Science Inventory

Abstract Sifter – Innovative PubMed search and retrieval for chemical information

Citation:

Baker, Nancy C. Abstract Sifter – Innovative PubMed search and retrieval for chemical information. American Society for Cellular and Computational Toxicology (ASCCT) annual meeting Special Training Session NURA, RTP, NC, October 23, 2020. https://doi.org/10.23645/epacomptox.13103573

Impact/Purpose:

Presentation given to the The American Society for Cellular and Computational Toxicology (ASCCT) annual meeting special session entitled: Hands-on Training: Practical Applications of New Approach Methodologies (NAMs) in Chemical Safety Assessment: Applying US EPA Tools and Approaches in Practice October 23, 2020

Description:

PubMed is the largest freely available source of published literature available online with access to well over 30 million citations. Contained within the literature is an abundance of information about the activity of chemicals in biological systems. Literature informatics approaches applied to chemical toxicity research can help researchers make use of the literature in highly effective ways. The US Environmental Protection Agency (EPA)’s CCTE have developed a novel approach to article retrieval in our PubMed Abstract Sifter. This approach has been implemented and made publicly available in the Dashboard and in a Microsoft Excel version. The Dashboard version is convenient and powerful way to find information quickly and efficiently about a chemical of interest. For more in-depth literature tasks such as reviews, the Excel version of the Abstract Sifter offers additional functionality. Results from a PubMed search are imported directing into an Excel sheet where the end-user can then use a novel “sifter” methodology for quick, agile relevance ranking of articles. The tool also enables article triage capabilities through easy tagging and noting functionality. Triaged citations can be exported to external software such as reference management tools. The Abstract Sifter can also provide a high-level view of a corpus of literature for a defined set of entities such as chemicals. This “landscape” view helps researchers assess the volume of literature in any given subject area to help with project scoping and chemical ranking. Both implementations of the Abstract Sifter will be demonstrated. This abstract does not reflect EPA policy.

Record Details:

Record Type:DOCUMENT( PRESENTATION/ SLIDE)
Product Published Date:10/23/2020
Record Last Revised:10/22/2020
OMB Category:Other
Record ID: 349950