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Organizing research data

Research relies on ever larger amounts of data from experiments, automated production equipment, questionnaries, times series such as weather records, and so on. A major task in science is to combine, process and analyse such data to obtain evidence of patterns and correlations. Most research data a...

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Detalles Bibliográficos
Autor principal: Sestoft, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3194121/
https://www.ncbi.nlm.nih.gov/pubmed/21999359
http://dx.doi.org/10.1186/1751-0147-53-S1-S2
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author Sestoft, Peter
author_facet Sestoft, Peter
author_sort Sestoft, Peter
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description Research relies on ever larger amounts of data from experiments, automated production equipment, questionnaries, times series such as weather records, and so on. A major task in science is to combine, process and analyse such data to obtain evidence of patterns and correlations. Most research data are on digital form, which in principle ensures easy processing and analysis, easy long-term preservation, and easy reuse in future research, perhaps in entirely unanticipated ways. However, in practice, obstacles such as incompatible or undocumented data formats, poor data quality and lack of familiarity with current technology prevent researchers from making full use of available data. This paper argues that relational databases are excellent tools for veterinary research and animal production; provides a small example to introduce basic database concepts; and points out some concerns that must be addressed when organizing data for research purposes.
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spelling pubmed-31941212011-10-17 Organizing research data Sestoft, Peter Acta Vet Scand Proceedings Research relies on ever larger amounts of data from experiments, automated production equipment, questionnaries, times series such as weather records, and so on. A major task in science is to combine, process and analyse such data to obtain evidence of patterns and correlations. Most research data are on digital form, which in principle ensures easy processing and analysis, easy long-term preservation, and easy reuse in future research, perhaps in entirely unanticipated ways. However, in practice, obstacles such as incompatible or undocumented data formats, poor data quality and lack of familiarity with current technology prevent researchers from making full use of available data. This paper argues that relational databases are excellent tools for veterinary research and animal production; provides a small example to introduce basic database concepts; and points out some concerns that must be addressed when organizing data for research purposes. BioMed Central 2011-06-20 /pmc/articles/PMC3194121/ /pubmed/21999359 http://dx.doi.org/10.1186/1751-0147-53-S1-S2 Text en Copyright ©2011 Sestoft; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 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 cited.
spellingShingle Proceedings
Sestoft, Peter
Organizing research data
title Organizing research data
title_full Organizing research data
title_fullStr Organizing research data
title_full_unstemmed Organizing research data
title_short Organizing research data
title_sort organizing research data
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3194121/
https://www.ncbi.nlm.nih.gov/pubmed/21999359
http://dx.doi.org/10.1186/1751-0147-53-S1-S2
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