Data Management and Sharing for NIH Proposals from Coursera

The National Institutes of Health (NIH) has a new policy for the management and sharing of scientific data starting for (most) grants submitted January 25, 2023 or later. In this course we will describe what the new policy requires, places where you might want to share your particular kind of data, and how to deal with possible challenges associated with the policy.

This course is for anyone writing a grant proposal for NIH that needs to know more about this policy and how to abide by it. It will guide learners gently through the process and help you figure out where you might need to share your data.

This course is intended for those who are somewhat familiar with the grant writing process, however those who are completely new to grant writing will still find the material useful, but may need to look up a few terms.

Learning Objectives:

1) Explain why the NIH has implemented this new policy

2) Describe the elements required in a data management and sharing plan

3) Identify appropriate data sharing repositories for different projects

4) Write a data management and sharing plan

Unique Features of this Course

- Beginner friendly for those who want to get started learning about this policy

- Guided gentle step-by-step process to write your own data management and sharing plan

- Easy access to relevant links associated with this policy and helpful tools

- Helpful guidance about where to share your data

- Information about nuances involved in the policy

Key Words

Data Sharing, NIH, Data Management, Data Sharing and Management Plans, Grant Writing, Grant Applications

Intended Audience

- Those involved in writing NIH grants

- Those involved in submitting NIH grants

Accessibility

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What's inside

Syllabus

About This Course & Introduction to the Policy

In this module, we'll introduce the course logistics and cover an overview. We'll also introduce the new NIH Data Management and Sharing Policy, and what it means for you.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Develops grant writing skills, which are required for funding research projects

Teaches learners about the new NIH Data Management and Sharing Policy

Beginner friendly, which makes it suitable for those new to the NIH Data Management and Sharing Policy

Provides resources to help learners navigate the NIH Data Management and Sharing Policy

May require learners to have a basic understanding of grant writing

Reviews summary

Nih data management policy guidance

According to learners, this course is a crucial and timely resource for understanding the new NIH Data Management and Sharing Policy. Students report it offers a clear and step-by-step guide to creating a data management plan, breaking down complex topics into understandable chunks. Many found the practical application and resources, especially for data repositories, to be highly valuable. While largely seen as beginner-friendly for navigating the policy, some experienced researchers found it lacked depth for very complex scenarios, suggesting it serves as an excellent foundation but may require additional independent research for highly specialized cases.

Offers access to helpful links and repository information.

"I particularly appreciated the resources for finding appropriate data repositories."

"The provided links and resources made up for it."

"The pointers on finding repositories were particularly useful."

Provides actionable, step-by-step guidance for plan creation.

"...the step-by-step guide for creating a DMS plan was invaluable."

"The guided process for writing the plan was super helpful."

"I was able to complete my DMS plan with much more confidence after taking this course."

Explains the new NIH data policy with exceptional clarity.

"This course was exactly what I needed to understand the new NIH data management policy. The instructor explained complex topics clearly..."

"Fantastic course! ...this broke down the NIH DMS policy into understandable chunks."

"It clearly articulates the requirements and guides you through preparing your proposal."

Could benefit from more diverse examples and case studies.

"It provided a solid foundation, but I wish there were more diverse examples for different data types."

"While largely positive, I would have liked more interactive elements or case studies to solidify understanding."

May not cover advanced scenarios for seasoned researchers.

"While it served as an introduction, I felt it lacked the depth needed for more complex research scenarios."

"It's a good starting point but expects you to do a lot of additional research on your own specific data sharing nuances."

"I expected more advanced strategies for complex data scenarios. Good for beginners, less so for those with existing grant experience."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Management and Sharing for NIH Proposals with these activities:

Create a Data Management Plan Using DMPTool

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Creates a data management plan using DMPTool

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Access DMPTool online
Watch a tutorial on how to use DMPTool
Start to create a data management plan for your project

Identify Repositories for Sharing Different Types of Data

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Creates a resource list of repositories for sharing research data

Browse courses on Data Sharing

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Identify different types of research data
Find repositories that accept each type of data
Create a table or spreadsheet with the repository information

Practice Writing Data Management Plans

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Reinforces concepts covered in module

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Find a template for a data management plan
Write a data management plan for a hypothetical research project
Share your data management plan with a peer for feedback

