A generic schema and data collection forms applicable to diverse entomological studies of mosquitoes

Background Standardized schemas, databases, and public data repositories are needed for the studies of malaria vectors that encompass a remarkably diverse array of designs and rapidly generate large data volumes, often in resource-limited tropical settings lacking specialized software or informatics support. Results Data from the majority of mosquito studies conformed to a generic schema, with data collection forms recording the experimental design, sorting of collections, details of sample pooling or subdivision, and additional observations. Generically applicable forms with standardized attribute definitions enabled rigorous, consistent data and sample management with generic software and minimal expertise. Forms use now includes 20 experiments, 8 projects, and 15 users at 3 research and control institutes in 3 African countries, resulting in 11 peer-reviewed publications. Conclusion We have designed generic data schema that can be used to develop paper or electronic based data collection forms depending on the availability of resources. We have developed paper-based data collection forms that can be used to collect data from majority of entomological studies across multiple study areas using standardized data formats. Data recorded on these forms with standardized formats can be entered and linked with any relational database software. These informatics tools are recommended because they ensure that medical entomologists save time, improve data quality, and data collected and shared across multiple studies is in standardized formats hence increasing research outputs. Electronic supplementary material The online version of this article (doi:10.1186/s13029-016-0050-1) contains supplementary material, which is available to authorized users.

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PID https://www.doi.org/10.1186/s13029-016-0050-1
PID pmc:PMC4809029
PID pmid:27022408
URL http://europepmc.org/articles/PMC4809029
URL https://academic.microsoft.com/#/detail/2310744013
URL https://scfbm.biomedcentral.com/articles/10.1186/s13029-016-0050-1
URL https://espace.library.uq.edu.au/view/UQ:384538
URL http://ihi.eprints.org/3707/
URL https://researchonline.jcu.edu.au/43695/
URL https://core.ac.uk/display/81632394
URL http://archive.lstmed.ac.uk/5828/
URL https://edoc.unibas.ch/42379/
URL https://scfbm.biomedcentral.com/track/pdf/10.1186/s13029-016-0050-1
URL http://link.springer.com/content/pdf/10.1186/s13029-016-0050-1
URL https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4809029/
URL https://link.springer.com/article/10.1186/s13029-016-0050-1
URL https://dblp.uni-trier.de/db/journals/scfbm/scfbm11.html#KiwareRMMCLCCMG16
URL http://dx.doi.org/10.1186/s13029-016-0050-1
URL https://stacks.cdc.gov/view/cdc/38839
URL https://archive.lstmed.ac.uk/5828/1/Source_Code_Biol_Med_11_4_A%20generic%20schema%20and%20data%20collection.pdf
URL https://dx.doi.org/10.1186/s13029-016-0050-1
URL https://doi.org/10.1186/s13029-016-0050-1
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Access Right Open Access
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Author Tanya Russell, 0000-0002-0920-6844
Author Samson Kiware, 0000-0001-7252-520X
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Collected From Europe PubMed Central; PubMed Central; ORCID; UnpayWall; Datacite; Digital Library of the Tanzania Health Community; Crossref; Microsoft Academic Graph; CORE (RIOXX-UK Aggregator)
Hosted By Europe PubMed Central; SpringerOpen; Source Code for Biology and Medicine; Digital Library of the Tanzania Health Community; LSTM Online Archive
Journal Source Code for Biology and Medicine, 11, 1
Publication Date 2016-03-28
Publisher Springer Nature
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Country Tanzania (United Republic of)
Format application/pdf
Language English
Resource Type Other literature type; Article; UNKNOWN
system:type publication
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::34ee3e4377e26a110ebfce07c5799fac
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Last Updated 23 December 2020, 03:56 (CET)
Created 23 December 2020, 03:56 (CET)