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Data Management Plan

NSD offers a tool for creating a data management plan. A data management plan can be submitted as part of a project application for research funding and / or actively used during a research project.

Log in to use the data management planner

A data management plan is a tool for managing research data. It's a formal document that describes how data in a research project will be managed during the project period– and after the project has ended.

The purpose of a data management plan is to evaluate different aspects of the handling of research data, from collection / generation, processing, analysing, documenting, storing and future data sharing. A data management plan makes sure that the research data are handled legally, structured and safely, so that it can be stored, reused and understood in the future.

A data management plan helps you to manage and develop strategies for the following issues:

  • Existing data

    Have you checked for existing data relevant for the project? Is it necessary to collect new data and why?

  • Data collection

    Is it clear what information you are collecting and how? What kind of methods will be used to collect, process, check and validate the data?

  • Formats

    Have you decided which formats the data will be generated, stored and made available in? Will the chosen formats enable sharing and long-term storage? NSD has made a list of preferred file formats

  • Metadata

    Are your structured data self-explanatory (based on the applied names, labels and codes)? Metadata on project-, dataset- and variable levels should be provided. See NSD's documentation guide for more information.

  • Organizing data

    How are you planning on labelling and organizing your data, registries and files during the project? How will the data be managed and how will you keep track of different versions if the data is stored several places?

  • Storing and backup

    How will data be stored and backed-up during the project?

  • Responsibility

    Decide on someone to be responsible for data managing and a contact person for questions regarding the dataset.

  • Intellectual rights

    Have you decided who should own the intellectual rights to the data? Could it be appropriate with shared rights? The copyright-holder could be either a person or/and an institution/unit. Are there any copyright restrictions in relation to the data collection? Did you use any copyrighted data collection instruments?

  • Access and sharing

    Do you have a plan for sharing and publishing the data (access conditions, restrictions, embargos etc.)?

  • Archiving and preservation

    How are you planning on securing long-term data storage and preservation? NSD offers long-term secure storage of all digital research data.

  • Ethics and data protection

    How are you going to collect informed consent and secure confidentiality? Are there any other ethical issues that might occur? Will you be collecting personal data? Is it necessary to anonymize the data during the study or before the data can be shared? If NSD are to archive personal data, the data owner must have documented permission to store this information. If the data owner does not have this permission, NSD may assist anonymizing the data before archiving it.

 

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