On June 30th, 2016, DataCite organised a webinar to introduce the community to the new version of its metadata schema developed by DataCite’s Metadata Working Group. and support the different integrators interested in migrating to the new schema. http://schema.datacite.org/meta/kernel-4.0/ The DataCite Metadata Schema 4.0 comes with improvements to name identifiers, funding information, resource types, and other modifications.

This week we relaunched DataCite Search, providing a more user-friendly search interface for DataCite metadata. We also added functionality that was not available before. The new search uses a single entry box for queries, and filters by resource type, publication year and data center. A new Cite button will generate a citation in several popular citation styles, and in BibTeX and RIS import formats.

We are very pleased to announce the launch of our new website: www.datacite.org! Our website is the central place for information about DataCite and we love the new look! It has become the hub for all our services and now it delivers our latest news and supports the community with a responsive easy-to-use interface. DataCite’s mission is to help the research community locate, identify, and cite research data with confidence.

CSV in many ways is for data what Markdown is for text documents: a very simple format that is both human- and machine-readable, and that – despite a number of shortcomings – is widely used. Given the popularity of Markdown for writing blog posts, using CSV to publish blog posts with tabular data should be an obvious thing to do, and we have just published our first blog post using CSV data.

DataCite is a community driven organization, and we encourage involvement from people that share our data sharing vision. Over the past year, DataCite has seen a tremendous amount of growth and uptake in the use of DataCite DOIs.

On May 17, 2016, DataCite continued our monthly webinar series with Sebastian Karcher, Associate Director of the Qualitative Data Repository (QDR) at Syracuse University, presenting on Zotero for data repositories. Sebastian is an expert in scholarly referencing and citation workflows and has been a longtime contributor to the Citation Style Language as well as Zotero, the open source reference management software.

Data citation is core to DataCite’s mission and DataCite is involved in several projects that try to facilitate data citation, including THOR, Data Citation Implementation Pilot (DCIP), Research Data Alliance (RDA), and COPDESS. The biggest roadblock for wider data citation adoption might be insufficient incentives for individual researchers, but another major challenge is that implementing data citation is still too complicated.

This week some of us from DataCite are attending CSVconf in Berlin, and we are a conference sponsor and co-organizer. One important reason we are at CSVconf is that providing persistent identifiers and starndard metadata for research data, which in most cases are stored in tabular data formats such as CSV, is central to what DataCite is doing.

The following is a guest post by Lars Juhl Jensen, cross-posted from his blog. I use Impactstory to track altmetrics for my publications. I believe they did the right thing by not asking me to maintain yet another online profile and instead building upon existing infrastructure. I also use figshare to publish open datasets and wanted to get Impactstory to track these too.

As we have talked about before, the DataCite Metadata Working Group has prepared a DataCite to Dublin Core application profile (DC2AP) and an ontology (DC2RDF) and is currently running a public review to become a DCMI Community Specification. Two weeks ago, DataCite organised a webinar to discuss the first round of feedback received.

This week most of the DataCite staff is attending the Force16 conference in Portland, Oregon. Force16 brings together a large group of people who either already work with DataCite in one way or another, or are doing interesting projects of relevance to DataCite. ImpactStory is a non-profit that helps scientists learn where their research is being cited, shared, saved and more.