It must contain information about:

1. What data will be obtained to develop research.
2. How they will be collected and processed.
3. Which standards and what methodology will be followed?
4. Who will be able to access the data.
5. How they will be preserved when the search is complete.

The Data Management Plan is a living document, which is drawn up at the start of a research and updated as often as necessary.

You have the free tool CORA.eiNa DMP with templates adapted to the requirements of each funding body (H2020, ERC, State Plan) and the type of research you carry out (research project, doctoral thesis, etc.). 
The tool allows you to save, edit and export your WMD, work collaboratively with other researchers and update it during the different phases of your search. Contains help and examples in all sections.  

To create a data management plan you can also refer to this guide.  

Examples of Horizon Europe data management plans

• IntelliMan

Examples of H2020 FAIR data management plans

• atherInnEU
• MagicNexus

How to make a Data Management Plan with CORA.eiNa DMP

In accordance with what is required in the Academic regulations of the School of Doctorate the data management plan must be submitted as part of the research plan.

To prepare it you can: 

• Use the specific template for Doctoral students with instructions and examples and available in English and Spanish ateiNa.DMP. Sign up and go to "Create a new plan". Important: Check the box No associated funder. 

• You can also make use of the format template Become (English) and Become (Spanish). In both cases, you can request that library staff review it (within the tool, the "Request feedback" functionality must be used to request a review of the data management plan).
• Attend the training workshop Data management plan that libraries offer periodically.   
• Go to your library or send a message to info.biblioteques@upc.edu

Check this one out rubric (Catalan), heading (English) to verify that the data management plan includes all the information necessary to manage the research data during the process of preparing the doctoral thesis.

Some postdoctoral grants establish the obligation to submit a Data Management Plan (DMP). This is the case for the grant: 

Beatriu de Pinós from the Agency for the Management of University and Research Grants (AGAUR). In the call From 2024, the PGD is required to include information on:

• The data collected or generated during the project.
• The standards and methodologies applied (formats, metadata, structuring, etc.).
• Its storage, sharing and long-term preservation.

The PGD must be submitted together with the scientific and technical monitoring report during the 18th month of the contract. It must be signed by the person applying for the grant and the person responsible.

To prepare it you can: 

• Use the specific template of the State Research Agency which contains instructions and examples and is available in Spanish and English ateiNa.DMP. Register and go to "Create a new plan" and write in the Funder box "State Research Agency". 

• On the next screen it is important to select the corresponding template to view the help guides within the eiNa.

• You can also use the template in Word format (English) (Spanish) In both cases, you can request that library staff review it.
• Attend the training workshop Management of research data that libraries offer periodically.   
• Go to your library or send a message to info.biblioteques@upc.edu

For good management of your research data, follow the steps ofthis infographic:

	(CAT) Manage research data: good practices
	(ESP) Manage research data: good practices
	(ENG) Managing research data: good practices

To organize, name and version files follow the steps inthis infographic:

	(CAT) Organize project files
	(ESP) Organize the project files
	(ENG) Organize your project files

To anonymize data you can use Amnesia, a tool that allows you to delete identifying information (names, postal code, dates of birth...) and publish datasets in accordance with the General regulations for the protection of personal data (EU)

This is a project funded by OpenAIRE2020.

To clean data and transform formats you can use OpenRefine. 
This is an open source desktop web application.

Check them out tutorials on data management