Element 6: Oversight of Data Management

Relevant Information
 

  • Harvard Dataverse Repository user accounts can be granted roles that define which actions they are allowed to take on specific collections, datasets, and/or files: 

    • Permissions: Decide read/write access to add datasets, create collections, or access files

    • Users/Groups: Assign administrative/curator roles to specific users or groups

    • Roles: List of available roles and the read/write capabilities they allow

      • For example: Research Assistant as a “Contributor” who can “EditDataset” but not  “PublishDataset”

Element 6: Oversight of Data Management

Element 6: Oversight of Data Management

Indicate how compliance with the Plan will be monitored and managed, frequency of oversight, and by whom (e.g. titles, roles).

Harvard Dataverse Policies

Description

Links to Harvard Dataverse

Role of Harvard Dataverse

Harvard Dataverse is not a responsible party that may be named in a Data Management and Sharing Plan. Users retain ownership and control of all deposited data. 

Harvard Dataverse General Term of Use: General Terms of Use | Harvard Dataverse Support 

Apply relevant metadata

Include depositor information in dataset metadata in “Depositor” field. 

 

Curation Services can be included in proposed budget 

The Harvard Dataverse Repository provides fee-based curation services to researchers around the world who are depositing data into The Harvard Dataverse Repository. Research data replication datasets, data for related publications, and all file types and domains are welcomed in the Harvard Dataverse Repository. Our curation services will ensure that your datasets are discoverable, accessible, interoperable, and reusable (FAIR).

Curation Services: Curation and Data Management Services | Harvard Dataverse Support 

 

Budgeting Tipsheet for Harvard researchers - look for repository related information

Sample DMP Text for Section 6

FirstName LastName, Job Title, will be responsible for depositing all scientific data resulting from this project in a Harvard Dataverse collection. 

We will utilize custom curation services, outlined in our budget justification, to expertly curate datasets to ensure that they are discoverable, accessible, interoperable, and reusable (FAIR).