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Archive data

At the end of your research project, it is timely to carry out the final step of dataset archiving for long-term storage, as per your Data Management Plan. In your Data Management Plan, you will have addressed the following questions:

  • What data will be kept or destroyed after the end of the project?
  • How long will data be kept?
  • Where will the data be stored?
  • What file formats will be used?
  • Who will manage the long-term data?
  • What is needed to prepare the data for preservation or data sharing?
  • What related information will be deposited with the data?

In addition to the long-term storage of your data, you will need to consider how and where to archive your proposal documents, and also to plan for the long-term upkeep and maintenance of any project-specific website that you have created.

Research Data Management

Research Data Management (RDM) refers to good practice in planning, collecting, storing, using, sharing and preserving the data generated in any research project. Both research funders and publishers increasingly expect that data resulting from research projects should be made available for scrutiny and re-use, whenever legal and ethical requirements allow. From January 2017 onwards, research data for funded projects across all Horizon2020 programmes should be made open by default, with possibilities to opt out.

Open Access

Most funding agencies have open access requirements pertaining to publications arising from your research and, increasingly, your data. A British-based service called JULIET, provides a checklist of funding agencies and their open access requirements for research outputs.

Data Repository

Funders will want you to consider how you will ensure your publications and data are accessible in the long term, for example using a recommended data centre who will ensure the safekeeping of project data.

Some funding agencies require you to deposit datasets and information products generated during the course of the research that they have funded, in specific data repositories (e.g. EPA).  Where no specific repository is imposed,  you may deposit data where you wish, provided the data corresponds with the FAIR principles, i.e. they are Findable, Accessible, Interoperable and Re-usable. You can use the Registry of Research Data Repositories to help you find a suitable discipline-specific repository. If no discipline-specific repository exists, consider using Zenodo, which is a collaboration between OpenAIRE and CERN and allows researchers to deposit both publications and data and to create links between them.

Opting Out

You can opt out of making all or part of your research data available openly. Your reasons should be stated in your proposal and in your subsequent Data Management Plan. Common reasons for opting out include:

  • Privacy
  • Intellectual Property
  • Jeopardising the project's main objectives

 

Self-Service Supports

  • Zenodo is a research data repository created by OpenAIRE and CERN, to provide a place for researchers to deposit datasets.
  • re3data is a global registry of research data repositories.