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Research Data Management

This guide provides best practices and resources for managing your research data for any discipline.

Data Management Plan

What is a Data Management Plan?  

  • A comprehensive plan of how you will manage your research data throughout the lifecycle of your research project.
  • A brief description of how you will comply with funder’s data sharing policy, reviewed as part of a grant application.
  • A formal document that outlines how you will handle your data both during your research, and after the project is completed.

It can be a plan that you use internally to document the procedures and data handling guidelines in your lab - a roadmap or blueprint.  A resource that you can use when new students join the lab, or new colleagues become affiliated with the project.  It explains how you do stuff.  Think of it as your instruction manual.

It can be a brief paragraph that answers a question or two from a funder that covers their data management requirement. These are usually included in the narrative section of a proposal.  It may also be an extensive description of your data management plans, written throughout the proposal.

The most familiar variation is a formal document called a data management plan (DMP) that is required by funders and that must be included to even submit your proposal.   

It may also be called a Data Sharing Plan (DSP), or a Data Access Plan (DAP), or a Resource Sharing Plan (RSP), or a Data Management and Sharing Plan (DMSP), or a Data Management and Access Plan (DMAP), or....whatever the funder chooses to call it.  Each funder will have different requirements, and a different focus.  The most important thing to remember is to draft a DMP that answers the questions that the funder is asking, in the manner that they prefer.  

Remember that a DMP is an iterative document. It can, and should, be updated if necessary. Because it is usually written before the project is funded it is not unusual that changes may need to be made to it. 

DMPs should not be confused with Research Plans, Project Plans, Data Security Plans, Resource Sharing Plans, or Data Collection Plans. 

There are several tools available to help you draft a DMP.  We also provide templates that you can use.  The next three sections of this guide cover these areas.

DMP Templates and Guidance

DMP Templates 

Do you need a template to draft a data management plan?  Not everyone wants to use the DMPTool, and we understand. Maybe you would like to have a template that you can use in a classroom setting so your students can practice writing a plan. Perhaps you would simply like to see what the requirements are for a given funder, so you can get a head start on your next grant proposal.

The NSF and NEH templates are identical to the ones in the DMPTool. The NIH, DOE and IES templates were created in response to these funders changing requirements. The CDC templates are created from their original draft templates. Some funders have specific requirements for a program, and those guidance documents are also available here.  All templates are in Word format, and Rich Text format are available by request.  

The appropriate guidance documents are provided with the templates.  I have also created some discipline-specific guidance for a few of the templates.  They are based on my experience with DMPs for those funders. 

To download the templates simply click the link.  You can also visit the template page on our website to download them. 

Dept. of Education - Institute for Education Sciences (IES)

The U.S Department of Education Institute of Education Sciences solicits grant proposals in 2 major categories: Research Programs and Research Training Programs.  Funding opportunities are posted each year in May for the next calendar year. http://ies.ed.gov/funding/.

Important Dates and Deadlines for FY 2022 Competitions

Policy Regarding Public Access to Research and FAQ 

Implementation Guide for Public Access to Research Data includes information about the required Data Management Plan. It includes information on the requirement, responsibility, and content for a DMP.  It covers the timing of providing access to the data, human subjects and privacy issues, proprietary data issues, methods for providing access to data, data documentation and the reminder that you can include the costs of sharing data in your budget. IES requires grantees to submit their peer-reviewed scholarly publications to ERIC. 

ERIC 

ERIC Grantee and Online Submission System 

ERIC Grantee and Contractor Requirements: FAQ 

IES 2021 with UVa-specific guidance

IES 2021 

National Science Foundation (NSF)

The National Science Foundation (NSF) started requiring a Data Management Plan in January 2011. The data management plan (DMP) is a document that is no longer than 2 pages, and must be included in the Special Information and Supplementary Documentation section of grant proposals. Fastlane will not allow the submission of proposals that do not include a DMP. 

The NSF Proposal & Award Policies & Procedures Guide (PAPPG) states that "Investigators are expected to share with other researchers, at no more than incremental cost and within a reasonable time, the primary data, samples, physical collections and other supporting materials created or gathered in the course of work under NSF grants. Grantees are expected to encourage and facilitate such sharing." 

It is strongly suggested that you use the specific template for your NSF program if one is available.  These templates have been engineered to fulfill the requirements of the particular Directorate or Division.

Many NSF units have additional or different data management requirements.  First, read the solicitation to see if there are any specific requirements. Second, look at the Requirements by Directorate, Office, Division, Program or other NSF Unit section to see if their are specific guidelines for your discipline.  Third, if there are no additional requirements, follow the general NSF Data Management Plan Requirements section, which is the default for all NSF proposals.

