This blog post was cross-posted from the Crossref blog We’ve mentioned why data citation is important to the research community. Now it’s time to roll up our sleeves and get into the ‘how’. This part is important, as citing data in a standard way helps those citations be recognized, tracked, and used in a host of different services. This week A Data Citation Roadmap for Scientific Publishers was published in Scientific Data.
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? I’m sure you heard this before, but data sharing and data citation are important for scientific progress.
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.
This blog post by Laure Haak, Ed Pentz and Trisha Cruse was cross-posted from the ORCID blog. On 22 January, ORCID, DataCite and Crossref co-hosted an Organization ID Stakeholders meeting. The meeting marked a transition from the work of the Organization ID Working Group to a formal launch of an Organization ID Registry Initiative.
At the end of October 2016, Crossref, DataCite, and ORCID reported on collaboration in the area of organization identifiers [@https://doi.org/10.5438/TNHX-54CG]. We issued three papers [@https://doi.org/10.5438/2906;@https://doi.org/10.5438/4716;@https://doi.org/10.5438/7885] for community comment and after input we subsequently announced the formation of The OI Project, along with a call for expressions of interest from people interested in
The scholarly research community has come to depend on a series of open identifier and metadata infrastructure systems to great success. Content identifiers (through DataCite and Crossref) and contributor identifiers (through ORCID) have become foundational infrastructure for the community.
In a guest post two weeks ago Elizabeth Hull explained that only 6% of Dryad datasets associated with a journal article are found in the reference list of that article, data she also presented at the IDCC conference in February [@https://doi.org/10.5281/zenodo.32412]. This number has increased from 4% to 8% between 2011-2014, but is still low.
This Monday ORCID, CrossRef and DataCite announced (ORCID post, CrossRef post, DataCite post) the new auto-update service that automatically pushes metadata to ORCID when an ORCID identifier is found in newly registered DOI names. This is the first joint announcement by the three organizations, and shows the close collaboration between ORCID, CrossRef and DataCite.
This post has been cross-posted from the ORCID blog. We will follow up with a blog post later this week explaining the DataCite auto-update implementation. Since ORCID’s inception, our key goal has been to unambiguously identify researchers and provide tools to automate the connection between researchers and their creative works.
Today I am pleased to announce the launch of a new service, DataCite Labs Search – the service is available immediately at https://search.datacite.org/. This is one of THOR’s first services and is based on work in the earlier EC-funded ODIN Project. The ODIN project launched the DataCite/ORCID claiming tool in June 2013. The DataCite/ORCID claiming tool allows users to add works from the DataCite Metadata Store (MDS) to their ORCID profile.
