e-Infrastructures for excellent scienceAdvances in Life Sciences, Digital Cultural Heritage and Climatology

E-Infrastructures are currently addressing the challenging needs of researchers for digital services in terms of networking, computing and data management. Virtual research environments (VRE) are expected to integrate resources across all layers of the e-infrastructure (networking, computing, data, software, user interfaces)  to foster cross-disciplinary data interoperability. VRE are supporting innovation in research via an integrated access to potentially unlimited digital research resources, tools and services across disciplines and user communities. 

The Special Issue on e-Infrastructures for excellent science targets to expose scientific reports on advances in the state–of–the-art by using VREs. A special attention is provided to three fields of applications: Life Scoences, Digital Cultural Heritage, Climatology.  

Topics:

Authors are invited to submit manuscripts that present original and unpublished research in all areas related to Virtual Research Environments (VRE). The general scope of the Special Issue includes in terms of applications of VREs, but is not limited to, the following:

  • developing VREs:
    • abstract the underlying e-infrastructures using standardised building blocks and workflows, interfaces regarding APIs and interoperable components
    • composition of generic services delivered by e-infrastructures and domain specific services co-developed and co-operated by researchers, technology and e-infrastructure providers
    • integration of heterogeneous data from multiple sources and value-added services for computing, modelling, simulation, and data exploration, mining and visualisation
    • prototyping and deployment of advanced data services and environments
  • using VREs for
    • modeling and molecular Dynamics study of important drug targets
    • computer-aided drug design
    • analysis of next generation DNA sequencing data
    • image processing for biological applications
    • climate modelling to better understand and predict climate change and impacts, and phenomena such as dust storms.
    • air quality modelling, including atmospheric chemistry and air pollution transport.
    • weather forecast and extreme weather prediction, model development, application
    • online services and access to repositories in order to enable studies of the immense cultural heritage assets 
    • online visualization tools and data management systems to drive breakthrough contributions to art historical problems .
    • unsupervised feature learning in photogrammetric techniques, data processing for image classification; semantic referencing; and geo-referencing

Important dates:

  • Submission: December 22, 2017 
  • Author notification: February 28, 2018
  • Revised papers: March 31, 2018
  • Final decision: April 30, 2018
  • Camera Ready papers due: May 15, 2018
  • Publication: June 1, 2018

Submission guidelines:

Original and unpublished works on any of the topics aforementioned or related are welcome. The SCPE journal has a rigorous peer-reviewing process and papers will be reviewed by at least two S.C. referees. All submitted papers must be formatted according to the journal's instructions, which can be found at: 

http://www.scpe.org/index.php/scpe/about/submissions#authorGuidelines

Special issue editor:

  • Aneta Karaivanova, Bulgarian Academy of Science.