Effective data management can increase the pace of the research process, contribute to the soundness of research results, and meet funding agency requirements by making research data easy to share. Join us for an overview of best practices including backup procedures, tips on effective file names, data security and access controls, and data documentation/metadata. This seminar is for faculty, postdoctoral researchers and graduate students from all disciplines. This course does not focus on creating or using any particular data collection or analysis tool (e.g. REDCap, SPSS), but discusses data management at a general level.
Interested in our training topics, but cannot make it?
Contact JHU Data Management Services to request a session for your Lab or Department.
Please specify in your email which training topic(s) you would like us to do for your group(s).
Handouts and Related Links
|Data Organization Best Practices||Some quick tips for effectively naming files and organizing folders of research data. Download|
|Research Backup Planning Guide||Strategies for developing a plan for backups, security, and preservation for your research data. Download|
|Metadata for Effective Research Data Management||What is metadata, and what does it have to with research data? Find here a description of metadata for research data management and ten questions/guidelines you can use in developing comprehensive metadata for your project. Link|
All handouts are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.