InfoQualityLab

author_network_analysis

DDI_Evidence_Classification

DDI_Ontology_NLP Combine machine learning and knowledge representation to facilitate the process of assessing evidence from studies of drug-drug interaction by using an existing ontology of evidence types (e.g. DDI clinical trials vs. pharmacokinetic trials), as the backbone to develop a series of classifiers that categorize a DDI study’s evidence type based on its textual characteristics.

DDI_Ontology_NLP

Combine machine learning and knowledge representation to facilitate the process of assessing evidence from studies of drug-drug interaction by using an existing ontology of evidence types (e.g. DDI clinical trials vs. pharmacokinetic trials), as the backbone to develop a series of classifiers that categorize a DDI study’s evidence type based on its textual characteristics.

JCDL-2024-triage-approach

NER-Model

A natural language processing model aim for extracting name of persons, entities, organizations and locations.

openpayments-api

Retraction-Case-Study-Matsuyama

Retraction Case Study Matsuyama

RSCS-collaboration

Code developed as part of the RSCS collaboration

text-mining-scholarly-API

Visualization_Tools

infoqualitylab/DDI_Evidence_Classification

DDI_Ontology_NLP Combine machine learning and knowledge representation to facilitate the process of assessing evidence from studies of drug-drug interaction by using an existing ontology of evidence types (e.g. DDI clinical trials vs. pharmacokinetic trials), as the backbone to develop a series of classifiers that categorize a DDI study’s evidence type based on its textual characteristics.

infoqualitylab/DDI_Ontology_NLP

Combine machine learning and knowledge representation to facilitate the process of assessing evidence from studies of drug-drug interaction by using an existing ontology of evidence types (e.g. DDI clinical trials vs. pharmacokinetic trials), as the backbone to develop a series of classifiers that categorize a DDI study’s evidence type based on its textual characteristics.

infoqualitylab/RSCS-collaboration

Code developed as part of the RSCS collaboration

infoqualitylab/author_network_analysis

infoqualitylab/Retraction-Case-Study-Matsuyama

Retraction Case Study Matsuyama

infoqualitylab/text-mining-scholarly-API

infoqualitylab/Visualization_Tools

infoqualitylab/JCDL-2024-triage-approach

infoqualitylab/NER-Model

A natural language processing model aim for extracting name of persons, entities, organizations and locations.

infoqualitylab/NER-tool-assessment-for-funding-organization-extraction

infoqualitylab/openpayments-api

infoqualitylab/website

Website

infoqualitylab/CEEDER_study

infoqualitylab/citation_bias_study

infoqualitylab/Citation_Context_Analysis

Conduct a pilot study to implement a citation context analysis system

infoqualitylab/code_for_the_inclusion_net_manuscript

infoqualitylab/computable-bibliography

infoqualitylab/controversy_dataset_development

Scripts used to develop datasets of controversies in science

infoqualitylab/crossref_funder_data_utility

infoqualitylab/Empirical-Retraction-Lit

Empirical Retraction Lit bibliography content, website, and web maintenance info

infoqualitylab/InclusionCriteria

code for Machine classification of inclusion criteria from Cochrane systematic reviews

infoqualitylab/MCTagger-eval

Multi-Tagger evaluation

infoqualitylab/network_motif_analysis

infoqualitylab/retraction-indexing-agreement

infoqualitylab/Scopus_author_info_tool

infoqualitylab/Tagger_Evaluation

Evaluation & error analysis of a machine learning tool to detect Randomized Controlled Trials

infoqualitylab/WhoFundedIt-app