Blog

TL;DR Many organizations are doing what they can to aid in the response to the COVID-19 pandemic. Crossref members can make it easier for researchers to identify, locate, and access content for text mining. In order to do this, members must include elements in their metadata that: Point to the full text of the content. Indicate that the content is available under an open access license or that it is being made available for free (gratis).

This blog is long overdue. My apologies for the delay. I promised you an update in February as a follow up to the resolution reports blog originally published in December by my colleague Jon Stark and me. Clearly we (I) missed that February projection, but I’m here today to provide said update. We received many great suggestions from our members as a result of the call for comments. For those of you who took time to write: thank you! We took extra time to review and evaluate all of your comments and recommendations. We have reached a decision about the major proposed change - removal of all filters from monthly resolution reports - as well as a couple of suggested improvements from that feedback.

A lot of people have been using our public, open APIs to collect data that might be related to COVID-19. This is great and we encourage it. We also want to make it easier. To that end we have made a free data file of the public elements from Crossref’s 112.5 million metadata records. The file (65GB, in JSON format) is available via Academic Torrents here: https://0-doi-org.libus.csd.mu.edu/10.13003/83B2GP It is important to note that Crossref metadata is always openly available.

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.

TL;DR: We no longer charge fees for members to participate in Crossmark, and we encourage all our members to register metadata about corrections and retractions - even if you can’t yet add the Crossmark button and pop-up box to your landing pages or PDFs.

–

Publisher metadata is one side of the story surrounding research outputs, but conversations, connections and activities that build further around scholarly research, takes place all over the web. We built Event Data to capture, record and make available these ‘Events’ –– providing open, transparent, and traceable information about the provenance and context of every Event. Events are comments, links, shares, bookmarks, references, etc.

At Crossref, we’re committed to providing a simple, usable, efficient and scalable web-based tool for registering content by manually making deposits of, and updates to, metadata records. Last year we launched Metadata Manager in beta for journal deposits to help us explore this further. Since then, many members have used the tool and helped us better understand their needs.

Detective Matcher stopped abruptly behind the corner of a short building, praying that his loud heartbeat doesn’t give up his presence. This missing DOI case was unlike any other before, keeping him awake for many seconds already. It took a great effort and a good amount of help from his clever assistant Fuzzy Comparison to make sense of the sparse clues provided by Miss Unstructured Reference, an elegant young lady with a shy smile, who begged him to take up this case at any cost.

Update: Deadline extended to 23:59 (UTC) 13th March 2020.

Distributed Usage Logging (DUL) allows publishers to capture traditional usage activity related to their content that happens on sites other than their own so they can provide reports of “total usage”, for example to subscribing institutions, regardless of where that usage happens.

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.