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

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Kiware, Samson S., Russell, Tanya L., Mtema, Zacharia J., Malishee, Alpha D., Chaki, Prosper, Lwetoijera, Dickson, Chanda, Javan, Chinula, Dingani, Majambere, Silas, Gimnig, John E., Smith, Thomas A. and Killeen, Gerry ORCID: https://orcid.org/0000-0002-8583-8739 (2016) 'A generic schema and data collection forms applicable to diverse entomological studies of mosquitoes'. Source Code for Biology and Medicine, Vol 11, Issue 4.

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Abstract

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.

Item Type: Article
Subjects: QU Biochemistry > QU 26.5 Informatics. Automatic data processing. Computers
QX Parasitology > Insects. Other Parasites > QX 510 Mosquitoes
QX Parasitology > Insects. Other Parasites > QX 650 Insect vectors
WC Communicable Diseases > Tropical and Parasitic Diseases > WC 750 Malaria
Faculty: Department: Biological Sciences > Vector Biology Department
Digital Object Identifer (DOI): https://doi.org/10.1186/s13029-016-0050-1
Depositing User: Jessica Jones
Date Deposited: 31 Mar 2016 12:55
Last Modified: 16 Sep 2019 10:12
URI: https://archive.lstmed.ac.uk/id/eprint/5828

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