is data put into context.

It’s the “put into context” part that’s important here – raw data doesn’t really tell us anything in-and-of itself; it must be placed into meaningful context in order to be useful.

Context is everything.
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