Requesting feedback on draft Community Group Report - "How to Make Natural Product – Drug Interaction Study Data Findable, Accessible, Interoperable And Reusable (FAIR)"

Hello,

Would anyone interested please take a look at our draft Semantic Web in 
Health Care and Life Sciences Community Group Report titled "How to Make 
Natural Product – Drug Interaction Study Data Findable, Accessible, 
Interoperable And Reusable (FAIR)":

https://w3id.org/hclscg/npdi

The abstract of this Report is copied below. The report is a the results 
of a volunteer multidisciplinary task force. We feel that this is very 
close to being ready to publish. Feel free to email feedback to this 
list or post issues on the project's github: 
https://github.com/w3c/hcls-natural-product-drug-interaction-fair/

Abstract:

Concomitant use of therapeutic drugs and natural products, including 
vitamins, minerals, herbal medicinal products, and other botanicals, is 
a frequent occurrence. Concomitant exposure of natural products with 
approved pharmaceutical therapies raises concerns of possible natural 
product-drug interactions (NPDIs) that could lead to patient harm. 
Research on NPDIs includes studies that characterize natural product 
chemical constituents, elucidate pharmacologic mechanisms, and identify 
potential clinical impact of NPDI exposure. The different kinds of 
datasets that arise from these various kinds of studies range from mass 
spectrometric to in vitro and in vivo pharmacokinetics. There is a 
growing recognition by both researchers and agencies that fund research 
that NPDI study datasets should be more findable, accessible, 
interoperable, and reusable (FAIR). The purpose of this Community Group 
Report is to propose a set of recommended approaches to help NPDI 
researchers make their data more FAIR. This report provides FAIR data 
recommendations organized into general and research-specific categories. 
The recommendations are written in manner intended to help researchers 
quickly identify and adopt those FAIR data practices most relevant to 
their research.

Thank you very much!

-Rich Boyce

-- 

Richard D Boyce, PhD
Associate Professor of Biomedical Informatics and Clinical and Translational Science in the Clinical and Translational
Science Institute
Director of the Informatics Core for the Center of Excellence for Natural Product- Drug Interaction Research (NaPDI)
Faculty, Center for Pharmaceutical Policy and Prescribing
Faculty, Geriatric Pharmaceutical Outcomes and Gero-Informatics Research and Training Program
University of Pittsburgh
rdb20@pitt.edu
Office: 412-648-9219
Twitter: @bhaapgh

Received on Tuesday, 29 September 2020 10:18:25 UTC