The National Archives is going all tag-arrific on us:

The Online Public Access prototype (OPA) just got an exciting new feature — tagging! As you search the catalog, we now invite you to tag any archival description, as well as person and organization name records, with the keywords or labels that are meaningful to you. Our hope is that crowdsourcing tags will enhance the content of our online catalog and help you find the information you seek more quickly.

Nice! (Hat tip to Infodocket for the tip)

The National Archives is going all tag-arrific on us:

The Online Public Access prototype (OPA) just got an exciting new feature — tagging! As you search the catalog, we now invite you to tag any archival description, as well as person and organization name records, with the keywords or labels that are meaningful to you. Our hope is that crowdsourcing tags will enhance the content of our online catalog and help you find the information you seek more quickly.

Nice! (Hat tip to Infodocket for the tip)

I just wrote up an informal trip report in the form of “take aways” from the LOD-LAM conference I attended a cople of weeks ago. Here is a lightly edited version.

Because it was an unconference, it was too participatory to enable us to take systematic notes. I did, however, interview a number of attendees, and have posted the videos on the Library Innovation Lab blog site. I actually have a few more yet to post. In addition, during the course of one of the sessions (on “Explaining LOD-LAM”), a few of us began constructing a FAQ.

Here’s some of what I took away from the conference.

– There is considerable momentum around linked open data, starting with the sciences where there is particular research value in compiling huge data sets. Many libraries are joining in.

– LOD for libraries will enable a very fluid aggregation of information from multiple types of sources around any particular object. E.g., a page about a Hogarth illustration (or about Hogarth, or about 18th century London, etc.) could quite easily aggregate information from any data set that knows something about that illustration or about topics linked to that illustration. This information could be used to build a page or to do research.

– Making data and metadata available as LOD enables maximal re-use by others.

– Doing so requires expertise, but should be less massively difficult than supporting many other standards.

– For the foreseeable future, this will be something libraries do in addition to supporting more traditional data standards; it will be an additional expense and effort.

– Although there is continuing debate about exactly which license to use when publishing library data sets, it seems that usually putting any form of license on the data other than a public domain waiver of licenses is likely to be (a) futile and (b) so difficult to deal with that it will inhibit re-use of the data, depriving it of value. (See the 4-star license proposal that came out of this conference.)

– The key point of resistance against LOD among libraries, archives and museums is the justified fear that once the data is released into the world, the curating institutions can no longer ensure that the metadata about an object is correct; the users of LOD might pick up a false attribution, inaccurate description, etc. This is a genuine risk, since LOD permits irresponsible use of data. The risk can be mitigated but not removed.

Bing, Google and Yahoo have announced schema.org, where you can find markup to embed in your HTML that will help those search engines figure out whether you’re talking about a movie, a person, a recipe, etc. The markup seems quite simple. But, more important, by using it your page is more likely to be returned when someone is looking for what your page talks about.

Having the Big Three search engines dictating the metadata form is likely to be a successful move. SEO is a powerful motivator.

At the Linked Open Data in Libraries, Archives and Museums conf [LODLAM], Jonathan Rees casually offered what I thought was useful a distinction. (Also note that I am certainly getting this a little wrong, and could possibly be getting it entirely wrong.)

Background: RDF is the basic format of data in the Semantic Web and LOD; it consists of statements of the form “A is in some relation to B.”

My paraphrase: Before LOD, we were trying to build knowledge representations of the various realms of the world. Therefore, it was important that the RDF triples expressed were true statements about the world. In LOD, triples are taken as a way of expressing data; take your internal data, make it accessible as RDF, and let it go into the wild…or, more exactly, into the commons. You’re not trying to represent the world; you’re just trying to represent your data so that it can be reused. It’s a subtle but big difference.

I also like John Wilbanks‘ provocative tweet-length explanation of LOD: “Linked open data is duct tape that some people mistake for infrastructure. Duct tape is awesome.”

Finally, it’s pretty awesome to be at a techie conference where about half the participants are women.