Several federal funders have updated their data policies this past year. Here’s a handy recap of the big changes so you’re not caught off guard next time you apply for research funding.
Author: Research Data Service
Top Tips for Tidy Tables
These simple tips for tidy data tables will make it much easier to analyze your data while minimizing time spent on data cleaning.
Labeling Missing Data
Missing values can compromise your data’s integrity. Record known absences with one of these commonly used codes.
Introducing the Data Nudge Archive
Announcing a new way to find past issues of the Data Nudge. Previously, our past issues were saved as PDFs, but those can be hard to reuse. In this new archive, our past issues going all the way back to the beginning in 2017 are available in accessible html.
Getting Research Teams on the Same Page
Research teams succeed when everyone is on the same page. Our lab handbook template helps teams coordinate everyone’s data management practices.
Making CSV Files More Accessible
Simple strategies make your tables more reusable and compatible with adaptive technologies like screen readers, which helps maximize impact. Since the CSV format is so common, we provide some simple changes that make them easier for everyone to access, navigate, and reuse.
Is Excel secretly changing your formulas?
Have you ever felt like Excel was secretly changing your formulas? You’re not crazy. Excel has lots of hidden options that can make changes, including one that extends the ranges of formulas.
Datasets We Love: By the People
We’re celebrating Love Data Week (and America’s 250th year) by highlighting the By the People collection of datasets from the Library of Congress.
Reducing the Risk of Re-Identification
Re-identification is a real risk to privacy. Even when data has been de-identified, the more detailed the data is, the easier it is to re-identify someone and figure out who they are.
Preparing Data for AI
AI models are gobbling up research data. Learn how to help ensure AI interprets your data correctly, or to signal that you don’t want AI using your data.