Data for Discovery

The benefits of personalizing discovery are already playing themselves out in the consumer space, suggesting tremendous opportunities for using data to personalize the research process. Given the scale of data needed for effective personalization, the implications of changing discovery processes will cascade through the scholarly ecosystem.

PLOS' Bold Data Policy

PLOS has set a new policy, requiring authors to make all data behind their published results publicly available. This has been met with a great deal of controversy from the research community. Thoughts on why this policy and why now…

Data Detectives: Investigating What is, and What is Not, Measured

Businesses are using more data than ever to inform decision making. While the truly large Big Data may be limited to the likes of Google, Amazon, and Facebook, publishers are nonetheless managing more data than ever before. While the technical challenges may be less daunting with smaller data sets, there remain challenges in interpreting data and in using it to make informed decisions. Perhaps the most daunting challenge is in understanding the limitations of the dataset: What is being measured and, just as importantly, what is not being measured? What inferences and conclusions can be drawn and what is mere conjecture? Where are the bricks and mortar solid and where does the foundation give way beneath our feet?