Environmental Data and Data Transformation Models Review (EDDTMR) is an international peer-reviewed periodical focusing on reproducible research and scientific knowledge freedom in transdisciplinary modelling. It publishes contributions on environmental data and related data transformations (data-oriented modelling), mainly supporting wide-scale environmental problems. Published articles also provide the readers with relevant open linked data and source code (free software) of the described mathematical modelling. EDDTMR is a special edition of Notes on Transdisciplinary Modelling for Environment focusing on advances in data-transformation modelling (D-TM) of arrays of free scientific data. D-TMs are expected to be scalable, array-oriented (thus concise) and semantically enhanced transformations of data.
Environmental Data and Data Transformation Models Review (EDDTMR) is an international peer-reviewed periodical focusing on reproducible research and scientific knowledge freedom in transdisciplinary modelling. It publishes contributions on environmental data and related data transformations (data-oriented modelling), mainly supporting wide-scale environmental problems. Data and software freedom are essential aspects of knowledge freedom in computational science, therefore published articles also provide the readers with the data and source code (sometime in the form of concise codelets) of the described mathematical modelling. Published data are available as open linked data while source code is available as free software.
EDDTMR is a special edition of Notes on Transdisciplinary Modelling for Environment whose aim is to publish research articles reporting advances in free scientific data for environmental modelling and involved data-transformation modelling (D-TM). D-TMs are expected to be structured as concise and semantically enhanced transformations of arrays of data. Special attention is devoted to data semantics and corresponding D-TM scalability, semantic checks and reusability so as for described D-TMs to be applicable to data with different provenance and size.
Peer review process
EDDTMR follows a two-stage peer review process which requires discussion papers to be published so as to receive feedback from the scientific community before their possible finalisation. Initial manuscript submission is subject to soundness review, also ensuring eligibility criteria to be fulfilled so as to support scientific knowledge freedom. Among the eligibility criteria, it should be highlighted the need for:
- free software to have been published so as for it to be persistently available;
- appropriate licensing and source code review to have been done;
- free data to have been published so as for it to be persistently available;
- a minimal share of free-access references to be selected in order for scientists and research organisations not to be discriminated on the basis of their funding availability, when they try to fully understand the core literature cited in the manuscript.
The discussion stage allows short comments to be submitted by referees and the scientific community, while authors are encouraged to interact with pending comments by providing their responses. During this stage, the discussion paper is already citable. The second stage of peer review begins with the submission of a revised manuscript, with final review and corrections.