Introduction to Data Management

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

This short course on data management is designed for graduate students in the engineering disciplines who seek to prepare themselves as “data information literate" scientists in the digital research environment. Detailed videos and writing activities will help you prepare for the specific and long-term needs of managing your research data. Experts in digital curation will describe current sharing expectations of federal funding agencies (like NSF, NIH) and give advice on how toethically share and preserve research data for long-term access and reuse.

Students will get out of this course:

  • Seven web-based lessons that you can watch anytime online or download to your device.
  • A Data Management Plan (DMP) template with tips on how to complete each section. Your completed DMP can be used in grant applications or put into practice as a protocol for handling data individually or within your research group or lab. 
  •  Feedback and consultation on your completed DMP by research data curators in your field. 

Module topics include: 
1. Introduction to Data Management
2. Data to be Managed
3. Organization and Documentation
4. Data Access and Ownership
5. Data Sharing and Re-use
6. Preservation Techniques
7. Complete Your DMP.

Authoring Person(s) Name: 
Lisa R. Johnston
Jon Jeffryes
Authoring Organization(s) Name: 
University of Minnesota Libraries
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 4.0 International - CC BY 4.0
Access Cost: 
No fee
Citation - format of the preferred citation for the learning resource: 
Johnston, Lisa R., Jeffryes, Jon. (2012). Data Management Course for Structural Engineers. University of Minnesota Libraries.
Primary language(s) in which the learning resource was originally published or made available: 
More info about
Keywords - short phrases describing what the learning resource is about: 
Accessible data - FAIR Data Principle
Data management
Data management planning
Data preservation
Data sharing
Organizing data
Re-usable data - FAIR Data Principle
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Published / Broadcast: 
Sunday, January 1, 2012
Publisher - organization credited with publishing or broadcasting the learning resource: 
University of Minnesota Libraries
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Collection - a group or set of items that comprise a single learning resource, e.g., a PDF version of a slide presentation, an audio file of the presentation and a textual representation of the oral transcription of the presentation.
Contributor Organization(s): 
Institute of Museum and Library Services (IMLS)
Funding and sponsorship
Contact Person(s): 
Jon Jeffryes
Lisa R. Johnston
Contact Organization(s): 
University of Minnesota Libraries
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management or data skills.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Course - series of units and lessons used to teach the skills and knowledge required by its curriculum.
Target Audience - intended audience for which the learning resource was created: 
Graduate student
Undergraduate student
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)
Framework - A community-based organization plan or set of steps for education or training: 
FAIR Data Principles
Framework Node: FAIR: