Data Curation and Analysis
Data Management, Curation, and Publication
Data curation addresses the challenge of ensuring reproducible and redistributable data, as well as archiving datasets for the long term. We can advise you about how best to encode and preserve your data using appropriate standards and can also recommend appropriate repositories for your research data. Data management plans are required by most funding agencies and publishing datasets alongside scholarly papers is becoming the norm. As a result of the OPEN Government Data Act (2019), the federal government hosts https://resources.data.gov, a repository for Federal Enterprise Data resources including tools and guidance on how to use and manage federal data.
Key topics related to curating your research data include:
Data Analysis and Visualization Tools
We offer tutorials and classes to help you with your research data in several areas:
- programming in languages such as Python, R, or XQuery
- data cleaning using tools like Open Refine
- data visualization using tools like Tableau and ggplot
- code organization using tools like Jupyter notebooks and R Markdown
Cloud Services and Linked Data
As more and more data and computing moves to the cloud, keep up to date by learning about: