Data Management Plan Elements |
Element | Description/Instructions |
Data Types & Sources | A brief description of data that are expected to be used or generated during the course of the proposed research, which may include: - Description in general terms (nature and scope; method use to generate the data, e.g., simulation, observation, experiment)
- Amount of size of the data
- Modality (text, imaging, genomic, structured)
- Level of aggregation (individual, summarized)
- Degree of data processing (raw, analyzed)
- Relationship of the data to other data, as relevant
- Confirmation that the PI has the rights to use or collect the data; including the rights to share or otherwise manage data as described in the DMP
- The use of persistent, unique identifiers
|
Standards, Content, & Format | A description of any data or metadata standards or formats to be used or considered, which may include: - Any standards to be applied to the scientific data, associated metadata, and documentation including models, formats, identifiers, definitions, unique identifiers, controlled vocabularies, taxonomies, thesauri, ontologies, code books, data dictionaries, and other data documentation
- Whether the data standards are open or proprietary
- Indication that no appropriate data standards exist, as may be the case for some scientific fields
|
Tools, Software, and/or Code | A description of any code or specialized tools needed to make use of the data, which may include: - Names of the code, software, or specialized tools needed to access, manipulate, or make use of the data
- How these can be accessed (e.g., open source and freely available, generally available for a fee in the marketplace, available only from the research team or some other source)
|
Data Sharing | A description of how data will be accessed and shared, which may include: - A description of the shared subset of the total data generated, collected, or used
- Data distribution plans regarding a specific instance of a dataset, including a repository from which the data can be accessed
- Any licenses or access rights for the data
- A description of whether data will be open to the public, limited, or closed and why (e.g. ethical or legal reasons)
- Any deadlines or embargo periods for releasing the data after they are generated
- Any other considerations that may result in limitations on the ability to broadly share scientific data
- Identifying potential users of the shared data
|
Data Preservation | A description of plans for preserving data, which may include: - Where scientific data will be archived to ensure long-term preservation
- How, and under what conditions, management responsibility for the data might be transferred (e.g., to a repository)
- Any future decision points regarding continued preservation, archiving, or retiring of data
- The minimum preservation time afforded by the proposed budget
- Plans for preserving metadata even if data are not preserved
- Estimate of the time period between data collection and submission to a preservation archive
- How data will be curated to meet user needs and resource constraints
|
Data Protection: Security & Integrity | A description of measures to ensure data security and integrity, which may include: - Measures to prevent the accidental or malicious modification of data
- Backup measures to prevent single-point failures
- Necessary physical and cyber resources
- How back-up, disaster recovery, off-site data storage, and other redundant storage strategies will be used to ensure the data's security and integrity
- How different tiers or levels of access will be managed
|
Oversight of Data Management | How alignment with this DMP will be monitored and managed, and by whom, which may include: - Roles and responsibilities of individuals in ensuring data management implementation is consistent with the DMP and potentially making updates to the DMP
- People or groups that have the right to manage the data
- People or groups that have intellectual property related to the data, data access, or data use
|
Rationale | A brief justification of the proposed DMP or any associated costs, which may include: - How the DMP influences the potential impact of the data within the immediate field and in other fields, and any broader societal impact
- How cost, privacy, national security, competitiveness, or other considerations factored into DMP elements
- Elaborations of budget requests associated with data management
|
