Half-baked idea time. Thinking about projects such as the Earth Microbiome Project and Genomic Observatories, the recent GBIC2012 meeting (I'm still digesting that meeting), and mulling over the book A Vast Machine I keep thinking about the possible parallels between climate science and biodiversity science.
Next week I'm in Copenhagen for GBIC, the Global Biodiversity Informatics Conference. The goal of the conference is to: The collaboration referred to is the agreement to mobilise data and informatics capability to met the Aichi Biodiversity Targets. I confess I have mixed feelings about the upcoming meeting. There will be something like 100 people attending the conference, with backgrounds ranging from pure science to intergovernmental policy.
Anyone who works with taxonomic databases is aware of the fact that they have errors. Some taxonomic databases are restricted in scope to a particular taxon in which one or more people have expertise, these then get aggregated into larger databases, which may in turn be aggregated by databases whose scope is global. One consequence of this is that errors in one database can be propagated through many other databases.
In response to Rutger Vos's question I've started to add GBIF taxon ids to the iPhylo Linkout website. If you've not come across iPhylo Linkout, it's a Semantic Mediawiki-based site were I maintain links between the NCBI taxonomy and other resources, such as Wikipedia and the BBC Nature Wildlife finder. For more background see Page, R. D. M. (2011). Linking NCBI to Wikipedia: a wiki-based approach. PLoS Currents, 3, RRN1228.
This post arose from an ongoing email conversation with Tony Rees about extracting and annotating taxonomic names. In BioStor I use the GBIF classification to display the taxonomic names found in the OCR text in the form of a tree. The idea is to give the reader a sense of "what the paper is about". I also use the classification to help link to GBIF occurrence records.
When I think of the Biodiversity Heritage Library (BHL) or GBIF I tend to think of taxonomy and biodiversity. Folk wisdom has it that BHL is full of old books, mostly pre-1923. Great for finding old taxonomic names, or nice artwork, but not exactly "modern" biology. GBIF is mainly about displaying organism distributions based on museum specimens, the primary data of taxonomic research.
One reason I'm pursuing the theme of specimen identifiers (and identifiers in general) is the central role they play in annotating databases. To give a concrete example, I (among others) have argued for a wiki-style annotation layer on top of GenBank to capture things such as sequencing errors, updated species names, etc. Annotation is a lot easier if we have consistent identifiers for the things being annotated.
Brief update on yesterday's post about finding specimens in BioStor. BioStor has some 66,000 articles from BHL, from which I've extracted 143,000 cases of a specimen code being cited in the text. Of these 143,000 occurrences, 81,000 have been matched to an occurrence in GBIF.
Following on from exploring links between GBIF and GenBank here I'm going to look at links between GBIF and the primary literature, in this case articles scanned by the Biodiversity Heritage Library (BHL). The OCR text in BHL can be mined for a variety of entities. BHL itself has used uBio's tools to identity taxonomic names in the OCR text, and in my BioStor project I've extracted article-level metadata and geographic co-ordinates.
