Post-launch data sets about harvardopendata.github.io HOT 5 CLOSED

We might want to partner early on with the Linked Data for Libraries (LD4L) project. It would show some of the power of DROID.

https://wiki.duraspace.org/pages/viewpage.action?pageId=41354028

LD4L is a Mellon-funded project from Cornell. The Harvard Library Innovation Lab and Stanford Library are the two invited partners. The aim is to created linked data stores of info useful to researchers, queryable across all three institutions. The data will be the three universities' library catalogs and other swaths of info, including (possibly) faculty info (pubs, topics, partners, etc.), images, archives, and some highly anonymized usage data.

Linking to LD4L should be pretty straightforward since Harvard LibraryCloud's workflow engine will feed the Harvard LD ingestion engine, so if you can identify an object in LibraryCloud, you should be able to point to it in LD4L. At least I hope that's going to be the case, but I am no longer directly involved in the project. (I was the Harvard mgr of it until I left the Lab.)

Paul Deschner has been the lead Harvard dev, with Jonathan Kennedy playing an increasingly important role. Randy Stern is the official manager, I believe. [email protected]. [email protected] [email protected]

The project is 1.4 years into a 2 yr project. Launch is in Dec. 2015.

from harvardopendata.github.io.

I'd like to see data about Harvard's investments in fossil fuels

...then I'd like Harvard to drop all those investments.

Please & thank you :)

from harvardopendata.github.io.

Thanks @drewrwilson! Do you know what data is publicly available about this topic today?

from harvardopendata.github.io.

@nsinai I am not aware of a place to start with this data although I would be interested in the info. Similar to open gov data, starting with the budget is a great idea. eg: What money comes in and from where? What investments exist and what are the details about them? Where is money spent? etc etc

from harvardopendata.github.io.

International stats might be worth considering: http://www.hio.harvard.edu/statistics

from harvardopendata.github.io.