Frankfurt Book Fair (#FBM20) will be online this year since people are really not traveling right now. This special edition of #FBM20 will have an extensive digital program in which we will be participating. So you can hang out with us from anywhere in the world!
If you manage a publishing system or workflow, you know how crucial—and how challenging!—it is to have clean, consistent, and comprehensive affiliation metadata. Author affiliations, and the ability to link them to publications and other scholarly outputs, are vital for numerous stakeholders across the research landscape. Institutions need to monitor and measure their research output by the articles their researchers have published. Funders need to be able to discover and track the research and researchers they have supported.
Many researchers want to carry out analysis and extraction of information from large sets of data, such as journal articles and other scholarly content. Methods such as screen-scraping are error-prone, place too much strain on content sites and may be unrepeatable or break if site layouts change. Providing researchers with automated access to the full-text content via DOIs and Crossref metadata reduces these problems, allowing for easy deduplication and reproducibility. Supporting text and data mining echoes our mission to make research outputs easy to find, cite, link, assess, and reuse.
Crossref’s Similarity Check service is used by our members to detect text overlap with previously published work that may indicate plagiarism of scholarly or professional works. Manuscripts can be checked against millions of publications from other participating Crossref members and general web content using the iThenticate text comparison software from Turnitin.
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.
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 is a reference manager and academic social network for scholars. View the number of social bookmarks from scholars or groups on Mendeley.
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).
You can explore the Crossref Event Data early preview by visiting http://eventdata.crossref.org and following the links to featured examples within our interim application for inspecting the data, technical documentation, and our Quick Start guide.
Share your thoughts
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).