Ten simple rules for a successful international consortium in big data omics
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The Human Genome Project (HGP) [2] marked a key departure from an individualistic to a more collaborative approach in the field of biology. Grant providers like the European...
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| Veröffentlicht in: | PLoS computational biology 2022-10, Vol.18 (10), p.e1010546-e1010546 |
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| container_title | PLoS computational biology |
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| creator | Stobbe, Miranda D Gonzalez-Perez, Abel Lopez-Bigas, Nuria Gut, Ivo Glynne |
| description | The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The Human Genome Project (HGP) [2] marked a key departure from an individualistic to a more collaborative approach in the field of biology. Grant providers like the European Commission provide documents with guidance on this (https://ec.europa.eu/research/participants/data/ref/h2020/other/gm/h2020-guide-cons-a_en.pdf). The main tasks of the steering committee should be to enforce the rules in the day-to-day functioning of the consortium, ensure that the work within the consortium contributes to the overall scientific objectives (Rule 2), and is in line with its quality standards. |
| doi_str_mv | 10.1371/journal.pcbi.1010546 |
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| subjects | Big Data Biology Biology and Life Sciences Breast cancer Cancer Computer and Information Sciences Consortia Data collection Datasets Decision analysis Engineering and Technology Funding Genomes Human Genome Project Medicine and Health Sciences People and Places Quality standards Research and analysis methods Science Policy Scientists Social Sciences Tumors Working groups |
| title | Ten simple rules for a successful international consortium in big data omics |
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