Public Access to results of NSF-Funded Research 

NSF Public Access Repository (NSF-PAR)

Dissemination and Sharing of Research Results 

Frequently Asked Questions (FAQs) for Public Access 

nsf-gen template  This is a generic template which can be used for any NSF DMP.   If the program you are interested in does not have a template link, then use the generic template. 

Department of Energy (DOE)

The Department of Energy (DOE) has two divisions that provide funding for academic research - The Office of Science (OS) and the Office of Energy Efficiency & Renewable Energy (EERE). They both adhere to the Department's policies on digital data management.

The Department of Energy affirms that the following principles for the management of digital research data support its mission.

  • Effective data management has the potential to increase the pace of scientific discovery and promote more efficient and effective use of government funding and resources. Data management planning should be an integral part of research planning.
  • Sharing and preserving data are central to protecting the integrity of science by facilitating validation of results and to advancing science by broadening the value of research data to disciplines other than the originating one and to society at large. To the greatest extent, with the fewest constraints possible, and consistent with the requirements and other principles stated in this document, data sharing should make digital research data available to and useful for the scientific community, industry, and the public.
  • Not all data need to be shared or preserved. The costs and benefits of doing so should be considered in data management planning.  

DOE Policy for Digital Research Data Management 

DOE Policy for Digital Research Data Management FAQs

Suggested Elements for a Data Management Plan 

  • Data Types and Sources. A brief, high-level description of the data to be generated or used through the course of the proposed research and which of these are considered Digital Research Data necessary to Validate the research findings.

  • Content and Format. A statement of plans for data and metadata content and format including, where applicable, a description of documentation plans, annotation of relevant software, and the rationale for the selection of appropriate standards. (Existing, accepted community standards should be used where possible. Where community standards are missing or inadequate, the DMP could propose alternate strategies that facilitate sharing, and should advise the sponsoring program of any need to develop or generalize standards.)

  • Data Sharing and Data Preservation. A description of the plans for data sharing and preservation. This should include, when appropriate:

  • The anticipated means for sharing and the rationale for any restrictions on who may access the data and under what conditions;

  • A timeline for sharing and preservation that addresses both the minimum length of time the data will be available and any anticipated delay to data access after research findings are published;

  • Any special requirements for data sharing, for example, proprietary software needed to access or interpret data, applicable policies, provisions, and licenses for re-use and re-distribution, and for the production of derivatives, including guidance for how data and data products should be cited;

  • Any resources and capabilities (equipment, connections, systems, software, expertise, etc.) requested in the research proposal that are needed to meet the stated goals for sharing and preservation (This could reference the relevant section of the associated research proposal and budget request);

  • Cost-benefit considerations to support whether/where the data will be preserved after direct project funding ends and any plans for the transfer of responsibilities for sharing and preservation;

  • Whether, when, or under what conditions the management responsibility for the research data will be transferred to a third party (e.g. institutional or community repository);

  • Any other future decision points regarding the management of the research data, including plans to re-evaluate the costs and benefits of data sharing and preservation.

  • Protection. A statement of plans, where appropriate and necessary, to protect confidentiality, personal privacy, Personally Identifiable Information, and U.S. national, homeland, and economic security; recognize proprietary interests, business confidential information, and intellectual property rights; and avoid significant negative impact on innovation, and U.S. competitiveness.
  • Rationale. A discussion of the rationale or justification for the proposed data management plan including, for example, the potential impact of the data within the immediate field and in other fields, and any broader societal impact.

If you intend to use any of the Office of Science User Facilities, you will need to follow the data management requirements of the facilities in addition to the requirements of the programs and DOE. ASCR, BES, BER, FES, HEP and NP all have facilities available. The User Facilities page provides links to all of these resources. 

The Office of Scientific and Technical Information (OSTI) fulfills the Department of Energy (DOE) responsibility to collect, preserve, and disseminate research and development (R&D) results emanating from DOE funding. They provide access to the OSTI.gov; DOE Pages; DOE Data Explorer; DOE Code; DOE Patents; ScienceCinema; Science.gov; WorldWideScience.org; and SC e-journals sites and portals. 

Office of Science (OS)

Workforce Development for Teachers and Scientists The DOE Office of Science’s Office of Workforce Development for Teachers and Scientists (WDTS) leverages the expertise of its six research program offices and the unique capabilities at DOE’s laboratories to sponsor workforce training programs designed to motivate students and educators to pursue careers that will contribute to the Office of Science’s mission in discovery science and science for the national need. 

Public Reusable Research (PuRe) Data is a designation for key data repositories, knowledge bases, analysis platforms, and other activities that strive to make data publicly available to advance scientific or technical knowledge. 

