my twitter infographic

my twitter infographicIt’s a mashup of two of my favorite things — data visualization and social media. Of course I’m going to make one.

The interesting thing is that for some reason I come across as a gamer according to the algorithms. Unless you count solitaire, sudoku, and Words with Friends, I’m not really a gamer at all. The PS2, games, and accessories I bought from my sister last November that is are sitting in a corner unassembled are also a testament to how little I game.

Anyway, click on the image to get the full-sized view, and if you make your own, be sure to share the link in the comments.

ER&L 2010: Where are we headed? Tools & Technologies for the future

Speakers: Ross Singer & Andrew Nagy

Software as a service saves the institution time and money because the infrastructure is hosted and maintained by someone else. Computing has gone from centralized, mainframe processing to an even mix of personal computers on an networked enterprise to once again a very centralized environment with cloud applications and thin clients.

Library resource discovery is, to a certain extent, already in the cloud. We use online databases and open web search, WorldCat, and next gen catalog interfaces. The next gen catalog places the focus on the institution’s resources, but it’s not the complete solution. (People see a search box and they want to run queries on it – doesn’t matter where it is or what it is.) The next gen catalog is only providing access to local resources, and while it looks like modern interfaces, the back end is still old-school library indexing that doesn’t work well with keyword searching.

Web-scale discovery is a one-stop shop that provides increased access, enhances research, and provides and increase ROI for the library. Our users don’t use Google because it’s Google, they use it because it’s simple, easy, and fast.

How do we make our data relevant when administration doesn’t think what we do is as important anymore? Linked data might be one solution. Unfortunately, we don’t do that very well. We are really good at identifying things but bad at linking them.

If every component of a record is given identifiers, it’s possible to generate all sorts of combinations and displays and search results via linking the identifiers together. RDF provides a framework for this.

Also, once we start using common identifiers, then we can pull in data from other sources to increase the richness of our metadata. Mashups FTW!

IL2009: Mashups for Library Data

Speakers: Nicole Engard

Mashups are easy ways to provide better services for our patrons. They add value to our websites and catalogs. They promote our services in the places our patrons frequent. And, it’s a learning experience.

We need to ask our vendors for APIs. We’re putting data into our systems, so we should be able to get it out. Take that data and mash it up with popular web services using RSS feeds.

Yahoo Pipes allows you to pull in many sources of data and mix it up to create something new with a clean, flow chart like interface. Don’t give up after your first try. Jody Fagan wrote an article in Computers in Libraries that inspired Engard to go back and try again.

Reading Radar takes the NYT Bestseller lists and merges it with data from Amazon to display more than just sales information (ratings, summaries, etc.). You could do that, but instead of having users go buy the book, link it to your library catalog. The New York Times has opened up a tremendous amount of content via APIs.

Bike Tours in CA is a mashup of Google Maps and ride data. Trulia, Zillow, and HousingMaps use a variety of sources to map real estate information. This We Know pulls in all sorts of government data about a location. Find more mashups at ProgrammableWeb.

What mashups should libraries be doing? First off, if you have multiple branches, create a Google Maps mashup of library locations. Share images of your collection on Flickr and pull that into your website (see Access Ceramics), letting Flickr do the heavy lifting of resizing the images and pulling content out via machine tags. Delicious provides many options for creating dynamically updating lists with code snippets to embed them in your website.

OPAC mashups require APIs, preferably those that can generate JavaScript, and finally you’ll need a programmer if you can’t get the information out in a way you can easily use it. LexisNexis Academic, WorldCat, and LibraryThing all have APIs you can use.

Ideas from Librarians: Mashup travel data from circulation data and various travel sources to provide better patron services. Grab MARC location data to plot information on a map. Pull data about media collection and combine it with IMDB and other resources. Subject RSS feeds from all resources for current articles (could do that already with a collection of journals with RSS feeds and Yahoo Pipes).

Links and more at her book website.