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Structuring research methods and data with the research object model: genomics workflows as a case study

BACKGROUND: One of the main challenges for biomedical research lies in the computer-assisted integrative study of large and increasingly complex combinations of data in order to understand molecular mechanisms. The preservation of the materials and methods of such computational experiments with clea...

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Autores principales: Hettne, Kristina M, Dharuri, Harish, Zhao, Jun, Wolstencroft, Katherine, Belhajjame, Khalid, Soiland-Reyes, Stian, Mina, Eleni, Thompson, Mark, Cruickshank, Don, Verdes-Montenegro, Lourdes, Garrido, Julian, de Roure, David, Corcho, Oscar, Klyne, Graham, van Schouwen, Reinout, ‘t Hoen, Peter A C, Bechhofer, Sean, Goble, Carole, Roos, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4177597/
https://www.ncbi.nlm.nih.gov/pubmed/25276335
http://dx.doi.org/10.1186/2041-1480-5-41
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author Hettne, Kristina M
Dharuri, Harish
Zhao, Jun
Wolstencroft, Katherine
Belhajjame, Khalid
Soiland-Reyes, Stian
Mina, Eleni
Thompson, Mark
Cruickshank, Don
Verdes-Montenegro, Lourdes
Garrido, Julian
de Roure, David
Corcho, Oscar
Klyne, Graham
van Schouwen, Reinout
‘t Hoen, Peter A C
Bechhofer, Sean
Goble, Carole
Roos, Marco
author_facet Hettne, Kristina M
Dharuri, Harish
Zhao, Jun
Wolstencroft, Katherine
Belhajjame, Khalid
Soiland-Reyes, Stian
Mina, Eleni
Thompson, Mark
Cruickshank, Don
Verdes-Montenegro, Lourdes
Garrido, Julian
de Roure, David
Corcho, Oscar
Klyne, Graham
van Schouwen, Reinout
‘t Hoen, Peter A C
Bechhofer, Sean
Goble, Carole
Roos, Marco
author_sort Hettne, Kristina M
collection PubMed
description BACKGROUND: One of the main challenges for biomedical research lies in the computer-assisted integrative study of large and increasingly complex combinations of data in order to understand molecular mechanisms. The preservation of the materials and methods of such computational experiments with clear annotations is essential for understanding an experiment, and this is increasingly recognized in the bioinformatics community. Our assumption is that offering means of digital, structured aggregation and annotation of the objects of an experiment will provide necessary meta-data for a scientist to understand and recreate the results of an experiment. To support this we explored a model for the semantic description of a workflow-centric Research Object (RO), where an RO is defined as a resource that aggregates other resources, e.g., datasets, software, spreadsheets, text, etc. We applied this model to a case study where we analysed human metabolite variation by workflows. RESULTS: We present the application of the workflow-centric RO model for our bioinformatics case study. Three workflows were produced following recently defined Best Practices for workflow design. By modelling the experiment as an RO, we were able to automatically query the experiment and answer questions such as “which particular data was input to a particular workflow to test a particular hypothesis?”, and “which particular conclusions were drawn from a particular workflow?”. CONCLUSIONS: Applying a workflow-centric RO model to aggregate and annotate the resources used in a bioinformatics experiment, allowed us to retrieve the conclusions of the experiment in the context of the driving hypothesis, the executed workflows and their input data. The RO model is an extendable reference model that can be used by other systems as well. AVAILABILITY: The Research Object is available at http://www.myexperiment.org/packs/428 The Wf4Ever Research Object Model is available at http://wf4ever.github.io/ro ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2041-1480-5-41) contains supplementary material, which is available to authorized users.
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spelling pubmed-41775972014-09-29 Structuring research methods and data with the research object model: genomics workflows as a case study Hettne, Kristina M Dharuri, Harish Zhao, Jun Wolstencroft, Katherine Belhajjame, Khalid Soiland-Reyes, Stian Mina, Eleni Thompson, Mark Cruickshank, Don Verdes-Montenegro, Lourdes Garrido, Julian de Roure, David Corcho, Oscar Klyne, Graham van Schouwen, Reinout ‘t Hoen, Peter A C Bechhofer, Sean Goble, Carole Roos, Marco J Biomed Semantics Research BACKGROUND: One of the main challenges for biomedical research lies in the computer-assisted integrative study of large and increasingly complex combinations of data in order to understand molecular mechanisms. The preservation of the materials and methods of such computational experiments with clear annotations is essential for understanding an experiment, and this is increasingly recognized in the bioinformatics community. Our assumption is that offering means of digital, structured aggregation and annotation of the objects of an experiment will provide necessary meta-data for a scientist to understand and recreate the results of an experiment. To support this we explored a model for the semantic description of a workflow-centric Research Object (RO), where an RO is defined as a resource that aggregates other resources, e.g., datasets, software, spreadsheets, text, etc. We applied this model to a case study where we analysed human metabolite variation by workflows. RESULTS: We present the application of the workflow-centric RO model for our bioinformatics case study. Three workflows were produced following recently defined Best Practices for workflow design. By modelling the experiment as an RO, we were able to automatically query the experiment and answer questions such as “which particular data was input to a particular workflow to test a particular hypothesis?”, and “which particular conclusions were drawn from a particular workflow?”. CONCLUSIONS: Applying a workflow-centric RO model to aggregate and annotate the resources used in a bioinformatics experiment, allowed us to retrieve the conclusions of the experiment in the context of the driving hypothesis, the executed workflows and their input data. The RO model is an extendable reference model that can be used by other systems as well. AVAILABILITY: The Research Object is available at http://www.myexperiment.org/packs/428 The Wf4Ever Research Object Model is available at http://wf4ever.github.io/ro ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2041-1480-5-41) contains supplementary material, which is available to authorized users. BioMed Central 2014-09-18 /pmc/articles/PMC4177597/ /pubmed/25276335 http://dx.doi.org/10.1186/2041-1480-5-41 Text en © Hettne et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research
Hettne, Kristina M
Dharuri, Harish
Zhao, Jun
Wolstencroft, Katherine
Belhajjame, Khalid
Soiland-Reyes, Stian
Mina, Eleni
Thompson, Mark
Cruickshank, Don
Verdes-Montenegro, Lourdes
Garrido, Julian
de Roure, David
Corcho, Oscar
Klyne, Graham
van Schouwen, Reinout
‘t Hoen, Peter A C
Bechhofer, Sean
Goble, Carole
Roos, Marco
Structuring research methods and data with the research object model: genomics workflows as a case study
title Structuring research methods and data with the research object model: genomics workflows as a case study
title_full Structuring research methods and data with the research object model: genomics workflows as a case study
title_fullStr Structuring research methods and data with the research object model: genomics workflows as a case study
title_full_unstemmed Structuring research methods and data with the research object model: genomics workflows as a case study
title_short Structuring research methods and data with the research object model: genomics workflows as a case study
title_sort structuring research methods and data with the research object model: genomics workflows as a case study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4177597/
https://www.ncbi.nlm.nih.gov/pubmed/25276335
http://dx.doi.org/10.1186/2041-1480-5-41
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