Research Rigor & Reproducibility: Understanding the Data Lifecycle for Research Success

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

This course provides recommended practices for facilitating the discoverability, access, integrity, and reuse value of your research data.  The modules have been selected from a larger Canvas course "Best Practices for Biomedical Research Data Management (https://www.canvas.net/browse/harvard-medical/courses/biomed-research-da... ).

Biomedical research today is not only rigorous, innovative and insightful, it also has to be organized and reproducible. With more capacity to create and store data, there is the challenge of making data discoverable, understandable, and reusable. Many funding agencies and journal publishers are requiring publication of relevant data to promote open science and reproducibility of research.

In this course, students will learn how to identify and address current workflow challenges throughout the research life cycle. By understanding best practices for managing your data throughout a project, you will succeed in making your research ready to publish, share, interpret, and be used by others.  Course materials include video lectures, presentation slides, readings and resources, research case studies, interactive activities and concept quizzes.  

Authoring Organization(s) Name: 
Harvard Medical School
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
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Data collection
Data management
Data preservation
Data sharing
Interoperable data - FAIR Data Principle
Re-usable data - FAIR Data Principle
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Life Sciences: Genetics and Genomics
Life Sciences: Microbiology
Medicine and Health Sciences
Medicine and Health Sciences: Biomedical Science
Publisher - organization credited with publishing or broadcasting the learning resource: 
Canvas Instruction
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.
Contact Organization(s): 
Canvas Instruction
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: 
Unit - long-range plan of instruction on a particular concept containing multiple, related lessons.
Target Audience - intended audience for which the learning resource was created: 
Early-career research scientist
Research faculty
Graduate student
Data manager
Librarian
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 Day (but less than 1 week)
Framework - A community-based organization plan or set of steps for education or training: 
FAIR Data Principles
Framework Node: FAIR: 
Interoperable
Re-usable