Archive by category | Editor Posts

Request for comment on cross-publisher data repository guidelines

Springer Nature, the publisher of Scientific Data, has recently been working with several other publishers, brought together by FAIRsharing and DataCite, to develop a common set of guidelines that publishers could use when assessing and recommending data repositories to their authors.  Read more

Announcing the first members of our new Senior Editorial Board

Announcing the first members of our new Senior Editorial Board

Today, we are pleased to announce the formation of a new Senior Editorial Board, the members of which will guide our larger Editorial Board membership and will play a lead role in setting standards for papers submitted to Scientific Data.  Read more

Expanding our generalist data repository options

Expanding our generalist data repository options

Since our launch in 2014, we have published descriptions of datasets archived at more than 45 different repositories. This diversity is a key part of the Scientific Data philosophy; we aim to support as wide a range of data repositories as possible, within the constraints of our strong policies on data preservation and openness (learn more). So our authors find the right repository for their data, we maintain and regularly update a list of recommended open data repositories, which is also used more widely by the Nature Research journals and our publisher Springer Nature. Last year we also improved our support for institutional repositories.  Read more

We’ve clarified our policies on institutional repositories

This week, we updated our data repository recommendations to clarify our existing support for institutional repositories.  We have also made it easier for authors using these resources to submit manuscripts to Scientific Data.  Read more

Call for submissions describing plant phenotype data

An Editorial published this week at Nature Genetics endorsed the goals of the DivSeek initiative and issued a call for wider sharing of plant phenotype data – particularly phenotypic data associated with important genetic and genomic studies. Scientific Data supports this call, and we invite researchers to submit manuscripts to our journal describing and releasing such datasets.  Read more