ProvCaRe Semantic Provenance Knowledgebase: Evaluating Scientific Reproducibility of Research Studies.

ProvCaRe Semantic Provenance Knowledgebase: Evaluating Scientific Reproducibility of Research Studies. AMIA Annu Symp Proc. 2017;2017:1705-1714 Authors: Valdez J, Kim M, Rueschman M, Socrates V, Redline S, Sahoo SS Abstract Scientific reproducibility is critical for biomedical research as it enables us to advance science by building on previous results, helps ensure the success of increasingly expensive drug trials, and allows funding agencies to make informed decisions. However, there is a growing "crisis" of reproducibility as evidenced by a recent Nature journal survey of more than 1500 researchers that found that 70% of researchers were not able to replicate results from other research groups and more than 50% of researchers were not able reproduce their own research results. In 2016, the National Institutes of Health (NIH) announced the "Rigor and Reproducibility" guidelines to support reproducibility in biomedical research. A key component of the NIH Rigor and Reproducibility guidelines is the recording and analysis of "provenance" information, which describes the origin or history of data and plays a central role in ensuring scientific reproducibility. As part of the NIH Big Data to Knowledge (BD2K)-funded data provenance project, we have developed a new informatics framework called Provenance for Clinical and Healthcare Research (ProvCaRe) to extract, model, and analyze provenance information from published literature describ...
Source: AMIA Annual Symposium Proceedings - Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research