The RICORDO approach to semantic interoperability for biomedical data and models: strategy, standards and solutions

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The RICORDO approach to semantic interoperability for biomedical data and models: strategy, standards and solutions. / de Bono, B.; Hoehndorf, R.; Wimalaratne, S.; Gkoutos, G.; Grenon, P.

In: BMC Research Notes, Vol. 4, 30.08.2011, p. 313.

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@article{6e0c699090be499fb2f60755a7114990,
title = "The RICORDO approach to semantic interoperability for biomedical data and models: strategy, standards and solutions",
abstract = "BackgroundThe practice and research of medicine generates considerable quantities of data and model resources (DMRs). Although in principle biomedical resources are re-usable, in practice few can currently be shared. In particular, the clinical communities in physiology and pharmacology research, as well as medical education, (i.e. PPME communities) are facing considerable operational and technical obstacles in sharing data and models.FindingsWe outline the efforts of the PPME communities to achieve automated semantic interoperability for clinical resource documentation in collaboration with the RICORDO project. Current community practices in resource documentation and knowledge management are overviewed. Furthermore, requirements and improvements sought by the PPME communities to current documentation practices are discussed. The RICORDO plan and effort in creating a representational framework and associated open software toolkit for the automated management of PPME metadata resources is also described.ConclusionsRICORDO is providing the PPME community with tools to effect, share and reason over clinical resource annotations. This work is contributing to the semantic interoperability of DMRs through ontology-based annotation by (i) supporting more effective navigation and re-use of clinical DMRs, as well as (ii) sustaining interoperability operations based on the criterion of biological similarity. Operations facilitated by RICORDO will range from automated dataset matching to model merging and managing complex simulation workflows. In effect, RICORDO is contributing to community standards for resource sharing and interoperability.",
author = "{de Bono}, B. and R. Hoehndorf and S. Wimalaratne and G. Gkoutos and P. Grenon",
year = "2011",
month = aug,
day = "30",
doi = "10.1186/1756-0500-4-313",
language = "Undefined/Unknown",
volume = "4",
pages = "313",
journal = "BMC Research Notes",
issn = "1756-0500",
publisher = "Springer",

}

RIS

TY - JOUR

T1 - The RICORDO approach to semantic interoperability for biomedical data and models: strategy, standards and solutions

AU - de Bono, B.

AU - Hoehndorf, R.

AU - Wimalaratne, S.

AU - Gkoutos, G.

AU - Grenon, P.

PY - 2011/8/30

Y1 - 2011/8/30

N2 - BackgroundThe practice and research of medicine generates considerable quantities of data and model resources (DMRs). Although in principle biomedical resources are re-usable, in practice few can currently be shared. In particular, the clinical communities in physiology and pharmacology research, as well as medical education, (i.e. PPME communities) are facing considerable operational and technical obstacles in sharing data and models.FindingsWe outline the efforts of the PPME communities to achieve automated semantic interoperability for clinical resource documentation in collaboration with the RICORDO project. Current community practices in resource documentation and knowledge management are overviewed. Furthermore, requirements and improvements sought by the PPME communities to current documentation practices are discussed. The RICORDO plan and effort in creating a representational framework and associated open software toolkit for the automated management of PPME metadata resources is also described.ConclusionsRICORDO is providing the PPME community with tools to effect, share and reason over clinical resource annotations. This work is contributing to the semantic interoperability of DMRs through ontology-based annotation by (i) supporting more effective navigation and re-use of clinical DMRs, as well as (ii) sustaining interoperability operations based on the criterion of biological similarity. Operations facilitated by RICORDO will range from automated dataset matching to model merging and managing complex simulation workflows. In effect, RICORDO is contributing to community standards for resource sharing and interoperability.

AB - BackgroundThe practice and research of medicine generates considerable quantities of data and model resources (DMRs). Although in principle biomedical resources are re-usable, in practice few can currently be shared. In particular, the clinical communities in physiology and pharmacology research, as well as medical education, (i.e. PPME communities) are facing considerable operational and technical obstacles in sharing data and models.FindingsWe outline the efforts of the PPME communities to achieve automated semantic interoperability for clinical resource documentation in collaboration with the RICORDO project. Current community practices in resource documentation and knowledge management are overviewed. Furthermore, requirements and improvements sought by the PPME communities to current documentation practices are discussed. The RICORDO plan and effort in creating a representational framework and associated open software toolkit for the automated management of PPME metadata resources is also described.ConclusionsRICORDO is providing the PPME community with tools to effect, share and reason over clinical resource annotations. This work is contributing to the semantic interoperability of DMRs through ontology-based annotation by (i) supporting more effective navigation and re-use of clinical DMRs, as well as (ii) sustaining interoperability operations based on the criterion of biological similarity. Operations facilitated by RICORDO will range from automated dataset matching to model merging and managing complex simulation workflows. In effect, RICORDO is contributing to community standards for resource sharing and interoperability.

U2 - 10.1186/1756-0500-4-313

DO - 10.1186/1756-0500-4-313

M3 - Article

VL - 4

SP - 313

JO - BMC Research Notes

JF - BMC Research Notes

SN - 1756-0500

ER -