Best Practices for Biomedical Research Data Management

Key Info

URL - the landing page for the learning resource:

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 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:

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