Skip Navigation
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Your Environment. Your Health.

Data Science Initiatives

Data Science Training

Information Data word art

The goal of this training series is to increase researchers' skills in data analysis, visualization, machine learning, and graph analytics.

Past training topics include:

  • Databases and Data systems
  • Environmental Health Science Datasets
  • Analysis Methods and Tools using Python
  • Data Products – Overview
  • Graph Analytics
  • Introduction to R
  • Machine Learning using R
  • Introduction to Git and GitHub

Data Science Seminar Series

This seminar series is featuring thought-leaders from research universities and the biomedical industry

Data Management at NIEHS Core Labs

The NIEHS Core Labs use a number of paper-based applications and rely heavily on human labor for data management. As part of a pilot program, ODS is implementing iRODS technology to aid in automating aspects of the Core Labs workflow. iRODS uses machine-based actional rules to automate and expedite data processes. The iRODS implementation will utilize the system’s robust permissions system as well as metadata catalogue to enable controlled, and where possible, automatic addition of file tags to the files produced through the workflow process. Searches within the metadata catalogue using the tags will enable scientific queries that are currently too labor intensive to perform as well as facilitate easy generation of budget, resource, and regulatory reports.

Environmental Health Language Collaborative

The Office of Data Science is coordinating the Environmental Health Language Collaborative. The Collaborative is a new initiative to advance community development and application of a harmonized language for describing Environmental Health Science (EHS) research. The Collaborative is part of the NIEHS effort to establish standards for EHS data and metadata that are crucial for enabling efficient data sharing, integration, and analysis of environmental data, and for advancing discovery in environmental health research. Learn more about this initiative.

Back
to Top