Optimizing the quality of research in Veterinary Parasitology
Experimental Parasitology, ISSN: 0014-4894, Vol: 239, Page: 108303
2022
- 10Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures10
- Readers10
- 10
Article Description
Countless research is carried out until new discoveries are transformed into products or services available to the population. This trajectory can be slower and more costly or even impossible when irreproducible data are obtained in the most diverse fields of science. Thus, quality management appears as an essential tool to guarantee the reliability of academic research results. In this work, we demonstrate the applied strategy to implement a Quality Management System (QMS) in a research laboratory in Veterinary Parasitology and we highlight the adaptable quality requirements in this scientific research environment. For this, the Plan-Do-Check-Act (PDCA) quality tool was used, and two internal audits were performed, one before and one after implementation. The audits reached 67 (41.36%) and 157 (96.91%) points before and after implementation, respectively, with a significant difference between the moments studied. Thus, we demonstrate that the adoption of QMS principles in research is feasible. The methodology applied in this work can be adopted by managers from other laboratories interested in the implementation of quality standards as a support in the reproducibility of research.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0014489422000972; http://dx.doi.org/10.1016/j.exppara.2022.108303; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85132452001&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/35716768; https://linkinghub.elsevier.com/retrieve/pii/S0014489422000972; https://dx.doi.org/10.1016/j.exppara.2022.108303
Elsevier BV
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