Two other activities

Expand to see all activities and additional details

Show all five activities

Participate in a Data Management Hackathon

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Hands-on challenge in data management

Browse courses on Data Management

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Find a data management hackathon
Form a team or work individually
Develop a solution to the hackathon challenge

Contribute to a Data Management Open-Source Project

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Real-world experience in data management

Browse courses on Data Management

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Find an open-source data management project
Identify an issue or feature to work on
Contribute to the project by submitting a pull request

Career center

Learners who complete Data Management and Sharing for NIH Proposals will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. Data Scientists use a variety of statistical techniques to interpret data and to develop models that can be used to predict future trends and make better decisions. This course enhances the skill set of a Data Scientist by providing the background to write a robust data management plan. Understanding policy in this area ensures data is shared and made available to relevant parties, which often is a major component of a Data Scientist position.

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Data Analyst

A Data Analyst collects, cleans, and analyzes data to identify trends, patterns, and insights. Data Analysts use this information to make recommendations and inform decisions. This course would help a Data Analyst to understand the need for data management and sharing, and to develop plans to meet these requirements.

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Biostatistician

A Biostatistician applies statistical methods to the analysis of biological data. Biostatisticians design and conduct studies, analyze data, and interpret results to inform medical practice and research. This course helps a Biostatistician meet new NIH data management and sharing requirements by ensuring they create acceptable data management sharing plans.

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Research Scientist

A Research Scientist conducts research to advance knowledge in a particular field. Research Scientists may also develop new products or processes, or find new ways to use existing products or processes. This course provides Research Scientists with valuable knowledge and skills to consider when writing a data management plan that ensures compliance with federal regulations related to grant-funded research.

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Science Writer

A Science Writer communicates complex scientific and technical information to a variety of audiences. Science Writers may write for magazines, newspapers, websites, or other publications. This course helps a Science Writer to understand the importance of data management and sharing, and to write clearly about these topics for their audiences.

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Librarian

A Librarian helps people find and access information. Librarians may work in a variety of settings, including public libraries, school libraries, and academic libraries. This course may be useful for Librarians who work with scientific or technical information, as it can help them to understand the importance of data management and sharing.

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Archivist

An Archivist preserves and provides access to historical records. Archivists may work in a variety of settings, including libraries, museums, and government agencies. This course may be useful for Archivists who work with scientific or technical data, as it can help them to understand the importance of data management and sharing.

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Museum curator

A Museum Curator is responsible for the care and display of museum collections. Museum Curators may also conduct research and develop educational programs. This course may be useful for Museum Curators who work with scientific or technical collections, as it can help them to understand the importance of data management and sharing.

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Health Information Manager

A Health Information Manager is responsible for the management and security of health information. Health Information Managers may work in a variety of settings, including hospitals, clinics, and insurance companies. This course may be useful for Health Information Managers who work with scientific or technical data, as it can help them to understand the importance of data management and sharing.

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Records Manager

A Records Manager is responsible for the management and storage of records. Records Managers may work in a variety of settings, including businesses, government agencies, and hospitals. This course may be useful for Records Managers who work with scientific or technical data, as it can help them to understand the importance of data management and sharing.

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Information Security Analyst

An Information Security Analyst is responsible for protecting an organization's computer systems and data from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for Information Security Analysts who work with scientific or technical data, as it can help them to understand the importance of data management and sharing.

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Compliance Officer

A Compliance Officer is responsible for ensuring that an organization complies with all applicable laws and regulations. This course may be useful for Compliance Officers who work with scientific or technical data, as it can help them to understand the importance of data management and sharing.

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Quality Assurance Manager

A Quality Assurance Manager is responsible for ensuring that an organization's products or services meet all applicable standards. This course may be useful for Quality Assurance Managers who work with scientific or technical data, as it can help them to understand the importance of data management and sharing.

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Risk Manager

A Risk Manager is responsible for identifying and mitigating risks to an organization. This course may be useful for Risk Managers who work with scientific or technical data, as it can help them to understand the importance of data management and sharing.

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Project Manager

A Project Manager is responsible for planning, executing, and closing projects. This course may be useful for Project Managers who work on scientific or technical projects, as it can help them to understand the importance of data management and sharing.

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