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A couple of weeks ago we shared with you that data citation is here, and that you can start doing data citation today. But why would you want to? There are always so many priorities, why should this be at the top of the list?

Data citation is seen as one of the most important ways to establish data as a first-class scientific output. At Crossref and DataCite we are seeing growth in journal articles and other content types citing data, and datasets making the link the other way. Our organizations are committed to working together to help realize the data citation community’s ambition, so we’re embarking on a dedicated effort to get things moving.

“Pre-prints” are sometimes neither Pre nor Print (c.f. https://doi.org/10.12688/f1000research.11408.1, but they do go on and get published in journals. While researchers may have different motivations for posting a preprint, such as establishing a record of priority or seeking rapid feedback, the primary motivation appears to be timely sharing of results prior to journal publication.

So where in fact do preprints get published?

Peer review publications—not peer-reviewed publications, but peer reviews as publications Our newest dedicated content type—peer review—has received a warm welcome from our members since rollout last November. We are pleased to formally integrate them into the scholarly record, giving the scholars who participated credit for their work, ensuring readers and systems dependably get from the reviews to the article (and vice versa), and making sure that links to these works persist over time.

Exciting news! We are getting very close to the beta release of a new tool to publicly show metadata coverage. As members register their content with us they also add additional information which gives context for other members and for services that help e.g. discovery or analytics.

Richer metadata makes content useful. Participation reports will give—for the first time—a clear picture for anyone to see the metadata Crossref has. This is data that’s long been available via our Public REST API, now visualized.

I was invited recently to present parliamentary evidence to the House of Commons Science and Technology Select Committee on the subject of Research Integrity. For those not familiar with the arcane workings of the British Parliamentary system, a Select Committee is essentially the place where governments, and government bodies, are held to account. So it was refreshing to be invited to a hearing that wasn’t about Brexit.

The interest of the British Parliament in the integrity of scientific research confirms just how far science’s ongoing “reproducibility crisis” has reached. The fact that a large proportion of the published literature cannot be reproduced is clearly problematic, and this call to action from MPs is very welcome. And why would the government not be interested? At stake is the process of how new knowledge is created, and how reliable that purported knowledge is.

Researchers are adopting new tools that create consistency and shareability in their experimental methods. Increasingly, these are viewed as key components in driving reproducibility and replicability. They provide transparency in reporting key methodological and analytical information. They are also used for sharing the artifacts which make up a processing trail for the results: data, material, analytical code, and related software on which the conclusions of the paper rely. Where expert feedback was also shared, such reviews further enrich this record. We capture these ideas and build on the notion of the “article nexus” blogpost with a new variation: “the research nexus.”

When we set up the eLife journal in 2012, we knew datasets were an important component of research content and decided to give them prominence in a section entitled ‘Major datasets’ (see images below). Within this section, major previously published and generated datasets are listed. We also strongly encourage data citations in the reference list.

Please visit Crossref’s official Data & Software Citations Deposit Guide for deposit details.

Very carefully, one at a time? However you wish.

Last year, we introduced linking publication metadata to associated data and software when registering publisher content with Crossref Linking Publications to Data and Software. This blog post follows the “whats” and “whys” with the all-important “how(s)” for depositing data and software citations. We have made the process simple and fairly straightforward: publishers deposit data & software links by adding them directly into the standard metadata deposit via relation type and/or references. This is part of the **existing Content Registration ** process and requires no new workflows.

TL;DR Crossref and Datacite provide a service to link publications and data. The easiest way for Crossref members to participate in this is to cite data using DataCite DOIs and to include them in the references within the metadata deposit. These data citations are automatically detected. Alternatively and/or additionally, Crossref members can deposit data citations (regardless of identifier) as a relation type in the metadata. Data & software citations from both methods are freely propagated.