A UNIQUE DATA VALIDATION PROCESS BY INTERNAL AND EXTERNAL QUALITY ASSURANCE SYSTEM AIMED TO COMBAT RESEARCH MALPRACTICE.
Journal Title: IJSR-International Journal Of Scientific Research - Year 2019, Vol 8, Issue 8
Abstract
Research fabrication and data fraud are one of the major concerns worldwide which are rising and evident from increasing number of retractions in peer reviewed Journals. If not checked, this can impact the reputation of a research organisation as well as the costs of translation of research data. In basic research extremely publicized cases of falsification of data have been reported and it is possible, that there are many unreported or undetected cases. In order to improve the quality standards, the validation processes were implemented for data quality at Neuroscience research lab in India for verifying PhD thesis results. Good Laboratory practices could be implicated in every research institute so that data impostures were prevented. We aimed to establish superior data quality by randomly verifying raw data in multiple projects funded by national agencies before publication of results at Neuroscience Research Lab.
Authors and Affiliations
Mr. Sushant Kaushal, Dr. Rahul Tyagi, Dr. Avijit Banik, Ms. Priya Battu, Dr. Neel Kamal Sharma, Mr. Kaushal Sharma, Prof. Akshay Anand
Keywords
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