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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2011
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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 |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-3194121 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT sestoftpeter organizingresearchdata |