A Robust, Format-Agnostic Scientific Data Transfer Framework | Zendy

James Hester | Zendy

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A Robust, Format-Agnostic Scientific Data Transfer Framework

Author(s) -

James Hester

Publication year - 2016

Publication title -

data science journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.358

H-Index - 21

ISSN - 1683-1470

DOI - 10.5334/dsj-2016-012

Subject(s) - computer science , ontology , simplicity , interface (matter) , modularity (biology) , class (philosophy) , extensibility , variety (cybernetics) , file format , information retrieval , software engineering , software , modular design , programming language , artificial intelligence , philosophy , epistemology , bubble , maximum bubble pressure method , parallel computing , biology , genetics

The olog approach of Spivak and Kent (PLoS ONE 7, 1 (2012) p e24274) is applied to the practical development of data transfer frameworks, yielding simple rules for construction and assessment of data transfer standards. The simplicity, extensibility and modularity of such descriptions allows discipline experts unfamiliar with complex ontological constructs or toolsets to synthesise multiple pre-existing standards, potentially including a variety of file formats, into a single overarching ontology. These ontologies nevertheless capture all scientifically-relevant prior knowledge, and when expressed in machine-readable form are sufficiently expressive to mediate translation between legacy and modern data formats. A format-independent programming interface informed by this ontology consists of six functions, of which only two handle data. Demonstration software implementing this interface is used to translate between two common diffraction image formats using such an ontology in place of an intermediate format

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