We have just released a bunch of new functionality for Crossref Metadata Search. The tool now supports the following features:
A completely new UI Faceted searches Copying of search results as formatted citations using CSL COinS, so that you can easily import results into Zotero and other document management tools An API, so that you can integrate Crossref Metadata Search into your own applications, plugins, etc.
If you’ve ever thought that scholarly citation practice was antediluvian and perverse- you should check-out patents some day.
Over the past year of so Crossref has been working with Cambia and the The Lens to explore how we can better link scholarly literature to and from the patent literature. The first object of our collaboration was to attempt to link patents hosted on the new, beta version of The Lens to the Scholarly literature.
Last year Crossref and DataCite announced support for HTTP content negotiation for DOI names. Today, we are pleased to report further collaboration on the topic. We think it is very important that the two largest DOI Registration Agencies work together in order to provide metadata services to DOI names.
The current implementation is documented in detail at http://citation.crosscite.org/
The documentation explains HTTP content negotiation as implemented by both Registration Agencies and provides a list of supported content types.
Crossref Labs is happy to announce the first public release of “pdf-extract” an open source set of tools and libraries for extracting citation references (and, eventually, other semantic metadata) from PDFs. We first demonstrated this tool to Crossref members at our annual meeting last year. See the pdf-extract labs page for a detailed introduction to this new set of tools.
If you are unable to download and install the tool, you can play with a experimental web interface called “Extracto.” Be warned, Extracto is running on very feeble server using an erratic and slow internet connection. The only guarantee that we can make about using it is that it will repeatedly fall over and annoy you. The weasel has spoken.
PHD Comics has posted its Valentine’s Day Reading list. Without DOIs! So in order to preserve the scholarly citation record, we’ve resolved those that have DOIs…. Title: The St. Valentine’s Day Frontal Passage Citation: Sassen, K, 1980, ‘The St. Valentine’s Day Frontal Passage’, Bulletin of the American Meteorological Society, vol. 61, no. 2, p. 122. Crossref DOI: http://dx.doi.org/10.1175/1520-0477(1980)0612.0.CO;2 Title: SUICIDE AND HOMICIDE ON ST. VALENTINE’S DAY Citation: LESTER, D, 1990, ‘SUICIDE AND HOMICIDE ON ST.
Today two new content types were added to dx.doi.org resolution for Crossref DOIs. These allow anyone to retrieve DOI bibliographic metadata as formatted bibliographic entries. To perform the formatting we’re using the citation style language processor, citeproc-js which supports a shed load of citation styles and locales.
In fact, all the styles and locales found in the CSL repositories, including many common styles such as bibtex, apa, ieee, harvard, vancouver and chicago are supported.
We’ve been asked a few times if it is possible to determine whether or not a particular domain name belongs to a Crossref member. To address this we’re launching another small service that performs something like a “reverse look-up” of URLs and domain names to DOIs and Crossref member status.
The service provides an API that will attempt to reverse look-up a URL to a DOI and return the membership status (member or non-member) of the root domain of the URL.
In April In April for its DOIs. At the time I cheekily called-out DataCite to start supporting content negotiation as well.
Edward Zukowski (DataCite’s resident propellor-head) took up the challenge with gusto and, as of September 22nd DataCite has also been supporting content negotiation for its DOIs. This means that one million more DOIs are now linked-data friendly. Congratulations to Ed and the rest of the team at DataCite.
We hope this is a trend.
Today I’m announcing a small web API that wraps a family name database here at Crossref R&D. The database, built from Crossref’s metadata, lists all unique family names that appear as contributors to articles, books, datasets and so on that are known to Crossref. As such the database likely accounts for the majority of family names represented in the scholarly record.
The web API comes with two services: a family name detector that will pick out potential family names from chunks of text and a family name autocompletion system.
So does anybody remember the posting DOIs and Linked Data: Some Concrete Proposals?
Well, we went with option “D.”
From now on, DOIs, expressed as HTTP URIs, can be used with content-negotiation.
Let’s get straight to the point. If you have curl installed, you can start playing with content-negotiation and Crossref DOIs right away:
curl -D - -L -H “Accept: application/rdf+xml” “http://dx.doi.org/10.1126/science.1157784”
curl -D - -L -H “Accept: text/turtle” “http://dx.