We’ve spent the day in Manchester at the JLeRN ‘hackday’, in which various parties interested in using the Learning Registry gathered together. We were particularly keen to build on our work last week in publishing metadata into the experimental node set up by Mimas, and also to explore the various retrieval services provided. The proposed ENGrich data model depends on known URIs of visual media for Engineering education, as retrieved by the Google CSE. We were initially concerned that the LR ‘slice’ method does not accept URIs as arguments, but during the course of the day, discovered (with the help of the JLeRN team) that the
/obtain?request_id seems to do what we need. Looking forward to testing this in earnest by publishing larger sets of data and mocking up an interface to present retrieved data.
We are indebted to Pat Lockley for providing the PHP code for publishing basic metadata, as it saved us reinventing the wheel.
Well, let’s say 2 hours and 20 minutes, and counting. We’ve installed Python 3.2.2 and Gpg4win 2.1.0 as directed in Learning Registry in 20 Minutes or Less.
- We successfully created the key pair in GPG and put it on our public web server.
- We created our test JSON file, based on the example provided, and edited it using the Quick Reference Guide.
However, when the time comes to “Sign and Save as Local File“, we get an error “No module name bencode“.
Has anyone else has the same problem and been able to find a solution?
Today we’ve started researching the APIs for Google CSE, Flickr and Delicious to see what data we can extract and how they might (or might not) map onto each other. Flickr’s API documentation is very clearly laid out, easy to follow and promises to deliver far more data than we could ever realistically incorporate into ENGrich. Google CSE is a little bit more obtuse, so no doubt we’ll need to work a bit harder to uncover all its secrets!