XML on Crossref

Crossref & the Art of Cartography: an Open Map for Scholarly Communications

Jennifer Lin — Fri, 08 Jan 2016 00:00:00 +0000

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.

If research builds on what came before, one could claim that the process of knowledge production is partly the story of the very relationships between results disseminated (i.e., publications). So let’s consider each publication as a node in a graph where each has a coordinate and is connected by its citations to other publications (as well those that cite it). Additionally, each is associated with a set of people and places, along with a whole host of elements involved in the research and dissemination process.

But take a wider berth, and we begin to capture relationships between all such contributing agents and objects involved in the research process. Here we find an array of entities belonging to the scholarly graph, including different types of research artifacts, publisher and journal, funders, ORCIDs, peer reviews, publication status updates (corrections, retractions, etc.), citations, license information, additional URLs (machine destinations, hosting platforms, etc.), underlying data, software and protocols, materials, discussions and blog posts, recommendations, reference work mentions, etc. The entities on the graph multiply at an even higher rate as researchers share more outputs across more channels. And over time, the graph expands exponentially, producing a webbing that is far more dense and far more vast than we can currently imagine. Perhaps even to the point we realize Borges’ story where a cartographer builds a map so large it replicates the territory itself (On Exactitude in Science)!

From graph to cartography

At the heart of Borges’s poignant story is the map. Crossref’s graph of scholarly communications could be seen in the same light. It has a representational aspect, which is not purely abstract and can be visualized. Here, a map becomes an incredibly potent metaphor. Each link enabled by publisher-deposited metadata is a new street, bridge, or highway that takes us to a particular place (i.e., entity) of interest. These roads lead to articles, researchers, funders, institutions, etc., and in doing so, make them discoverable. They tell a story about the roles of each in the broader research in the landscape dotted with a plethora of places.

The scholarly web has a growing corpus of more than 78 million publications at this very moment registered with Crossref. On average ten to fifteen thousand new objects appear every day. Maps are all the more essential for getting around in a bewildering environment of new and unfamiliar places, even for known ones in areas of exploding growth. They are critical for orienteering, discovering relationships, identifying sets of associated objects, naming new neighborhoods that emerge (i.e., new research specialties), etc. And if each connection on the map is seen as an event, maps can also represent micro-narratives about the research process and the agents involved. A multi-dimensional map containing all these entities, which serves as an evolving representation of spacetime that is constantly updated and always available, would finally begin to depict the process of scholarly activity as a dynamic, evolving, almost living system.

An open map for scholarly communication

Crossref builds such a scholarly map of the research enterprise and makes it openly available for the entire research ecosystem. Call this a meta map or, more recently, call it metastructure. No matter what name it goes by we call it infrastructure at Crossref.

Crossref’s open map for scholarly communications is a core part of the open information infrastructure for scholarly research. Crossref map data are open, portable, as well as licensed and provisioned for maximum reuse to serve the whole community. This open resource has two entrances: one for humans, another for machines. The Crossref REST API enables machines to traverse this environment and mine it in equal measure to the humans behind them. It is configured so that a robot can learn, a phone can access, and platforms can be built.

OpenStreetMap and Google Maps, both widely used and mature infrastructure maps, are instructive examples when we consider a map of this kind for scholarly communications. Map data can be represented in unlimited ways, depending on any variety of needs and users. Third parties can add content via interactive layers that tell different stories such as health expenditure by country based on GDP and coral reefs at risk. They have a broad base of users across business models from philanthropic services aimed at disaster relief (Refugeemaps.eu) to commercial entities providing drivers with locations on open parking spaces (AppyParking on Google Map, PocketParker on OpenStreetMap). They power platforms and services that build maps for others (MapQuest, MapBox). They have applications far beyond the business of maps. For example, Place picker is a Google Maps widget that supports easy auto-complete the entry of any place or location on a mobile app where typing is a chore. And as far use cases close to home, the two have served as raw data for academic research (ex: workflow for generating multi-agent traffic simulation scenarios, automatic classification of GPS trajectories for transportation modes, etc.).

In kind, the Crossref infrastructure map also supports: the development of any variety of new maps which re-present the data, the makers of map platforms that power the research enterprise, tools that use map data, as well as academic research (bibliometrics). We extract slices of data of common interest from the map and add them as additional layers by which anyone can access and create applications on or across these bands of data:

Contributors (authors, editors, reviewers)
Funding information (funding body, grant number)
Trial & study information (clinical trials registry number, registered report, replication study)
Publication history (versions, updates, revisions, corrections, retractions, dates received/accepted/published)
Peer review (status, type, reviews)
Access indicators (publication license for text & data mining, machine mining URLs)
Resources & associated research artifacts (preprints, figures & tables, datasets, software, protocols, research resource IDs)
Activity surrounding the publication (peer reviews, comments & discussions, bookmarks, social shares, recommendations).

Today, the map powers a host of public and commercial organisations alike for a wide range of scholarly and non-scholarly purposes:

<td style="border: 1px solid #ffffff;">
<ul>
<li>
<span >Indexing services</span>
</li>
<li>
<span >Publishing vendors</span>
</li>
<li>
<span >Peer review systems</span>
</li>
<li>
<span >Reference manager systems</span>
</li>
<li>
<span >Lab & diagnostics suppliers</span>
</li>
<li>
<span >Info management systems</span>
</li>
<li>
<span >Educational tools</span>
</li>
<li>
<span >Data analytics systems</span>
</li>
<li>
<span >Literature discovery services</span>
</li>
</ul>
</td>

Publishers
Funders
Research institutions
Archives & repositories
Research councils
Data centres
Professional networks
Patent offices
Registration Agencies

We will follow up this post to highlight a cross-section of these consumers in the Crossref map ecosystem and elaborate on what & how they have built from our data. An infrastructure map offers endless potential to third parties across publishers, funders, research institutions, and vendors working to serve the scholarly research enterprise.