PuRe Resources Directory 

Policies and Procedures 

Metric Collection Guidelines (PDF)

FAQs

Quantum Information Science (QIS): There is growing interest in quantum information science (QIS)—forms of computing and information processing that might get around “classical” physical limitations by relying on exotic quantum effects. The DOE Office of Science (SC) efforts in QIS, informed by community input, target DOE-mission-focused applications by leveraging SC’s unique strengths. Major contributions to QIS focus on the following areas: (1) Supporting fundamental science that underpins quantum computing, simulation, communication, and sensing; (2) Creating tools, equipment, and instrumentation that go beyond what was previously imaginable; and (3) Establishing DOE community resources that enable the entire QIS ecosystem to innovate. The SC is targeting applications in 4 main areas: quantum computing, analog quantum simulation, quantum communication, and quantum sensing and microscopy.

National QIS Research Centers

Program Office QIS pages 

 

National Endowment for the Humanities

The NEH offers several grant programs. Funding opportunities are announced in blog posts and the Notice of Funding Opportunity (NOFO) for each division. The ones that offer grant opportunities for faculty, staff, and organizations that might be pertinent to UVa are: Office of Digital Humanities, Division of Education Programs, Division of Preservation & Access, Division of Public Programs, and Division of Research Programs. ​​

Guidelines for Ensuring and Maximizing the Quality, Objectivity, Utility, and Integrity of Information Disseminated by the NEH

Open Government Plan Plan for promoting transparency, participation, and collaboration in all aspects of its work.

Open Government and Open Data 

Data.gov NEH Datasets

All proposals require a Data Management Plan (or a Work Plan) and some require a Sustainability Plan. The NOFOs will state what is required for each program. Guidelines for writing your DMP are in the General Terms and Conditions for Awards to Organizations (for grants and cooperative agreements issued December 26, 2014 or later) Section 35, Dissemination of Project Results.

Blog: Planning 3: Managing and Sustaining the Project Assets - Data Management Plans (11/2019) 

FAQs - Funding for NEH Applicants and Grantees Impacted by the Coronavirus  

Office of Digital Humanities (ODH) ODH offers a single grant program, the Digital Humanities Advancement Grants (DHAG). The current Announcement (NOFO) document DMP requirement is in Attachment 8: Data management plan.  Sample Application Narratives, Budget Resources and Program Resources can be found on the ODH DHAG program resource website.  

neh-odh template

Digital Humanities Advancement Grants: see Attachment 8 for DMP requirements (1/2020)

Division of Education They offer several grant programs.  All require a Work Plan that will include some of the information included in a DMP - dissemination and sharing of the data and work. Each NOFO will provide details and requirements. Example of a current NOFO and FAQ.    

Division of Preservation and Access offers several grant programs, including Education and Training and Research and Development.

Division of Public Programs  They offer several grant programs. All require a Work Plan that will include some of the information included in a DMP. Each NOFO will provide details and requirements. Examples of a current NOFO and FAQ.  

Division of Research Programs Research Programs is the only NEH division to make grants directly to individuals. There are several grant programs.  Grant proposals require a Work Plan that will include some of the information included in a DMP - dissemination and sharing of the data and work. Each NOFO will provide details and requirements. Example of a current NOFO and FAQ

Department of Defense (DoD)

  • DoD Instruction 3200.12 "DoD Scientific and Technical Information Program (STIP), Change 3" (12/17/2018). A Data Management Plan (DMP) describing the scientific data expected to be created or gathered in the course of a research project must be submitted to DTIC at the start of each research effort. It is important that DoD researchers document plans for preserving data at the outset, keeping in mind the potential utility of the data for future research or to support transition to operational or other environments. Otherwise, the data is lost as researchers move on to other efforts. The essential descriptive elements of the DMP are listed in section 3 of DoDI 3200.12, although the format of the plan may be adjusted to conform to standards established by the relevant scientific discipline or one that meets the requirements of the responsible Component. 
  • DTIC Policy Memoranda Provides summaries and links for STIP Policy DoD Directives, Instructions, and Manuals including 5105.73; 3200.12; 3200.14 Vol. 1; 3200.14 Vol. 2; 5230.24; 5230.25; 32 CFR 2002; 32 CFR 250; and 5230.27. Provides access to policies, manuals, and other documentation for Submissions of STI to DTIC; Unified Research and Engineering Database (URED); Independent Research and Development (IR&D); Technology Transfer; Security Classification Codes; Congressional Directives; SI Policy for All Executives Agencies; and Public Access to the Results of Federally Funded Research.

Defense Advanced Research Projects Agency (DARPA)

Fundamental Research DARPA fully supports free scientific exchanges and dissemination of research results to the maximum extent possible.

