Blog

Event Data is our service to capture online mentions of Crossref records. We monitor data archives, Wikipedia, social media, blogs, news, and other sources. Our main focus has been on gathering data from external sources, however we know that there is a great deal of Crossref metadata that can be made available as events. Earlier this year we started adding relationship metadata, and over the last few months we have been working on bringing in citations between records.

UPDATE August 2, 2021: This work was awarded to Laura Paglione of the Spherical Cow Group.

To date, we have collected around 740 million events from 12 different source since we launched our Event Data service service in 2017. Each event is an online mention of the research associated with a DOI, either via the DOI directly or using the associated URL. However, we know that there is much more out there. Because of this, we would like to explore where we could expand.

Service Providers work on behalf of our members by creating, registering, querying and/or displaying metadata. We rely on this group to support our schema as it evolves, to roll out new and updated services to members and to work closely with us on a variety of matters of mutual interest. Many of our Service Providers have been with us since the early days of Crossref. Others have joined as scholarly communications has grown and services have evolved. Though fewer than 20 in number, their impact far outweighs the size of the group.

Crossref aims to link research together, making related items more findable, increasing transparency, and showing how ideas spread and develop. There are a number of moving parts in this effort: some related to capturing and storing linking information, others to making it available.

By including relationship metadata in Event Data, we are taking a big step to improve the visibility of a large number of links between metadata. We know this is long-promised and we’re pleased that making this valuable metadata available supports a number of important initiatives. We will also be backfilling, so all previously deposited relationships will eventually become available as events. The first step will be to add relationships between items that have DOIs, such as between a research article and a related review report or dataset.

Event Data uncovers links between Crossref-registered DOIs and diverse places where they are mentioned across the internet. Whereas a citation links one research article to another, events are a way to create links to locations such as news articles, data sets, Wikipedia entries, and social media mentions. We’ve collected events for several years and make them openly available via an API for anyone to access, as well as creating open logs of how we found each event. Some organisations are already using Event Data and we are keen for more to come on board.

Crossref has supported depositing metadata for preprints since 2016 and peer reviews since 2018. Now we are putting the two together, in fact we will permit peer reviews to be registered for any record type.

Publisher metadata is one side of the story surrounding research outputs, but conversations, connections and activities that build further around scholarly research, takes place all over the web. We built Event Data to capture, record and make available these ‘Events’ –– providing open, transparent, and traceable information about the provenance and context of every Event. Events are comments, links, shares, bookmarks, references, etc.

This is a long overdue followup to 2016’s “URLs and DOIs: a complicated relationship”. Like that post, this accompanies my talk at PIDapalooza, the festival of open persistent identifiers). I don’t think I need to give a spoiler warning when I tell you that it’s still complicated. But this post presents some vocabulary to describe exactly how complicated it is. Event Data has been up and running and collecting data for a couple of years now, but this post describes changes we made toward the end of 2018.

We’ve been working on Event Data for some time now, and in the spirit of openness, much of that story has already been shared with the community. In fact, when I recently joined as Crossref’s Product Manager for Event Data, I jumped onto an already fast moving train—headed for a bright horizon.

You want to hear more from us. We hear you.

We’ve spent the past year building Crossref Event Data, and hope to launch very soon. Building a new piece of infrastructure from scratch has been an exciting project, and we’ve taken the opportunity to incorporate as much feedback from the community as possible. We’d like to take a moment to share some of the suggestions we had, and how we’ve acted on them.