<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data Overuse on Sara Weston</title><link>https://sarajweston.com/tags/data-overuse/</link><description>Recent content in Data Overuse on Sara Weston</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 01 Jan 2022 00:00:00 +0000</lastBuildDate><atom:link href="https://sarajweston.com/tags/data-overuse/index.xml" rel="self" type="application/rss+xml"/><item><title>Data overuse in aging research: Emerging issues and potential solutions</title><link>https://sarajweston.com/publication/mroczek-data-2022/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://sarajweston.com/publication/mroczek-data-2022/</guid><description>Public longitudinal datasets are a gift to aging research, but heavy reuse of a few of them can make the literature look more independent and more certain than it is. We describe three problems and a set of solutions.</description></item></channel></rss>