Dell Solutions Showcase

These are various ideas to inspire mashups. The first 30 ideas were collected at [Mash Oop North] – hopefully more will be added over time. Feel free to add yours – you never know, someone might just be inspired to do it. Idea #1 – anonymous… :Visual representation of the information cycle from informal creation of ideas, breaking news, pulling in twitter search on topic, through blogs and comments on blogs, wiki articles, before newspaper articles, conference papers, posters and workshops. Move onto database search for journal articles and finally book search in a library catalogue. Pull in library tutorials on evaluating information from all these different sources and the way your keyword searching, tag search may need to change for the different formats Idea #2 – Gill Hamilton (National Library of Scotland)… :To set the scene, two things: :1) I work in a closed stack library. When you order a book, men have to run about in miles of shelves to retrieve it for you, then sendit up to the reading room for you to collect. :2) My library just opened a new Visitor Centre. It has TV screens in it and a Cafe. :My idea is very simple and fuelled by my love of cake and libraries. It is to mash together: :the data we have for how long it takes from point of request to arrival of book in reading room approximately length of time to order coffee and cake at the visitors centre TV schedule = recommendation to customer :i.e. Your book will take 30 mins to arrive. Why not have a coffee and watch The Ashes? :Could be further enhanced with menu from cafe or webcam showing how many slices of cake left (which is never many coz I’ve usually been there first). :Could also be even further enhanced by showing what current issues of journals have arrived in reading room (in case customer has been in coffee shop 4 times today already and is already full of cake) Idea #3 – Owen Stephens (Open University)… :Creating a distributed catalogue and search. Idea is that if thereis a web page per book, you don’t have to keep recataloguing the book but rather just aggregate the web pages that contain the descriptions of all your books. :Create a page or set of pages representing your library stock. The page would consist solely of URLs which point at information about the books you own – these could be Amazon pages, Open Library pages, Worldcat pages, LibraryThing pages etc. It wouldn’t matter you would simply be identifying a page that represented the book you had. :Then use a customised web crawler to crawl, using your list of URLs as a starting point and crawl each of the pages you are pointing at. :Index all the content you have crawled and make the index searchable Idea #4 – Mandy Phillips (Edge Hill University)… :Reading lists – how effective are they? :Can we take data from our reading lists, from our circulation and usage stats, and reviews of items on that list from our students to give us a really rounded three way measurement of how