Today’s Love Your Data Week’s post is by Tiffany Grant PhD, Interim Assistant Director for Research and Informatics at the Health Sciences Library (HSL) and Research Informationist.
The Big 3 of Data
Documenting, describing and defining your data are the 3 most critical components of good data management and your data legacy. If done properly, documentation ensures accurate interpretation and reproducibility of your data. Additionally, it improves the integrity of the scholarly record by providing a more complete picture of how your research was conducted.
Data Things to Do
Document all file names and formats associated with your project
Describe how your data was derived including a description of any equipment and/or software used in the process
Describe your file naming conventions and folder structures
Define any abbreviations, variables or codes used in your data or your file names/folders
Big 3 Data Basics
Who: Who are the contributors?
What: What kind of data was collected and what analyses were done to generate the data?
Why: Why was the project started, i.e. what questions did you hope to answer?
Where: Where did you get your data (if you aren’t the creator)? What is the physical location of the data?
How: How was your data generated?
Message of the day
Good documentation tells people they can trust your data by enabling validation, replication, and reuse.
Today’s LYD post features the thoughts of Dylan Shields, the Graduate Assistant for the Chemistry-Biology Library and Chemistry Graduate Student in Anna Gudmundsdottir’s Lab.
Welcome back to another edition of Love Your Data Week!!
The first topic for this week is going to focus on DEFINING DATA QUALITY!
So what IS data quality? Well, first off it is important to note that data quality definitions and practices can differ quite vastly depending on the field of study. However, there are a few markers of data quality that can be broadly applicable to most research. These markers include: accuracy, consistency, completeness, and accessibility.
So what are these markers and why are they important?
If you have an interest in connecting with others using or learning about GIS, then please join the GIS Learning Community at an upcoming meeting.
Date: Feb 1st , March 8th , April 12th
Time: 3:15 pm to 4:25 pm
Venue: 462 Langsam
GIS stands for Geographic Information Systems. The goal of the community is to create a user-driven forum for novice and expert practitioners to come together and discuss tools, resources and solutions to questions and new projects that develop as researchers consider the spatial aspects of their data. We invite interested individual across all of UC to join us in building this community.
Want to work with a geographic information system (GIS) but are not sure where to start?
This workshop is for individuals who want to visualize spatial patterns in data but have no experience with a geographic information system (GIS) software or who want to learn about resources available to the UC community through UC Libraries and the Department of Geography. Workshop instructors will guide participants as they create a GIS using the software ARCGIS to visualize a dataset and create a map providing further insight into the data.
Monday March 14 1-3 pm GIS Lab – 415 Braunstein Hall