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August / September 2024 newsletter
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Hello,
This month, we'd like to draw your attention to the upcoming board election and events where we're lookng forward to connecting with you.
Happy to hear your feedback.
Rosa
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The slate of candidates for the 2024 board election is now available! This year, we had 53 submissions from members across 24 countries to fill four open board seats—two for large members and two for small members.
The Nominating Committee has selected a diverse group of candidates. The voting contact for your organization was sent a ballot from eBallot on September 25th and have until October 29th to vote. Election results will be announced at Crossref2024.
Read candidate statements and vote today
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Time is running out to submit your abstract to share your metadata story in a flash talk and/or poster for Crossref2024! Submit yours by 4 October—don't miss your chance.
Whether or not you choose to submit an abstract, be sure to secure your spot at Crossref2024. It's a full-day online meeting on 29 October 2024 starting at 8:00 AM UTC. Join us for a range of sessions, including a panel discussion, API workshop, and community updates. Don't wait—register now.
Submit your abstract and register today
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We asked our community to help us decide which metadata projects to focus on next. Based on the feedback, we're working on adding citation types, improving abstract support, and allowing multiple roles for contributors using the CRediT taxonomy. Updates for preprints are coming soon too. We invite you to join the conversation in our Community Forum and the new Metadata Interest Group this fall to help inform future developments, including plans for multilingual metadata support.
Your ideas matter––let’s hear from you
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Metadata matching can’t be perfect because data is often messy, incomplete, or inconsistent. Adjusting the matching strategy for specific cases—like fixing an error for one particular input—doesn’t always improve overall performance and can sometimes introduce new problems, like incorrect matches. The process requires balancing the levels of false negatives and false positives when making adjustments. While large-scale automated matching isn’t flawless, it can greatly improve data completeness whenever manual enrichment is impractical. The quality of relationships asserted by automated matching processes should always be rigorously measured and estimated using scientific methods.
Stay informed and watch for updates
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We are excited to present our new Crossref API Learning Hub. This resource will provide you with the tools and tips needed to start interacting with our REST API. We hope to enable our community to easily retrieve and explore scholarly metadata. Whether you are a researcher, an editor, or you are just curious, our API Learning Hub is designed to help you get started in your journey to access and utilize more than 160 million records. Get started today and see how you can make use of our REST API for your next project!
Start exploring our API Learning Hub today
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We’re excited to return to the Frankfurt Book Fair 2024! Visit us at Stand G104, Hall 4.0, where we’ll be available to discuss metadata health checks, the integrity of the scholarly record, API use, membership, and how Crossref can support your work.
For more details on who will be there, check out our forum. If you'd like a one-to-one meeting, you can book a 30-minute slot with us or simply stop by to say hello.
Book your 30-minute session
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