DARPA Offices

U.S. Naval Research Office (NRL)

Institute for Nanoscience  

  • ProgramsNanoassembly, Nano-Optics, Nanochemistry, Nanoelectronics and Nanomechanics

Laboratory for Autonomous Systems Research (LASR) 

U.S. Army Combat Capabilities Development Command DEVCOM 

Army Research Lab 

Directorates 

Army Research Office (ARO)

  • Physical Sciences: Chemical Sciences, Life Sciences (including Social Sciences), and Physics
  • Engineering Sciences: Electronics, Materials Science, and Mechanical Sciences 
  • Information Sciences: Computer Sciences, Mathematical Sciences, and Network Sciences   

Foundational Research Competencies 

Essential Research Programs

U.S. Army Medical Research and Development Command (USAMRDC)

Medical Research and Development 

Researcher Resources 

Addendum to the DoD General Terms and Conditions and Publication, Acknowledgement and Public Release  

Office of Research Protections (ORP) 

"The application should include a clearly articulated data management plan and use of an appropriate database to safeguard and maintain the integrity of the data." DMPs are attachments with no page limits and cover data collection, confidentiality, data capture and verification, reporting, and sharing.

CDMRP bases their data sharing requirements on the NIH guidelines. (PDF)

Policy on Data and Resource Sharing Word document or PDF 

Position on Research Duplication Word document or PDF 

National Institutes of Health (NIH)

NIH’s mission is to seek fundamental knowledge about the nature and behavior of living systems and the application of that knowledge to enhance health, lengthen life, and reduce illness and disability. The NIH and related agencies are part of the U.S. Department of Health and Human Services (HHS).

The NIH Data Sharing Policy encourages NIH-funded researchers to share their final research data for use by other researchers in a timely way (i.e., no later than the acceptance for publication of the main findings from the final data set). The Policy expects applicants requesting $500,000 or more in direct costs in funding from NIH for research for any one year to include a data sharing plan or state why data sharing is not possible. There are several different data sharing policies in effect for the NIH, IC division, and at the program level.  The Data Sharing Policies Chart includes information and links to all of the relevant policies. All NIH units follow the NIH policies.  Many have additional requirements and guidelines.

NIH has maintained a list of NIH-supported data repositories for several years. They do not endorse or require sharing in any specific repository and encourage researchers to select the repository that is most appropriate for their data type and discipline (though such specification does exist for particular initiatives). To help researchers locate an appropriate resource for sharing their data, as well as to promote awareness of resources where datasets can be located for reuse, they maintain lists of several types of data sharing resources: 

***New Policy for Data Management and Sharing (effective January 25, 2023) 

Generic template: nih-gen template 

Data Sharing Workbook

Information about their overall policy, which applies to all divisions within the NIH, can be found in the NIH Grant Policy Statement (April 2021) (PDF)Important sections for data sharing requirements:

  • 8.2 Availability of Research Results: Publications, Intellectual Property Rights, and Sharing Research Results.
  • 8.2.3 Sharing Research Resources
  • 8.2.3.1 Data Sharing Policy
  • 8.2.3.2 Sharing Model Organisms

Grants and Funding Policy & Compliance 

NIH Single IRB Policy for Multi-site Research

Supplemental guidance documents including the NIH Data Sharing Policy and Implementation Guidance and the FAQs identify what the plans should cover.  They include:

  • whether and how data will be made available to others, including provisions for protection of privacy, confidentiality, security, intellectual property, or other rights as appropriate
  • data to be shared (e.g., genomic, clinical, or images), the expected timeline for when the data will be available, data formats, the format of the final data set, any query and/or analytic tools that will be provided, and the mode of data sharing (e.g., through a data archive or enclave or under the researcher’s own auspices by mailing a disk or posting data on an institutional or personal website)
  • procedures to request the data, and any data sharing agreements including the criteria for accessing data and any limitations placed on the use of data. 

NIH Common Data Elements (CDE) Repository

More detailed information can be found in the Key Elements to Consider in Preparing a Data Sharing Plan Under NIH Extramural Support document.  

The Brain Research Through Advancing Innovative Neurotechnologies® (BRAIN) Initiative is aimed at revolutionizing our understanding of the human brain. By accelerating the development and application of innovative technologies, researchers will be able to produce a revolutionary new dynamic picture of the brain that, for the first time, shows how individual cells and complex neural circuits interact in both time and space. Long desired by researchers seeking new ways to treat, cure, and even prevent brain disorders, this picture will fill major gaps in our current knowledge and provide unprecedented opportunities for exploring exactly how the brain enables the human body to record, process, utilize, store, and retrieve vast quantities of information, all at the speed of thought.

