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It’s been a while, here’s a metadata update and request for feedback In Spring 2023 we sent out a survey to our community with a goal of assessing what our priorities for metadata development should be - what projects are our community ready to support? Where is the greatest need? What are the roadblocks? The intention was to help prioritize our metadata development work. There’s a lot we want to do, a lot our community needs from us, but we really want to make sure we’re focusing on the projects that will have the most immediate impact for now.

We’ve just added to our input schema the ability to include affiliation information using ROR identifiers. Members who register content using XML can now include ROR IDs, and we’ll add the capability to our manual content registration form, participation reports, and metadata retrieval APIs in the near future. And we are inviting members to a Crossref/ROR webinar on 29th September at 3pm UTC. The background We’ve been working on the Research Organization Registry (ROR) as a community initiative for the last few years.

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 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.

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.