No matter what your domain of interest or expertise, the internet is a treasure trove of useful data that comes in many shapes, forms, and sizes, from beautifully documented fast APIs to data that need to be scraped from deep inside of 1990s html pages. In this 3 hour tutorial you will learn how to programmatically read in various types of web data from experts in the field (Founders of the rOpenSci project and the training lead of RStudio). By the end of the tutorial you will have a basic idea of how to wrap an R package around a standard API, extract common non-standard data formats, and scrape data into tidy data frames from web pages.
The World Bank makes available a ton of great data from the World Development Indicators through its web API. The WDI package for R makes it easy to search and download data series from the WDI.
These publications provide information about ANDS services and some fundamental issues in data-intensive research and research data management. These are not rules, prescriptions or proscriptions. They are guidelines and checklists to inform and broaden the range of possibilities for researchers, data managers, and research organisations.
The growing number of digital health devices and apps presents healthcare organizations with an opportunity to use the resulting data and improve their outcomes. This requires, however, a need to build and manage integrations to acquire this data. Validic solves this challenge by providing a one-to-many connection to digital health technologies.
Validic is a cloud-based technology platform that connects patient-recorded data from digital health applications, devices and wearables to key healthcare companies like hospital
systems, providers, pharmaceutical companies, payers, health information technology platforms, health clubs and wellness companies. With access to this information, Validic’s clients can accelerate their strategic healthcare initiatives — from patient engagement and population management to care coordination, wellness programs and more.