Alzheimer’s Disease Neuroimaging Initiative (ADNI) 

The Alzheimer’s Disease Neuroimaging Initiative (ADNI) is a longitudinal multicenter study designed to develop clinical, imaging, genetic, and biochemical biomarkers for the early detection and tracking of Alzheimer’s disease (AD). Since its launch more than a decade ago, the landmark public-private partnership has made major contributions to AD research, enabling the sharing of data between researchers around the world.

Three overarching goals of the ADNI study are:

  1. To detect AD at the earliest possible stage (pre-dementia) and identify ways to track the disease’s progression with biomarkers.
  2. To support advances in AD intervention, prevention, and treatment through the application of new diagnostic methods at the earliest possible stages (when intervention may be most effective).
  3. To continually administer ADNI’s innovative data-access policy, which provides all data without embargo to all scientists in the world.

Data Sharing and Publication Policy also includes their Data Use Agreement.

Image and Data Archive (IDA)   Help and FAQs

The National Library of Medicine (NLM), on the campus of the National Institutes of Health in Bethesda, Maryland, has been a center of information innovation since its founding in 1836. The world’s largest biomedical library, NLM maintains and makes available a vast print collection and produces electronic information resources on a wide range of topics that are searched billions of times each year by millions of people around the globe. It also supports and conducts research, development, and training in biomedical informatics and health information technology. In addition, the Library coordinates a 6,500-member Network of the National Library of Medicine that promotes and provides access to health information in communities across the United States.

Resources for Researchers

The Genomics and Health Program analyzes the scientific, ethical, and social implications of genetic and genomic research on health and, as warranted, provides policy recommendations on particular issues or concerns raised through genomic research and emerging technologies. The Genomic Data Sharing Policy (2014) builds upon the basic NIH policy.  Refer to section 8.2.3.3 Genomic Data Sharing (GDS) Policy in the NIH Grant Policy Statement.

nih-gds template 

Genomic Data Sharing 

Genomic Data Sharing Policies 

Genomic Data Sharing FAQs

Guidance for Investigators in Developing Genomic Data Sharing Plans

National Institute on Aging (NIA)

Data Sharing policy for data generated through research on the genetic factors that contribute to Alzheimer's Disease

Health and Retirement Study  Data Products

National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) research creates knowledge about and treatments for diseases that are among the most chronic, costly, and consequential for patients, their families, and the Nation.

Research at NIDDK 

Research Resources 

Human Subjects Research

The Environmental Determinants of Diabetes in the Young (TEDDY)

TEDDY Data Sharing Policy 

NIDDK Central Repository

The National Institute of Mental Health (NIMH) is the lead federal agency for research on mental disorders.

The NIMH Data Archive contains the data from the National Database for Autism Research (NDAR).

You will need to complete a Data Use Certification to access the data. Submissions must follow the Data Sharing Terms and Conditions (NDA)

ABCD Data Repository Adolescent Brain Cognitive Development (ABCD) Study data

CCF data from the Human Connectome Projects 

The Osteoarthritis Initiative (OAI)

National Institute on Alcohol Abuse and Alcoholism Data Archive (NIAAADA

Accelerating Medicines Partnership – Schizophrenia (AMP SCZ) Data Repository

Common Data Elements 

Tutorials

The mission of the National Institute on Alcohol Abuse and Alcoholism (NIAAA) is to generate and disseminate fundamental knowledge about the effects of alcohol on health and well-being, and apply that knowledge to improve diagnosis, prevention, and treatment of alcohol-related problems, including alcohol use disorder, across the lifespan.

Research 

Major Research Initiatives 

NIAAA policy on data and safety

NIAAA Data Archive 

The National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III)

Alcohol Policy Information System  

The National Center for Biotechnology Information (NCBI) advances science and health by providing access to biomedical and genomic information.

NCBI Computational Biology Branch

The National Institute of Child Health and Human Development (NICHD) mission is to lead research and training to understand human development, improve reproductive health, enhance the lives of children and adolescents, and optimize abilities for all.

Research 

Grant Policies 

Division of Extramural Research (DER) 

DASH Data and Specimen Hub 

DASH Policies 

DASH User Agreement 

FAQs

 

 

The National Institute of Neurological Disorders and Stroke (NINDS) mission is to seek fundamental knowledge about the brain and nervous system and to use that knowledge to reduce the burden of neurological disease. 

NINDS Interpretation of the NIH GDS Policy 

Guidelines for Monitoring in Clinical Trials 

Quality Assurance Guidelines Section 3.4 Data Management    

Nurses understand that improving health and well-being requires addressing health needs at multiple levels: individual, family, community, and societal. The National Institute of Nursing Research (NINR) research uses this perspective to improve individual and population health and advance health equity by identifying nursing practice and policy solutions across clinical and community settings that are responsive to the realities of people’s lives.

