Blog

It seems like ages ago, particularly given recent events, but we had our first public request for feedback on proposed schema updates in December and January. The feedback we received indicated two big things: we’re on the right track, and you want us to go further. This update has some significant but important changes to contributors, but is otherwise a fairly moderate update. The feedback was mostly supportive, with a fair number of helpful suggestions about details.

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.

The foundational paper describing Crossref’s metadata — its scale, breadth, and role in the scholarly ecosystem. Published in Quantitative Science Studies in 2020 by Hendricks, Tkaczyk, Lin, and Feeney.

A community-led initiative to define principles, personas, and practices for richer, more connected, and more open scholarly metadata — with outputs including a multi-stakeholder survey, peer-reviewed papers, and practical guidance for publishers, funders, institutions, and researchers.

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. It’s not currently positioned to fully support everything we want to do long term - we’d like to support assertions, map cleanly to JATS and schema.org magically at the same time, and maybe even move beyond XML - but for now it’s something we can work with to empower member metadata to help find, cite, and connect scholarly content.

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. We first asked for input on metadata specifications in April 2018. Technical implementation kicked off in February with a workshop at CERN to discuss the mechanics of making PIDs for conferences a reality.

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.

We first announced plans to investigate identifiers for grants in 2017 and are almost ready to violate the first rule of grant identifiers which is “they probably should not be called grant identifiers”. Research support extends beyond monetary grants and awards, but our end goal is to make grants easy to cite, track, and identify, and ‘Grant ID’ resonates in a way other terms do not. The truth is in the metadata, and we intend to collect (and our funder friends are prepared to provide) information about a number of funding types. Hopefully we encompass all of them.