Author: Kristin Briney

How to Share Your Research Data

With so many new policies from funding agencies and journals requiring data sharing, it’s growing more likely that you will encounter a data sharing mandate at some point in time. However, it can be difficult to know how to comply … Continue reading

Where to Start with Data Management

Managing your research data well feels like a big task. There are so many practices that make up good data management that there are whole classes (Oregon State, University of Minnesota) and curricula (NECDMC, MANTRA) on the topic. There’s even … Continue reading

Cloud Backup

I’m going to come right out and say that Dropbox is not a sufficient backup. If all you have are files in a Dropbox folder that are synced to the cloud, you should not consider your files to be backed … Continue reading

Data Dictionaries

Recently, I was reading through Christie Bahlai’s excellent roundup of spreadsheet best practices when I started thinking about documenting spreadsheets. You see, best practices say that spreadsheets should contain only one large data table with short variable names at the top … Continue reading

Anonymization Gone Wrong

Recently, New York City released a dataset containing information on over 170 million taxi rides in the city. While this information is a treasure-trove of information for researchers, the dataset itself is problematic due to anonymization gone wrong. This is … Continue reading

A Great Password Policy

In response to my previous blog post on strong passwords, a friend pointed out Stanford’s new password policy, which I quite like and thought worth sharing. This policy plays off probabilities, meaning that if you decrease the number of total characters … Continue reading

Strong Passwords

An important part of data management is protecting data from loss. While good storage practices are a first line of defense, there are several other things you can do to help keep your data secure. One is to use strong passwords. … Continue reading

Zero v. Null

An important aspect of data management is performing quality control on your data. This means checking your data for errors, ensuring consistent formatting, documenting the meaning of your variables, etc. Also under the umbrella of quality control is how to … Continue reading

Test Your Backups

A lot of data management is about risk prevention and near the top of that list is having a good backup system (or two). But what I want to talk about today is that it’s not enough to have a … Continue reading