Common Data Elements 

Research Supported by NINR

Areas of Science and Program Contacts 

Policy for Data and Safety Monitoring of Clinical Trials 

Grant Development and Management: FAQ    

 

The National institute on Minority Health and Health Disparities (NIMHD) invests in research and fosters collaborations and partnerships to promote and support evidence-based science to inform practice and policy. Its programs and initiatives provide a leading edge in enhancing the scientific knowledge base and designing interventions to improve health outcomes to reduce and ultimately lead to the elimination of health disparities.

Extramural Research Programs 

For Research Applicants 

Minority Health and Health Disparities Research Framework 

Reports and Data Resources        

The National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) mission is to support research into the causes, treatment, and prevention of arthritis and musculoskeletal and skin diseases; the training of basic and clinical scientists to carry out this research; and the dissemination of information on research progress in these diseases.

Grants and Funding 

NIAMS-Supported Research Programs

Clinical Trials 

Data and Safety Monitoring Guidelines and Policies 

Data and Safety Monitoring (DSM) Guidelines for NIAMS-Funded Clinical Research 

How to Write a Data and Safety Monitoring Plan (DSMP) 

FAQs for Investigators Conducting NIAMS-Funded Clinical Research Studies   

The mission of the National Institute of Biomedical Imaging and Bioengineering (NIBIB) is to improve health by leading the development and accelerating the application of biomedical technologies. The Institute is committed to integrating the physical and engineering sciences with the life sciences to advance basic research and medical care.

Scientific Program Areas are Division of Applied Science & Technology (Bioimaging), Division of Discovery Science & Technology (Bioengineering), Division of Health Informatics Technologies (DHIT), and Training. 

Research Funding    

The National Institute on Deafness and Other Communication Disorders is mandated to conduct and support biomedical and behavioral research and research training in the normal and disordered processes of hearing, balance, taste, smell, voice, speech, and language. The institute also conducts and supports research and research training related to disease prevention and health promotion; addresses special biomedical and behavioral problems associated with people who have communication impairments or disorders; and supports efforts to create devices that assist individuals with hearing loss or other communication disorders.

Extramural Research 

Guidelines for Data and Safety Monitoring of Clinical Trials 

Guidelines for Data Monitoring and Oversight of Observational Studies      

The National Eye Institute (NEI) has been on the front lines of vision research — and we continue to support cutting-edge research projects that investigate new ways to prevent, treat, or even reverse vision loss. 

Research at NEI 

Research Labs and Branches 

Resources for Researchers 

The mission of the National Institute of Dental and Craniofacial Research (NIDCR) is to advance fundamental knowledge about dental, oral, and craniofacial (DOC) health and disease and translate these findings into prevention, early detection, and treatment strategies that improve overall health for all individuals and communities across the lifespan. 

Research Funded by NIDCR (Extramural Division) 

Grant Programs 

Human Subjects Research Overview 

NIH and NIDCR-Funded Human Subjects Research      

The National Institute of Environmental Health Sciences (NIEHS) is expanding and accelerating its contributions to scientific knowledge of human health and the environment, and to the health and well-being of people everywhere. 

Research Funded by NIEHS - Division of Extramural Research and Training

Resources for Scientists 

Data Sharing Resources 

The National Institute of General Medical Sciences (NIGMS) supports basic research that increases our understanding of biological processes and lays the foundation for advances in disease diagnosis, treatment, and prevention. NIGMS-funded scientists investigate how living systems work at a range of levels from molecules and cells to tissues and organs, in research organisms, humans, and populations.

Research Areas 

Division of Data Integration, Modeling, and Analytics 

Division of Pharmacology, Physiology, and Biological Chemistry

Division of Biophysics, Biomedical Technology, and Computational Biosciences 

Division of Genetics and Molecular, Cellular, and Developmental Biology

Capacity Building 

NIGMS Human Genetic Cell Repository 

Human Genetic Cell Repository and FAQs

Genetics

Research Resources    

Centers for Disease Control and Prevention (CDC)

The Centers for Disease Control and Prevention (CDC) works 24/7 to protect America from health, safety and security threats, both foreign and in the U.S. Whether diseases start at home or abroad, are chronic or acute, curable or preventable, human error or deliberate attack, CDC fights disease and supports communities and citizens to do the same. The CDC and related agencies are part of the U.S. Department of Health and Human Services (HHS). They use grants and cooperative agreements to fund research and non-research public health programs. They require awardees for projects that involve the collection or generation of data with federal funds to develop, submit and comply with a Data Management Plan (DMP) for each collection or generation of public health data undertaken as part of the award and, to the extent appropriate, provide access to and archiving and/or long term preservation of collected or generated data. 

