Managing research data is important to ensure your research is clear, reproducible, and the data can be shared with other researchers outside your institution. This is a different set of skills from data collection and data analysis, which are both very important. Data management involves the careful planning of data structure, naming, storage, sharing, and archiving.
Some publishers also require you to provide a Data Management Plan, which is essentially information on where and how you will make your data available in a repository or upon request.
Source: Data Sharing and Management Snafu in 3 Short Acts by Karen Hanson, Alisa Surkis & Karen Yacobucci, New York University Health Sciences Libraries under a CC-BY license.
Research Data Management - CalTech
Data Management for Research - Carnegie Mellon Univ
Research Data Management - USC Library
Data Management General Guidance - DMPTool
Viewing and Securing Confidential Information
Because we deal with patient information, HonorHealth researchers are responsible for knowing and following HonorHealth’s Information Security and Patient Privacy policies. Refer to the Information Security and Patient Privacy Areas in the Policy Library to familiarize yourself with current policies.
Recommended Policy Reviews include:
Common Mistakes in Data Management and Sharing
The short video "Data Sharing and Management Snafu in 3 short acts" shows a few ways researchers can make mistakes when managing and sharing data. What seemed like a logical order and plan tot he researcher did not translate well when someone else wanted to use the data.
Here are some common mistakes that can occur when working with research data: