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STM, DataCite, and Crossref are pleased to announce an updated joint statement on research data. In 2012, DataCite and STM drafted an initial joint statement on the linkability and citability of research data. With nearly 10 million data citations tracked, thousands of repositories adopting data citation best practices, thousands of journals adopting data policies, data availability statements and establishing persistent links between articles and datasets, and the introduction of data policies by an increasing number of funders, there has been significant progress since.

Crossref has decided to change the HTTP redirect code used by our DOIs from 303 back to the more commonly used 302. Our implementation of 303 redirects back in 2010 was based on recommended best practice for supporting linked data identifiers. Unfortunately, very few other parties have adopted this practice.

TL;DR Crossref discourages our members from using DOI-like strings or fake DOIs. Details Recently we have seen quite a bit of debate around the use of so-called “fake-DOIs.” We have also been quoted as saying that we discourage the use of “fake DOIs” or “DOI-like strings”. This post outlines some of the cases in which we’ve seen fake DOIs used and why we recommend against doing so. Using DOI-like strings as internal identifiers Some of our members use DOI-like strings as internal identifiers for their manuscript tracking systems.

It’s here. After years of hard work and with a huge cast of characters involved, I am delighted to announce that you will now be able to instantly link to all published articles related to an individual clinical trial through the Crossmark dialogue box. Linked Clinical Trials are here! In practice, this means that anyone reading an article will be able to pull a list of both clinical trials relating to that article and all other articles related to those clinical trials – be it the protocol, statistical analysis plan, results articles or others – all at the click of a button.

In the 2015 Crossref Annual Meeting, I introduced a metaphor for the work that we do at Crossref. I re-present it here for broader discussion as this narrative continues to play a guiding role in the development of products and services this year.

Metadata enable connections

At Crossref, we make research outputs easy to find, cite, link, and assess through DOIs. Publishers register their publications and deposit metadata through a variety of channels (XML, CSV, PDF, manual entry), which we process and transform into Crossref XML for inclusion into our corpus. This data infrastructure which makes possible scholarly communications without restrictions on publisher, subject area, geography, etc. is far more than a reference list, index or directory.

Publishers, researchers, funders, institutions and technology providers are all interested in better understanding how scholarly research is used. Scholarly content has always been discussed by scholars outside the formal literature and by others beyond the academic community. We need a way to monitor and distribute this valuable information.

photo credit Summary You can use a new Crossref API to query all sorts of interesting things about who funded the research behind the content Crossref members publish. Background Back in May 2013 we launched Crossref’s FundRef service. It can be summarized like this: Crossref keeps and manages a canonical list of Funder Names (ephemeral) and associated identifiers (persistent). We encourage our members (or anybody, really- the list is available under A CC-Zero license waiver) to use this list for collecting information on who funded the research behind the content that our members publish.

Today two new record 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.

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.

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.doi.org/10.1126/science.1157784”