The CDC requires a DMP for every data collection or data generation of public health data funded by an award.  The DMP may be submitted with the proposal that is in response to a FOA or after the funding has been awarded. Awardees should submit a DMP during the project planning phase, but no later than prior to the initiation of generating or collecting public health data.   A DMP should include the following information:

  • A description of the data to be collected or generated in the proposed project;
  • Standards to be used for the collected or generated data;
  • Mechanisms for or limitations to providing access to and sharing of the data (include a description of provisions for the protection of privacy, confidentiality, security, intellectual property, or other rights). This section should address access to identifiable and de-identified data (see below for additional information about access);
  • Statement of the use of data standards that ensure all released data have appropriate documentation that describes the method of collection, what the data represent, and potential limitations for use; and
  • Plans for archiving and long-term preservation of the data, or explaining why long-term preservation and access are not justified. This section should address archiving and preservation of identifiable and de-identified data (see below for additional information regarding archiving). 

Remember that the DMP is a living document that can, and should, be updated throughout the life cycle of the data. The DMP may be evaluated during the application, study proposal, project review process, or at any time in the project period. 

Researchers must provide access to their public health data.  Some FOAs require that the data be submitted directly to the CDC Wonder database. Awardees whose terms of award do not include submitting data to CDC are expected to plan and prepare for access to and archiving and/or long-term preservation of collected and/or generated data within the funding period. The final version of a collected and/or generated data set intended for release or sharing should be made available within thirty months after the end of data collection and/or generation, except surveillance data which should be made accessible within a year of the end of the collection cycle.  Additionally, they should ensure the quality of the data they make available, and provide it in a non-proprietary format. 

CDC Library

For public use de-identified datasets, an accompanying data dictionary and other documentation relevant to the use of the data set should be deposited in a sustainable repository to provide access to the data.  Data that cannot be de-identified can be provided by request under a data-use agreement.  Awardees are required to inform the appropriate CDC point-of-contact for their award about the location by updating their DMP.  

For data underlying scientific publication, the data should be made available coincident with the publication of the paper, unless the data set is already available via a release or sharing mechanism.  At a minimum, release of the data set should consist of a machine-readable version of the data tables shown in the paper. 

CDC plan for increasing access to scientific publications and digital scientific data generated with CDC funding 

Public access to CDC funded publications 

Surveillance Resource Center  

Legal, Ethical, Policy - Data Sharing

Grants  

Award Terms & Conditions, Federal Regulations and Policies 

Additional requirement - 25: Data Management and Access "CDC requires recipients for projects that involve the collection or generation of data with federal funds to develop, submit and comply with a Data Management Plan (DMP) for each collection or generation of public health data undertaken as part of the award and, to the extent appropriate, provide access to, and archiving/long-term preservation of, collected or generated data."

UVa Templates: 

The National Institute for Occupational Safety and Health (NIOSH) mission is to develop new knowledge in the field of occupational safety and health and to transfer that knowledge into practice.

NOISH Program Portfolio 

Priority Goals for Extramural Research 

Extramural Research and Training Programs 

Office of Extramural Programs (OEP)

Research 

Data and Statistics Gateway

The Oak Ridge Institute for Science and Education is a U.S. Department of Energy asset that is dedicated to enabling critical scientific, research, and health initiatives of the department and its laboratory system by providing world class expertise in STEM workforce development, scientific and technical reviews, and the evaluation of radiation exposure and environmental contamination. 

Research Participation Program at the Centers for Disease Control and Prevention

National Oceanic and Atmospheric Administration (NOAA)

The National Oceanic and Atmospheric Administration data sharing requirements for extramural research were drafted in February 2016.  The purpose...is to ensure that environmental data funded extramurally by NOAA are made publicly accessible in a timely fashion (typically within two years of collection), in a format that is machine-readable and based on open standards, and which includes the metadata necessary to find and properly use the data. Additionally, the final manuscripts of peer-reviewed research papers must be deposited with the NOAA Central Library. The Directive requires that funding opportunity announcements include Data Management Guidance, and relevant proposals include a Data Management Plan (Appendix A).  This is effective for all FFO Announcements, Grant Solicitations and Special Award Conditions issued on or after June 1, 2016. 

The data management plan (DMP) is a document that is no more than 2 pages long, describing how these requirements will be satisfied. The contents of the Data Management Plan (or absence thereof), and past performance regarding such plans, will be considered as part of proposal review. A typical plan should include descriptions of the types of environmental data and information expected to be created during the course of the project; the tentative date by which data will be shared; the standards to be used for data/metadata format and content; methods for providing data access; approximate total volume of data to be collected; and prior experience in making such data accessible. The costs of data preparation, accessibility, or archiving may be included in the proposal budget unless otherwise stated in the Guidance. 

