Introducing Data Support Services

This slideset introduces the Springer Nature Data Support services. It provides context on the challenges researchers face in sharing their data, and how the Data Support Services can assist authors in making their data both available and findable.

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Since April 2017, a pilot service has been providing Springer Nature authors with additional support in curating their research data, depositing data in repositories, and drafting good quality metadata which allows datasets to be easily found and reused. These services address some of the challenges that researchers have in sharing their data, such as a lack of time, and a lack of knowledge in relation to selecting appropriate licences and repositories.

From a Springer Nature survey of 7719 authors

The services build on our existing Research Data Helpdesk, which provides information to authors free of charge on subjects including compliance with funder- and institutional policies, selecting a repository, and drafting data availability statements. In comparison to the Helpdesk, the Data Support Services provide hands-on assistance to researchers in depositing their datasets and using metadata to describe them. 

A recent survey indicated that 75% of authors would be interested in a service which helps them to deposit their data in a repository. We hope that the provision of these services will address the challenges that researchers associate with making their data available.

From a Springer Nature survey of 7656 authors

More information on the services, including examples of data which has been published through the services, and testimonials from authors who have used it, is available in the full slideset:

You can download the full slideset here.

Rebecca Grant

Research Data Manager, Springer Nature

I am Springer Nature's Research Data Manager, having previously worked as digital archivist at national public institutions and a national repository in Ireland. I have a background in the humanities, and I am currently undertaking a part-time PhD which is investigating the connections between archival science and research data management. My main areas of interest are in best practices and standards in data management, with a focus on digital preservation. I am also qualified in project management and Open Data training, and I will be contributing to training and guidance for authors and editors in the next year.

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