As part of several national research consortia, namely the Library of Integrated Network-based Cellular Signatures (LINCS), Big Data to Knowledge (BD2K), Illuminating the Druggable Genome (IDG), and Radical Acceleration of Diagnostics (RADx), we have developed data standards, ontologies, and software tools to harmonize, annotate, and formally describe diverse biological data types to support the research community’s goals of making these digital resources Findable, Accessible, Interoperable, and Reusable (FAIR).  Such data include multi-omics datasets, chemical biology data, biochemical target data, chemical structures, cell lines, proteins and more.  To standardize and integrate these datasets we leverage ontologies including BioAssay Ontology (BAO), Drug Target Ontology (DTO), Cell Line Ontology (CLO), which we developed or co-developed.  BAO was recently expanded significantly to include pharmacokinetics-, pharmacokinetics-, and drug safety assays.  DTO was expanded to include the majority of druggable proteins.<br/>To enable FAIR data in practice, we have developed and implemented infrastructure and processes to handle the entire data management pipeline from receiving data and metadata, registration, annotation, mapping to external reference resources, and publication, implemented in software tools such as the Resource Submission System (RSS, https://rss.ccs.miami.edu/) and the LINCS Data Portal (LDP, http://lincsportal.ccs.miami.edu/) of the IDG and LINCS programs, respectively.  We are also developing better data curation tools and a novel tool, OntoloBridge (https://ontolobridge.ccs.miami.edu/) to facilitate the interaction and coordination of ontology users and -maintainers.<br/>In combination, data standards, ontologies, and research data management software tools enable FAIR open data that drive scientific research.

Enabling research via FAIR and open data

Fall 2022 abstracts, posters, and presentations will launch in mid-September.

ACS Fall 2022

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.