This blog post is from Lettie Conrad and Michelle Urberg, cross-posted from the The Scholarly Kitchen.
As sponsors of this project, we at Crossref are excited to see this work shared out.
The scholarly publishing community talks a LOT about metadata and the need for high-quality, interoperable, and machine-readable descriptors of the content we disseminate. However, as we’ve reflected on previously in the Kitchen, despite well-established information standards (e.g., persistent identifiers), our industry lacks a shared framework to measure the value and impact of the metadata we produce.
When Crossref began over 20 years ago, our members were primarily from the United States and Western Europe, but for several years our membership has been more global and diverse, growing to almost 18,000 organizations around the world, representing 148 countries.
As we continue to grow, finding ways to help organizations participate in Crossref is an important part of our mission and approach. Our goal of creating the Research Nexus—a rich and reusable open network of relationships connecting research organizations, people, things, and actions; a scholarly record that the global community can build on forever, for the benefit of society—can only be achieved by ensuring that participation in Crossref is accessible to all.
In August 2022, the United States Office of Science and Technology Policy (OSTP) issued a memo (PDF) on ensuring free, immediate, and equitable access to federally funded research (a.k.a. the “Nelson memo”). Crossref is particularly interested in and relevant for the areas of this guidance that cover metadata and persistent identifiers—and the infrastructure and services that make them useful.
Funding bodies worldwide are increasingly involved in research infrastructure for dissemination and discovery.
Preprints have become an important tool for rapidly communicating and iterating on research outputs. There is now a range of preprint servers, some subject-specific, some based on a particular geographical area, and others linked to publishers or individual journals in addition to generalist platforms. In 2016 the Crossref schema started to support preprints and since then the number of metadata records has grown to around 16,000 new preprint DOIs per month.
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
