Data Publishing in Springer Computer Proceedings

If your proceedings have been accepted for publication in one of our proceedings series, a branded area can be set up for your conference within Springer Nature’s figshare repository. Any data/software used/developed in the papers published in the proceedings may be uploaded to this branded area and given a permanent DOI. The papers on SpringerLink link to the data on figshare and vice versa. 

• Organise data/software publishing in a useful way
• Receive a permanent DOI for your data/software with proper licensing
• Receive more credit and readership of your data/software and associated publication

Workflows and prices

There are two workflow options available for data/software publishing in Computer Science proceedings:

1. Editor-managed solution
   In this option, we provide the necessary infrastructure and guidelines to authors and editors (conference correspondence editor) to upload and curate the datasets/software.
   
   The service is free-of-charge. In case you are interested in this option please read the welcome note, as well as the following guidelines for authors and editors.
   
    
2. Springer Nature’s data curation service
   In case you are interested to transfer the workload and responsibility of data curation to our team of experts, you may use this option. Our Research Data Support service is a paid curation service for any published researcher (or those who are in the process of publishing in a Springer Nature journal or book).
   
   For more information about this service and prices please refer to this page.

Contact

In case you are interested in data publishing and need more information/advice, please send an email to the responsible editor in our department via amin.mobasheri@springer.com

Guidelines for Authors

The Springer Nature figshare repository is located at https://springernature.figshare.com/
Learn more about submitting your data to the repository in the guidelines for authors

Guidelines for Editors

The Springer Nature figshare repository is located at https://springernature.figshare.com/
Learn more about submitting your data to the repository in the guidelines for editors

• Experimental test datasets for Fast and Scalable Implementation of the Bayesian SVM

• Code for Fast and Scalable Implementation of the Bayesian SVM

• Relevance and Redundancy ranking: Code and Supplementary material

• Figures for Fast and Scalable Implementation of the Bayesian SVM

• Co-Regularised Support Vector Regression Data and Python Implementation data and code

• Software artifacts for Euro-Par 2018 paper: "Efficient Strict-Binning Particle-in-Cell Algorithm for Multi-Core SIMD Processors"

• HiCMA (Hierarchical Computations on Manycore Architectures) library presented in Euro-Par'18 paper

• Supporting Data for Design Principles for Sparse Matrix Multiplication on the GPU paper at Euro-Par 2018

• The Refinement Calculus of Reactive Systems Toolset - Feb 2018

• APPREAL (APProximate REduction of Automata and Languages) tool used to obtain experimental results in TACAS '18 paper: Approximate Reduction of Finite Automata for High-Speed Network Intrusion Detection

• Evaluating Web Table Annotation Methods: From Entity Lookups to Entity Embeddings

• nLDE SPARQL engine: computing diefficiency metrics based on answer traces and query processing performance benchmarking

• Blockchain Enabled Privacy Audit Logs

• PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking