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
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
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
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
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
I mentioned README.txt files in my previous post and I wanted to expand on this concept because README’s are one of my favorite data management tools. The reason is that many of us keep notes separate from our digital data … Continue reading
My name is Kristin Briney and I love research data. Follow my adventures with data here or contact me with questions.
My third book, "The Research Data Management Workbook".
My second book, "Managing Data for Patron Privacy," co-authored with Becky Yoose.
My first book, "Data Management for Researchers".