Merge pull request #55 from NIEHS/staging-public

Staging public

chapters/01-01-getting-started.Rmd

@@ -104,7 +104,7 @@ library(utils)
 
 This section highlights resources for getting started with `R`, geospatial data analysis, and/or climate change and human health related research methods.
 
-- The BUSPH-HSPH Climate Change and Health Research Coordinating Center ([CAFÉ](https://climatehealthcafe.org)) provides training and education materials for climate change and human health research in different formats for various types of users. The [Climate CAFÉ Tutorials and Code Walkthroughs](https://climate-cafe.github.io/cafe_github_org.html) demonstrate geospatial data management and analysis in climate change and human health research using `R`. CAFÉ also provides a series of [video tutorials](https://climatehealthcafe.org/training) demonstrating the use of geographic information systems (GIS) in environmental health and a list of [educational materials on climate and health](https://climatehealthcafe.org/training).
+- The BUSPH-HSPH Climate Change and Health Research Coordinating Center ([CAFÉ](https://climatehealthcafe.org){target="_blank"}) provides training and education materials for climate change and human health research in different formats for various types of users. The [Climate CAFÉ Tutorials and Code Walkthroughs](https://climate-cafe.github.io/cafe_github_org.html) demonstrate geospatial data management and analysis in climate change and human health research using `R`. CAFÉ also provides a series of [video tutorials](https://climatehealthcafe.org/training) demonstrating the use of geographic information systems (GIS) in environmental health and a list of [educational materials on climate and health](https://climatehealthcafe.org/training).
 
 - The [inTelligence And Machine lEarning (TAME) Toolkit](https://uncsrp.github.io/Data-Analysis-Training-Modules/) provides tutorials for data generation, management, and analysis in environmental health research using `R`. The TAME Toolkit [Chapter 1](https://uncsrp.github.io/Data-Analysis-Training-Modules/introduction-to-coding-in-r.html#introduction-to-coding-in-r) includes a guide for installing and getting started with `R` and an introduction to data science methods in `R`. The TAME Toolkit also includes tutorials with `R` code demonstrating geospatial data analysis methods in environmental health (e.g., [Chapter 3.3](https://uncsrp.github.io/Data-Analysis-Training-Modules/database-integration-air-quality-mortality-and-environmental-justice-data.html#database-integration-air-quality-mortality-and-environmental-justice-data)).