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UPV
 
The Data Management Plan (DMP)

A Data Management Plan (DMP) is a document that describes how research data, whether gathered or recorded during a research investigation, will be processed. The plan must detail several aspects related to the research data:

  • A list of data to be offered for open access, with a detailed description of said data

  • How access to data will be provided, so that it can be checked and reused

  • How the data will be stored, indicating the name and type of database where the data will be held

An initial version of the Data Management Plan must be delivered during the first 6 months of the project. But, as the Data Management Plan is not a static document and changes alongside the project, the DMP must be updated at least twice: halfway through the project and at the end. In addition, a new version should be drawn up if there are significant changes to the data during the project.

The document Guidelines on Data Management in Horizon 2020 provides guidelines on managing Horizon 2020 data. It is intended for applicants and beneficiaries of the projects included in the programme, and aims to provide guidance on how participants can fulfil their responsibilities with regard to the quality of the research data, how to exchange it, and data security. The CSUC has written a Guide to support researchers drawing up a data management plan, which is available in Catalan i en English.

The Data Management Plan should contain information about:

Administrative details: (Project ID, Funding Entity, Grant Number), Project Name, Project Description, Principal Investigator and contact details, Researcher responsible for the Data Management Plan and subsequent revisions, Date of first and last version of the Data Management Plan, Policies of the institution, department, etc. related to data storage and data management.

Datasets, standards and metadata: (Reference and name of the data set (or datasets), Description of the data gathered or collected, Origin of the data (if collected), source and scale (cartographic data, images, etc.), Metadata description)

Data exchange: How the data will be shared (access procedures, publication embargo periods, if any, technical means to share the data, required software or other tools for data reuse). Whether access will be open or restricted to certain groups. The database where data will be stored.

Files and storage: the procedures established to store data over the long term (storage and backups), and the period of time that the data will be stored, the final volume of data, etc.

Consult information about the cycle for scientific data and the 10 steps for writing a data management plan which can help you plan your data management.

Tools for creating Data Management Plan

Examples of Data Management Plans


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