NOAA defines data management as "a combination of two major activities conducted in coordination, data management services and data stewardship, which together constitute a comprehensive end-to-end process including movement of data and information from the observing system sensors to the data user. This process includes the acquisition, quality control, metadata cataloging, validation, reprocessing, storage, retrieval, dissemination, and archival of data."  

Environmental (research) data and information collected or created under NOAA grants or cooperative agreements must be made discoverable by and accessible to the general public, unless a waiver has been granted. They must be listed in NOAA's public catalog. Data should be machine-readable, preferably a widely-used or open-standard format, and should also be accompanied by machine-readable documentation (metadata), preferably based on widely used or international standards. Information can be found in the NOAA Data Access Procedural Directive, along with a copy of the waiver request form. 

Persistent identifiers (DOI) must be assigned to data so that users can reference the identifiers when data are used in research, scholarly communications, assessments, models or derived products.  Data archived at the National Centers for Environmental Information (NCEI), [which includes the organizations formerly known as the National Climatic Data Center (NCDC), the National Geophysical Data Center (NGDC), and the National Oceanographic Data Center (NODC)], will have a DOI assigned to them after deposit. They cannot provide DOI's for data deposited in other repositories, and encourage you to submit your data to the NCEI. 

NOAA requires that data must have a comprehensive metadata record which complies with the NOAA Data Documentation Procedural DirectiveThis is a requirement for all data generated by NOAA funding, not just ones deposited in NCEI. The primary metadata requirement ISO 19115 standard. Information on it and the collection of tools is in the Metadata resource.  Documentation should be provided for all data collections, products derived from them, services that provide NOAA data and products, and all data collections funded by NOAA.  This includes data collections currently in progress and their related products, and all active and planned data collection programs.

Environmental Data Management Framework (EDM) 

Science Integrity Commons

The National Marine Fisheries Service is responsible for the stewardship of the nation's ocean resources and their habitat. 

The Office of Marine and Aviation Operations (OMAO) manages and operates NOAA's fleet of 15 research and survey ships and 10 aircraft.

The National Environmental Satellite, Data, and Information Service (NESDIS), we provide secure and timely access to global environmental data and information from satellites and other sources to promote and protect the Nation's security, environment, economy, and quality of life.

National Ocean Service (NOS) provides data, tools, and services that support coastal economies and their contribution to the national economy.

National Weather Service (NWS) provide weather, water, and climate data, forecasts and warnings for the protection of life and property and enhancement of the national economy. 

The Office of Oceanic and Atmospheric Research (OAR) - or "NOAA Research" - provides the research foundation for understanding the complex systems that support our planet.   

Labs and Programs  

The Climate Explorer

UVa NOAA Data Management Plan template 

NOAA's National Centers for Environmental Information (NCEI) hosts and provides public access to one of the most significant archives for environmental data on Earth. We provide over 37 petabytes of comprehensive atmospheric, coastal, oceanic, and geophysical data.

Archive The official archive for data collected by NOAA scientists, observing systems, and research initiatives. Includes information on Submission Guidance, Preferred file Formats, Services, Related Information (other data archives and partners) and an FAQ. 

Big Data 

Archiving Guidelines 

Advanced Tracking and Resource tool for Archive Collections

Resources 

Metadata 

Maps and Geospatial Products  

Ocean Data Formats and Codes  

Public Access to Research Results (PARR)

The NOAA Institutional Repository is a digital library of scientific literature and research produced by the National Oceanic and Atmospheric Administration. Through curated collections researchers can access documents and materials related to specific areas of research.

Submission Information 

FAQs

NOAA Central Library The mission of the NOAA Central Library is to support and further NOAA’s mission of promoting global environmental stewardship in order to conserve and wisely manage the Nation's marine and coastal resources; and describing, monitoring, and predicting changes in the Earth's environment in order to ensure and enhance sustainable economic opportunities.  The NCRL provides scientific, technical and legislative information covering global climate change, aquaculture, coastal zone management, fisheries, meteorology, ocean/atmospheric interactions, remote sensing, cartography, geophysics, photogrammetry, GIS, and water resources to NOAA scientists, administrators, and others working in related disciplines in support of NOAA's programs.

FAQ 

The NOAA Data Discovery Portal provides two approaches to enable searching NOAA's vast data holdings: the traditional NOAA Data Catalog for all data, and the new NOAA OneStop catalog which initially includes only the archived datasets but will eventually replace the traditional catalog. 

NOAA Data Catalog 

NOAA OneStop