The art of cartography

In the Crossref Product Management team, we have ambitious plans for map enhancements this year. They focus on expanding information density and ease of access to the data. In the former case, we will introduce a new class of locations where activity surrounding the publications are occurring when we launch the DOI Event Tracker. We will also initiate an extensive publisher campaign to achieve full metadata deposit completeness across our membership. No one can keep pace with the sheer volume of research activity happening online nor wander the Lonely Web of research alone. The more metadata publishers provide for a publication, the more roads lead to its map location. After all, discoverability is closely associated with connectedness on a map. And finally, in the latter case, we will refresh and enhance the user interface to make it more powerful for humans to traverse the ever-changing landscape (as easily as the REST API enables machines!).

I gratefully acknowledge the feedback received from the following who served as generous and insightful sounding boards: Virginia Barbour, Theo Bloom, Martin Eve, Daniel S. Katz, Amye Kenall, Catriona MacCullum, Cameron Neylon, Mark Patterson, Kristen Ratan, Carly Strasser, and Kaitlin Thaney.

Word Add-in for Scholarly Authoring and Publishing

Crossref — Wed, 26 Mar 2008 00:00:00 +0000

Last week Pablo Fernicola sent me email announcing that Microsoft have finally released a beta of their Word plugin for marking-up manuscripts with the NLM DTD. I say “finally” because we’ve know this was on the way and have been pretty excited to see it. We once even hoped that MS might be able to show the plug-in at the ALPSP session on the NLM DTD, but we couldn’t quite manage it.

The plugin is targeted at production/editorial staff, but, of course, it will be interesting to see if any of this work can be pushed back to the author. I won’t hold my breath on the latter score, but it will be fun to watch.

One thing I would note is that the NLM DTD can also be used in the humanities and social sciences, so, frankly, I think they should market it more broadly.

Anyway- the plugin can be downloaded from the Microsoft site.

And Pablo has setup a blog where testers can discuss the add-in.

And there is also an entry for the project on the Microsoft Research site (an interesting place to peruse, if you have a moment).

Congatulations to Pablo and his team.

Added XML format parameter to Crossref’s OpenURL resolver

Chuck Koscher — Wed, 13 Feb 2008 00:00:00 +0000

From the beginning our OpenURL resolver has had a non standard feature of returning metadata in response to a request instead of redirecting to the referrent. This feature returned one of our older XML formats which is a bit limited as to the fields it contains.

Sometime after our resolver was deployed we introduced a more verbose XML format for DOI metadata called ‘UNIXREF”. This was always available to regular queries against the Crossref system but was never introduced to the OpenURL resolver (for no particular reason).

We’ve since learned that some user’s are relying on the OpenURL’s metadata feature to build proper references in situations where they have a DOI and that the older XML format is insufficient. Therefor I’ve added a ‘format’ parameter to our OpenURL resolver which allows one to request the more verbose UNIXREF. (see www.crossref.org/openurl)

As always please feel free to contact us regarding new features or changes to existing features that might be helpful.

Regards,

Chuck

RSC’s Project Prospect v1.1

rkidd — Thu, 31 May 2007 00:00:00 +0000

We updated our Project Prospect articles today to release v1.1, with a pile of look & feel improvements to the HTML views and links. The most interesting technical addition is the launch of our enhanced RSS feeds, where we have updated our existing feeds for enhanced articles. These now include ontology terms and primary compounds both visually (as text terms and 2D images) and within the RDF - using the OBO in OWL representation and the info:inchi specification mentioned here by Tony only a few weeks ago.

The enhanced entries will soon become more common as we concentrate our enhancements on our Advance Articles, but the current example below from our Photochemical and Photobiological Sciences feed is lovely. RDF code after the jump - just as beautiful to the parents…

So the RDF code for the OBO terms and InChIs looks like this:

<tt><br /> <rdf:li><br /> <content:item rdf:about="info:inchi/InChI=1/C20H28O/c1-16(8-6-9-17(2)13-15-21)11-12-19-18(3)10-7-14-20(19,4)5/h6,8-9,11-13,15H,7,10,14H2,1-5H3/b9-6-,12-11+,16-8+,17-13+"/><br /> </rdf:li><br /> <rdf:li><content:item rdf:about="http://purl.org/obo/owl/CL#CL:0000210"/><br /> </rdf:li><br /> </tt>

We now have over five hundred 2007 articles enhanced, so we’ve brought the majority back into controlled access. There are always examples from each journal freely available.

W3C Recs for XML - Eight of ‘Em!

Tony Hammond — Thu, 25 Jan 2007 00:00:00 +0000

Although most folks will already know about this it still seems significant enough to blog the arrival of XQuery 1.0, XSLT 2.0, and XPath 2.0. See the W3C Press Release.

And Just Relax

Tony Hammond — Tue, 28 Nov 2006 00:00:00 +0000

Nice piece of advocacy here by Tim Bray for RELAX. High time to see someone standing up for RELAX - a much friendlier XML schema language.