I’ve uploaded my presentation slides from a talk for the UK MultiMimsy Users group in Docklands last month to MultiMimsy database extractions and the possibilities for OAI-based collections repositories at the Museum of London.
The first part discusses how to get from a set of data in a collections management system to a final published website, looking at the design process and technical considerations. Willoughby’s use of Oracle on the back-end means that any ODBC-compliant database can query the underlying database and extract collections data.
The paper then looks at some of the possibilities for the Museum of London’s OAI-PMH repository. We’ve implemented an OAI repository for the People’s Network Discover Service (PNDS) for Exploring 20th Century London (which also means we’re set to get records into Europeana), but I hope that we can use the repository in lots of other ways, including the possibility of using our repository to serve data for federated searches.
There’s currently some discussion internationally in the cultural heritage sector about repositories vs federated search, but I’m not sure it’s an either/or choice. The reasons each are used are often to do with political or funding factors instead of the base technology, but either method, or both, could be used internally or externally depending on the requirements of the project and institution.
I can go into more detail about the scripts we use to extract data from MultiMimsy or send sample scripts if people are interested. They might be a good way to get started if you haven’t extracted data from MultiMimsy before but they won’t generally be directly relevant to your data structres as the use of MultiMimsy can vary so widely between types of museums, collections and projects.
ORE (a specification for ‘Object Reuse and Exchange’) is one of those things I always mean to investigate but never quite find time to look into. This post, The Vision of ORE, makes a convincing case for investigating ORE sooner rather than later, as it “tries to map the true nature of contemporary scholarship onto the web” and “attempts to shift the focus from repositories for scholarship to the complex products of scholarship themselves”.
This scholarship cannot be contained by web pages or PDFs put into an institutional repository, but rather consists of what the ORE team has termed “aggregates,” or constellations of digital objects that often span many different web servers and repositories. For instance, a contemporary astronomy article might consist of a final published PDF, its metadata (author, title, publication info, etc.), some internal images, and then—here’s the important part—datasets, telescope imagery, charts, several publicly available drafts, and other matter (often held by third parties) that does not end up in the PDF. Similarly, an article in art history might consist of the historian’s text, paintings that were consulted in a museum, low-resolution copies of those paintings that are available online (perhaps a set of photos on Flickr of the referenced paintings), citations to other works, and perhaps an associated slide show.
By forging semantic links between pieces entailed in a work of scholarship it keeps those links active and dynamic and allows for humans, as well as machines that wish to make connections, to easily find these related objects. It also allows for a much better preservation path for digital scholarship because repositories can use ORE to get the entirety of a work and its associated constellation rather than grabbing just a single published instantiation of the work.
The implementation of ORE is perhaps less commonsensical for those who do not wish to dive into lots of semantic web terms and markup languages, but put simply, the approach the ORE group has taken is to provide a permanent locator (i.e., a URI, like a web address) that links to what they call a “resource map,” which in turn describes an aggregation.
There has been much talk recently of the social graph, the network of human connections that sites like Facebook bring to light and take advantage of. If widely adopted, ORE could help create the scholarly graph, the networked relations of scholars, publications, and resources.