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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.

At Crossref, we’re committed to providing a simple, usable, efficient and scalable web-based tool for registering content by manually making deposits of, and updates to, metadata records. Last year we launched Metadata Manager in beta for journal deposits to help us explore this further. Since then, many members have used the tool and helped us better understand their needs.

Detective Matcher stopped abruptly behind the corner of a short building, praying that his loud heartbeat doesn’t give up his presence. This missing DOI case was unlike any other before, keeping him awake for many seconds already. It took a great effort and a good amount of help from his clever assistant Fuzzy Comparison to make sense of the sparse clues provided by Miss Unstructured Reference, an elegant young lady with a shy smile, who begged him to take up this case at any cost.

Our paper, Crossref: the sustainable source of community-owned scholarly metadata, was recently published in Quantitative Science Studies (MIT Press). The paper describes the scholarly metadata collected and made available by Crossref, as well as its importance in the scholarly research ecosystem.

Over the past few years, I’ve been really interested in seeing the breadth of uses that the research community is finding for the Crossref REST API. When we ran Crossref LIVE Kyiv in March 2019, Serhii Nazarovets joined us to present his plans for the Open Ukrainian Citation Index, an initiative he explains below. But first an introduction to Serhii and his colleague Tetiana Borysova. Serhii Nazarovets is a Deputy Director for Research at the State Scientific and Technical Library of Ukraine.

The first version of our metadata input schema (a DTD, to be specific) was created in 1999 to capture basic bibliographic information and facilitate matching DOIs to citations. Over the past 20 years the bibliographic metadata we collect has deepened, and we’ve expanded our schema to include funding information, license, updates, relations, and other metadata. Our schema isn’t as venerable as a MARC record or as comprehensive as JATS, but it’s served us well.

We’ve all been subject to floods of conference invitations, it can be difficult to sort the relevant from the not-relevant or (even worse) sketchy conferences competing for our attention. In 2017, DataCite and Crossref started a working group to investigate creating identifiers for conferences and projects. Identifiers describe and disambiguate, and applying identifiers to conference events will help build clear durable connections between scholarly events and scholarly literature. Chaired by Aliaksandr Birukou, the Executive Editor for Computer Science at Springer Nature, the group has met regularly over the past two years, collaborating to create use cases and define metadata to identify and describe conference series and events.

This month we have officially released a new version of our input metadata schema. As well as walking through the latest additions, I’ll also describe here how we’re starting to develop a new streamlined and open approach to schema development, using GitLab and some of the ideas under discussion going forward.

Human intelligence and curiosity are the lifeblood of the scholarly world, but not many people can afford to pursue research out of their own pocket. We all have bills to pay. Also, compute time, buildings, lab equipment, administration, and giant underground thingumatrons do not come cheap. In 2017, according to statistics from UNESCO, $1.7 trillion dollars were invested globally in Research and Development. A lot of this money comes from the public - 22c in every dollar spent on R&D in the USA comes from government funds, for example.

The Open Funder Registry plays a critical role in making sure that our members correctly identify the funding sources behind the research that they are publishing. It addresses a similar problem to the one that led to the creation of ORCID: researchers’ names are hard to disambiguate and are rarely unique; they get abbreviated, have spelling variations and change over time. The same is true of organizations. You don’t have to read all that many papers to see authors acknowledge funding from the US National Institutes of Health as NIH, National Institutes for Health, National Institute of Health, etc.