One of the challenges that we face in Labs and Research at Crossref is that, as we prototype various tools, we need the community to be able to test them. Often, this involves asking for deposit to a different endpoint or changing the way that a platform works to incorporate a prototype.
The problem is that our community is hugely varied in its technical capacity and level of ability when it comes to modifying their platform.
When each line of code is written it is surrounded by a sea of context: who in the community this is for, what problem we’re trying to solve, what technical assumptions we’re making, what we already tried but didn’t work, how much coffee we’ve had today. All of these have an effect on the software we write.
By the time the next person looks at that code, some of that context will have evaporated.
It turns out that one of the things that is really difficult at Crossref is checking whether a set of Crossref credentials has permission to act on a specific DOI prefix. This is the result of many legacy systems storing various mappings in various different software components, from our Content System through to our CRM. To this end, I wrote a basic application, credcheck, that will allow you to test a Crossref credential against an API.
Subject classifications have been available via the REST API for many years but have not been complete or reliable from the start and will soon be deprecated. dfdfd
The subject metadata element was born out of a Labs experiment intended to enrich the metadata returned via Crossref Metadata Search with All Subject Journal Classification codes from Scopus. This feature was developed when the REST API was still fairly new, and we now recognize that the initial implementation worked its way into the service prematurely.
Test out the early preview of Event Data while we continue to develop it. Share your thoughts. And be warned: we may break a few eggs from time to time!
Chicken by anbileru adaleru from the The Noun Project
Want to discover which research works are being shared, liked and commented on? What about the number of times a scholarly item is referenced? Starting today, you can whet your appetite with an early preview of the forthcoming Crossref Event Data service. We invite you to start exploring the activity of DOIs as they permeate and interact with the world after publication.
But first, a bit of background
Discussion around scholarly research increasingly occurs online after publication, for example on blogs, sharing services, social media, and wikis. These ‘events’ occur across the web on numerous platforms and are a critical part of the scholarly enterprise. We are developing an infrastructure service (Crossref Event Data) that collects, stores, and delivers raw data of the events occurring with Crossref DOIs. We will store the data in an open, auditable and portable form for the community to access. Publishers, platforms, funders, bibliometricians and service providers may benefit from access to this raw data, and it can be used to feed into research records or proprietary tools and services that offer aggregation and analysis.
Developers Martin Fenner (DataCite) and Joe Wass (Crossref) enjoy a tofu break
Lagotto, the software originally developed at PLOS, has been extended and improved in a joint effort between DataCite and Crossref. The two DOI Registration Agencies have partnered to envision, build and release the service. On the 13th of April, after a year ofcollaboration, we jointly released Lagotto 5.0. You can read about the collaboration on the DataCite blog post.
Crossref and DataCite will continue to work closely together to develop Lagotto and the Event Data service. Although Crossref Event Data has mostly Crossref DOIs at launch, you will be able to find DataCite DOIs if they are cited in Crossref or Wikipedia.
All of the software that runs Event Data, including Lagotto, is developed in the open and is open source. Please refer to the Crossref Event Data Technical User Guide for full details.
Preview the data
This service is currently under development with a full launch expected the second half of 2016. Before it is launched however, we invite you to take a look around and preview a subset of the data sources we plan to include. You may experience occasional hiccups while we continue building the service.
At this stage, we are working with data from three sources although we will greatly expand the variety of platforms from which we collect data as development progresses. At this stage, you can view Mendeley bookmarks, Wikipedia references, and Crossref to DataCite links.
Mendeley
Mendeley is a reference manager and academic social network for scholars. View the number of social bookmarks from scholars or groups on Mendeley.
Wikipedia is an online encyclopaedia, the Internet’s largest and most popular general reference work. View references in Wikipedia of Crossref publications in Wikipedia articles in all languages.
DataCite is a global consortium that assigns DOIs to research data. This enables people to find, share, use, and cite data. You can view all the data citations to DataCite research outputs found in Crossref publications (work is underway to make the links found in DataCite metadata available in Event Data).
This service is currently under development and as such we welcome your thoughts and feedback on the data we are collecting currently from our three active sources. As a reminder, we expect to include the following sources as part of our full service launch later this year (pending confirmation):
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We’re also on the lookout for new data sources to investigate for future inclusion in the Event Data service so please do get in touch with requests and recommendations. As we continue to build the service throughout 2016, we will be committing to a model of continuous development so that we can make new sources available as they are completed.
Watch this blog for regular updates on our progress, or subscribe to receive new blog posts by email (just add your details to the upper right side of this page).