Make FAIR your Datasets using Springer Nature RESEARCH DATA SUPPORT

RESEACRH DATA SUPPORT is an optional Springer Nature service available (starting 23 January, 2018) to researchers who have datasets they want to share, and make citable and findable. The final goal is to help researchers, institutions and funders make progress towards Findable, Accessible, Interoperable and Reusable (FAIR) data.

 "Extending Research Data Support to the whole community" : 
In October 2017, Springer Nature published 10 datasets from authors publishing proceedings papers in International Semantic Web Conference 2017, and in December 2017 -  Springer Nature provided a similar service to ECML-PKDD 2017.
Besides, Springer Nature has also created custom branded areas within Springer Nature’s figshare repository for each of these conferences, grouping the research outputs for these publications in one place".

Who can use Research Data Support ?

If you are an author in the process of submitting a manuscript to participating Springer Nature journals, you will be able to access Research Data Support through the manuscript submission system.  A list of the journals which make the service available to authors is available here.

If you have an article in process at a Springer Nature journal that does not currently offer this service find out if we can accept your data by completing this form and uploading your data.

If you want to share data associated with an article you’ve already published with Springer Nature, please access the service here.

If you have data supporting previous publications that were not published by Springer Nature you are still able to able to utilise Research Data Support. To access the service, please complete this form and upload your data.

Benefits of Research Data Support

SPRINGER NATURE provides a secure portal for data upload, and data and metadata are curated and improved by professional Research Data Editors. In particular, to make this happen, a team of Research Data Editors (in consultation with the researcher) will:

  • Enhance metadata of datasets to improve their discoverability and encourage reuse
  • Assign DOIs to datasets, making them easily identifiable and citeable
  • Link data to their associated research, increasing visibility and potential for reuse
  • Further increase visibility by creating data availability statements for use in research publications
  • Provide a report detailing checks and improvements made to datasets

Did you know What is involved in archiving life science datasets? “Easier said than archived” ?

Learn more from Life Science Database Archive (LSDB Archive) that collects and stores over 130 datasets (as national public goods) generated by life scientists... LSDB Archive makes it easier for researchers, companies and citizens to:

  • understand metadata in a unified format
  • search datasets, including sequences and images
  • download datasets in general and linked open data (LOD) suitable formats
  • access datasets with clear terms of use based on the Creative Commons licenses
  • cite datasets using unique persistent identifiers (DOIs)  

If you would like more information on the RESEARCH DATA SUPPORT services offered, please contact researchdata@springernature.com.

Related :

In 2017:

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