Additionally, we encourage you to carefully consider the security level of the data you’re working on, as this may affect data transfer and how and where it is stored. We have compiled general information about best practices, efficiency, and strategies on working with data on the HBSGrid, found on the pages in this section.

RCS provides guidance on data management and efficiency best practices, along with how to optimize your data generally and for specific software packages.

RCS has compiled an array of packages and tools that can help you with your data wrangling, web scraping, and statistical analysis, among others. Below is a selected list of tips and toolkits.

Before you start building your database, consider your goals, carefully design your database, and ensure you document the process.

The HBSGrid is primarily used for data analysis, machine learning, data wrangling, and data visualization. Usually this means that you need to copy or transfer your data to the HBSGrid in order to do your work.