Over the past year and a half, the Metadata Working Group has been working on changes to support the evolving use cases for DataCite DOIs. These proposed updates are in response to requests from DataCite community members and also in alignment with pillar 3 of DataCite’s strategic plan—that is, to “identify and connect all resource types held by research organizations globally.”
We want to make sure these changes work—that they solve the problems that they are intended to solve—and we want to hear from you! For the first time, we are sharing a draft proposal before releasing the next metadata schema version.

The post Proposed DataCite Metadata Schema Changes: Your Feedback Needed! appeared first on DataCite.

We believe that creative problem-solving and transparent decision-making can help us to make progress as a community. That's why since early 2021, we have been using Design Thinking and UX techniques not only to collect and analyze user data but to efficiently build a shared understanding across different stakeholders.

The post Refining our Thinking: How we are improving DataCite design processes appeared first on DataCite.

2021 was yet another year of the unexpected as the world continues to grapple with the challenges of the COVID-19 pandemic. It is in times like these that communities pull together to help each other and look for a better future. As such, our year-end-post includes thoughts and perspectives from our members and team around the world.

The post Strength in our community! appeared first on DataCite.

Hello! This is Kelvin, I interned with DataCite remotely in Hong Kong this summer. After this internship, I will continue the last year of my Bachelor of Computer Engineering at Hong Kong University of Science and Technology. My specialization is in Data Science. Yet this is my first trial of working with metadata, and it is a lot more interesting than I thought it would be — in the best way possible. It is really enjoyable to work here.

Despite the challenges over the last year, we are pleased to share some exciting news about launching the brave new PID, DMP IDs. Two years ago we set out a plan in collaboration with the University of California Curation Center and the DMPTool to bring DMP IDs to life.

Many things have happened since the DataCite Metadata Working Group last released a new version of its schema in the summer of 2019. Indeed, amongst a long list of transformations brought about by the ongoing global pandemic, the paramount importance of accessing research data has been made clear to all as a requirement to accelerate trustworthy and evidenced-based science.

Metadata are essential for finding, accessing, and reusing scholarly content, i.e. to increase the FAIRness [@https://doi.org/10.1038/sdata.2016.18] of datasets and other scholarly resources.

Are published datasets actually being cited? It’s a question that must cross the mind of any avid reader of this blog at least once. We have talked about data citation plenty on this blog. Often, though, we talk about the links between academic resources and datasets — the kind of links collected by our Event Data Service.

This is a guest blog post written by Ted Habermann. In this blog post, Dr Habermann introduces the MetaDIG project and how the project recommendations can be applied to DataCite metadata. Since Wilkinson et al. (@https://doi.org/10.1038/sdata.2016.18) introduced the FAIR Principles, discussions and implementation guidelines have been published in almost every possible context.

The DataCite Metadata Schema is the basis for the metadata you submit to DataCite. It tells you the available fields and structure for your metadata records. Many of our members have told us that they’d really like to be able to include affiliation information in their metadata in a more structured way. The launch of ROR earlier this year provides a great step towards addressing structured capturing of affiliation information.