Objective Differential privacy is a relatively new method for data privacy that has seen
growing use due its strong protections that rely on added noise. This study assesses the …

Background: Health researchers are increasingly using natural language processing (NLP)
to study various mental health conditions using both social media and electronic health …

Both academic and public interest in social media and their effects have increased
dramatically over the last decade. In particular, a plethora of studies have been conducted …

Open data collected from research participants creates a tension between scholarly values
of transparency and sharing, on the one hand, and privacy and security, on the other hand …

Open data-sharing is a valuable practice that ought to enhance the impact, reach, and
transparency of a research project. While widely advocated by many researchers and …

Traditionally, access to research information has been restricted through journal
subscriptions. This means that research entities and individuals who were unable to afford …

Understanding people's movement patterns has many important applications, from
analyzing habits and social behaviors, to predicting the spread of disease. Information …

Open science practices are quickly being scaled up with publishers, grant‐makers, and
Institutional Review Boards implementing new open policies, including requirements for …

Purpose: Poor anonymity and confidential strategies by a researcher not only develop
unprecedented and precedented harm to participants but also impacts the overall critical …

As open science principles continue to gain traction, striking a balance between patient
privacy and data accessibility has become more crucial in medical research than ever …