The parallel growth in scientific data and cloud computing has revolutionised the way scientific content is communicated to and used by researchers. e-science and e-research applications have extended traditional forms of scholarly cyber-infrastructure (such as institutional repositories and digital libraries), aiming to satisfy new requirements that reveal new usage scenarios and use cases. Thus research groups focusing on a knowledge domain or interdisciplinary research communities need to collaborate and communicate the workflows and processes they follow to generate knowledge and their results.
Indicative workflows include storing, manipulating, enriching and annotating, disseminating and publishing not only their results, but all the data generated by all the steps of their processes, such as experimental data, learning materials, etc. These information objects might be not only of textual but also of multimedia format, e.g. molecular structures, 3D building engineering structures, epidemiological data, economical models, social policy simulations, or human genomic structures.
Metadata and ontologies are integral components of modern e-science and e-research infrastructures ensuring open, comprehensive and persistent access to scientific material. Challenges are still in place regarding their role in the process of storing, preserving, managing, retrieving and disseminating this type of information.
This special issue aims to generate a discussion forum that will bring together researchers and e-science infrastructure developers to discuss the issues in scientific data management and retrieval, the development of large scale scientific archives in the cloud, the parameters for designing and developing repositories and information access mechanisms.
Suitable topics include but are not limited to:
- Modelling of scientific content
- Infrastructures, systems and services for knowledge organisation
- Ontology approaches, models, theories and languages
- Semantic representation of scientific content and remote collaboration
- Metadata standards and application profiles for e-science/e-research
- Multilingual metadata, vocabularies, taxonomies, glossaries and thesauri
- Auto-generated vs. human generated e-science metadata
- Visualisation techniques for metadata, content, repositories
- Interoperability in e-research environments
- Workflow management models
- Open data and linked open data for e-science
- Evaluation of metadata quality/metadata metrics
- Cloud facilities and supercomputing for e-science
- Archiving and preservation metadata and conceptual models
Manuscript submission: 27 January, 2013
Notification of acceptance/rejection: 31 March, 2013
Final manuscript due: 30 April, 2013
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