Over on Google Plus (yeah, me neither) Donat Agosti is giving me a hard time regarding the quality of some data that I am using. I've responded to Donat directly, but here I just want to quickly outline two different approaches to cleaning and reconciling bibliographic metadata.

In an earlier post I discussed using Open Refine (formerly Google Refine) to clean and reconcile taxon names. I've added an additional service that can be used to reconcile author names that uses the Virtual International Authority File (VIAF) API.

On eof the things BioNames will need to do is match taxon names to classifications. For example, if I want to display a taxonomic hierarchy for the user to browse through the names, then I need a map between the taxon names that I've collected and one or more classifications. The approach I'm taking is to match strings, wherever possible using both the name and taxon authority.

Quick note to self about possible way to using fuzzy matching when searching for taxonomic names. Now that I'm using Cloudant to host CouchDB databases (e.g., see BioStor in the the cloud) I'd like to have a way to support fuzzy matching so that if I type in a name and misspelt it, there's a reasonable chance I will still find that name. This is the "did you mean?" feature beloved by Google users.

One thing which has always frustrated me about geophylogenies is how tedious they are to create. In theory, they should be pretty straightforward to generate. We take a tree, get point localities for each leaf in the tree, and generate the KML to display on Google Earth. The tedious part is getting the latitude and longitude data in the right format, and linking the leaves in the tree to the locality data.

Browsing Mendeley I found the following record: http://www.mendeley.com/research/description-larva/. This URL is for a paper which apparently has the DOI doi:10.1645/GE-2580.1. This is strange because Zootaxa doesn't have DOIs. The DOI given resolves to a paper in the Journal of Parasitology : Now, this paper has it's own record in Mendeley. OK, so this is weird..., but it gets weirder.

Some quick half-baked thoughts on citation matching. One of the things I'd really like to add to BioStor is the ability to parse article text and extract the list of literature cited. Not only would this be another source of bibliographic data I can use to find more articles in BHL, but I could also build citation networks for articles in BioStor.

Thinking about next steps for my BioStor project, one thing I keep coming back to is the problem of how to dramatically scale up the task of finding taxonomic literature online. While I personal find it oddly therapeutic to spend a little time copying and pasting citations into BioStor's OpenURL resolver and trying to find these references in BHL, we need something a little more powerful.

Continuing with my exploration of the Biodiversity Heritage Library one obstacle to linking BHL content with nomenclature databases is the lack of a consistent way to refer to the same bibliographic item (e.g., book or journal). For example, the Amphibia Species of the World (ASW) page for Gastrotheca aureomaculata gives the first reference for this name as: Gastrotheca aureomaculata Cochran and Goin, 1970, Bull. U.S. Natl.

In an earlier post I described the TBMap database (doi:10.1186/1471-2105-8-158), which contains a mapping of TreeBASE taxon names onto names in other databases. While this is one step towards making it easier to query TreeBASE, what I'd really like is to link the data in TreeBASE to sources such as GenBank and specimen databases.