Best Practices for Biomedical Research Data Management

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

This course presents approximately 20 hours of content aimed at a broad audience on recommended practices facilitating the discoverability, access, integrity, reuse value, privacy, security, and long-term preservation of biomedical research data.

Each of the nine modules is dedicated to a specific component of data management best practices and includes video lectures, presentation slides, readings & resources, research teaching cases, interactive activities, and concept quizzes.

Background Statement:
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 order to meet to these requirements and evolving trends, researchers and information professionals will need the data management and curation knowledge and skills to support the access, reuse and preservation of data.

This course is designed to address present and future data management needs.

Best Practices for Biomedical Research Data Management serves as an introductory course for information professionals and scientific researchers to the field of scientific data management.  The course is also offered by Canvas Instruction, at:  https://www.canvas.net/browse/harvard-medical/courses/biomed-research-da... .

In this course, learners will explore relationships between libraries and stakeholders seeking support for managing their research data. 

Authoring Person(s) Name: 
Elaine Martin
Julie Goldman
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: 
Access rights
Data access
Data discovery and identification - Core Trustworthy Data Repositories Requirements
Data management
Data privacy
Data quality
Data quality - Core Trustworthy Data Repositories Requirements
Data reuse - Core Trustworthy Data Repositories Requirements
Data storage
Massive open online course (MOOC)
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Medicine and Health Sciences
Medicine and Health Sciences: Biomedical Science
Published / Broadcast: 
Friday, June 9, 2017
Publisher - organization credited with publishing or broadcasting the learning resource: 
Open Science Framework (OSF)
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): 
Name: 
Harvard Medical School
Type: 
Funding and sponsorship
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management.
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: 
Research scientist
Mid-career research scientist
Early-career research scientist
Research faculty
Graduate student
Undergraduate student
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: 
Accessible
Findable
Re-usable