Data management plan - Responsibilities and resources
The data management plan should identify the roles and responsibilities related to data management. These can be presented in earlier sections of the data management plan, but it is beneficial to summarize them as a separate section.
In smaller projects, the responsibility often lies with the principal investigator, whereas in larger projects, the practices are more complex and varied.
Example: “The project will name a team member responsible for monitoring and implementing data documentation and data management at both consortium sites. The PI and the SL will have the main responsibility of data management, monitoring it and granting access to the data. The costs associated with storing and sharing research data are regarded as overheads for the project’s host organizations (JYU and X). The preparation of the data will be supported by the Open Science Centre of JYU."
Often, data management can and should be implemented within the framework of the project’s regular work and resources. However, due to the specific characteristics of the data and research, special resources may occasionally be needed, which must be planned and secured. This helps avoid situations where there is no storage and processing environment for unusually large data sets, or where transcription and anonymisation of the data have been promised, but no resources have been allocated for this extensive work.
The plan should describe whether the data management of the current project requires special resources, what they might be, and how their availability will be ensured.
Examples: "Data management in the project doesn't require any extra resources"
“Final preparation of the metadata and publishing it will require [best estimate of time] of work. Publishing the metadata will be supported by Open Science Centre of University of Jyväskylä and publishing the research data by [name repository]. The chosen repository will describe the data in a standard metadata format and store them in a file format suitable for reuse."
“Anonymisation of sensitive data will require [best estimate of time and effort].”