Working with over-time census data is challenging because of changes to block groups and tracts.
You can now download a dataset containing over 1.4 million grants. The data was created by IBM Watson’s Causebot by extracting fields from the IRS e-files (very little documentation provided).
A recent study by Morgen Johansen and Jessica Sowa examines how human resource practices impact nonprofit performance in the context of hospitals.
The scholars Márcia Santos, Raul Laureano, and Sérgio Moro have a forthcoming article in VOLUNTAS titled, “Unveiling Research Trends for Organizational Reputation in the Nonprofit Sector”.
The Urban Institute has streamlined the process for writing their annual Nonprofit Sector in Brief publication by opening up their data and creating data-driven documents using R and markdown. For an overview of the process check out their recent blog.
Dataworld, a social network for data sharing, has over 250 datasets listed related to NGOs and nonprofits.
A couple of recent publications highlight potential uses of “big data” for traditional M&E or program evaluation purposes.
David Oldenkamp, formerly the International Documents Librarian at Indiana University, started a database of 415 international NGOs and their web domains. The list has been expanded and incorporated into a an NGO custom search engine to search within all of the domains for content.
The BBC has published their Graphics Library built using ggplot2 in R.