We believe in Persistent Identifiers. We believe in defence in depth. Today we’re excited to announce an upgrade to our data resilience strategy.
Defence in depth means layers of security and resilience, and that means layers of backups. For some years now, our last line of defence has been a reliable, tried-and-tested technology. One that’s been around for a while. Yes, I’m talking about the humble 5¼ inch floppy disk.
Recording data citations supports data reuse and aids research integrity and reproducibility. Crossref makes it easy for our members to submit data citations to support the scholarly record.
TL;DR Citations are essential/core metadata that all members should submit for all articles, conference proceedings, preprints, and books. Submitting data citations to Crossref has long been possible. And it’s easy, you just need to:
Include data citations in the references section as you would for any other citation Include a DOI or other persistent identifier for the data if it is available - just as you would for any other citation Submit the references to Crossref through the content registration process as you would for any other record And your data citations will flow through all the normal processes that Crossref applies to citations.
At Crossref, we care a lot about the completeness and quality of metadata. Gathering robust metadata from across the global network of scholarly communication is essential for effective co-creation of the research nexus and making the inner workings of academia traceable and transparent. We invest time in community initiatives such as Metadata 20/20 and Better Together webinars. We encourage members to take time to look up their participation reports, and our team can support you if you’re looking to understand and improve any aspects of metadata coverage of your content.
What’s in the metadata matters because it is So.Heavily.Used.
You might be tired of hearing me say it but that doesn’t make it any less true. Our open APIs now see over 1 billion queries per month. The metadata is ingested, displayed and redistributed by a vast, global array of systems and services that in whole or in part are often designed to point users to relevant content. It’s also heavily used by researchers, who author the content that is described in the metadata they analyze.
The DOI error report is sent immediately when a user informs us that they’ve seen a DOI somewhere which doesn’t resolve to a website.
The DOI error report is used for making sure your DOI links go where they’re supposed to. When a user clicks on a DOI that has not been registered, they are sent to a form that collects the DOI, the user’s email address, and any comments the user wants to share.
We compile the DOI error report daily using those reports and comments, and email it to the technical contact at the member responsible for the DOI prefix as a .csv attachment. If you would like the DOI error report to be sent to a different person, please contact us.
The DOI error report .csv file contains (where provided by the user):
DOI - the DOI being reported
URL - the referring URL
REPORTED-DATE - date the DOI was initially reported
USER-EMAIL - email of the user reporting the error
COMMENTS
We find that approximately 2/3 of reported errors are ‘real’ problems. Common reasons why you might get this report include:
you’ve published/distributed a DOI but haven’t registered it
the DOI you published doesn’t match the registered DOI
a link was formatted incorrectly (a . at the end of a DOI, for example)
a user has made a mistake (confusing 1 for l or 0 for O, or cut-and-paste errors)
What should I do with my DOI error report?
Review the .csv file attached to your emailed report, and make sure that no legitimate DOIs are listed. Any legitimate DOIs found in this report should be registered immediately. When a DOI reported via the form is registered, we’ll send out an alert to the reporting user (if they’ve shared their email address with us).
I keep getting DOI error reports for DOIs that I have not published, what do I do about this?
It’s possible that someone is trying to link to your content with the wrong DOI. If you do a web search for the reported DOI you may find the source of your problem - we often find incorrect linking from user-provided content like Wikipedia, or from DOIs inadvertently distributed by members to PubMed. If it’s still a mystery, please contact us.
Page owner: Isaac Farley | Last updated 2020-April-08