Data Management Plan (DMP)

Answer to: Research Data Management Plan (RMP): Research Data Management Plan) is a document describing how the information and data created or generated by a research project will be organised, processed, stored and shared. DPPs are an essential part of modern research as they help to ensure the quality, availability and sustainability of data.

Answer: Having a data management plan provides the researcher with a clear plan for collecting, storing and sharing data, which improves the organisation and efficiency of research. It helps to ensure data quality and compliance with regulatory requirements, including GDPR and ethical standards. The DPP makes it easier to explain to colleagues and funders how data will be managed. It also increases data replication usability opportunities, promoting research transparency and impact. In addition, a well-designed DPP is often a prerequisite for funding and publication.

Answer: There are several advantages for students in developing a Data Management Plan (DMP):
  • Helps you figure out how to structure and store your data in time so it doesn’t get lost and is easy to use
  • Contributes to better visibility and quality of data, important for both analysis and presentation
  • Produce a thesis in line with the research requirements expected in a professional scientific environment
  • Facilitates submission, defence and possible publication of the final thesis, if data also needs to be published
It is also a practical skill that will be useful in future research or projects.

Answer toA: The Data Management Plan (DMP) starts by defining what data will be used in the study and how – how the data will be acquired, stored, processed and shared. It is recommended to use the DPP templates provided by the universities or the funders of the study. Online platforms such as, Argos and DMPonlinewhere structured DPP templates, useful additional information and guidance on filling in the template fields are available.

Answer toA: Yes, most research funders and universities require DPPs, especially for large projects. For information on the requirements, please refer to the rules of the funding programmes for research projects, as well as the internal guidelines of the institution concerned, such as a university or institute, as the requirements may vary depending on the funder, the sector or the type of project. Even if not mandatory, the development of a DPP helps to plan data collection, storage, protection and sharing in a structured way, thereby improving project quality, transparency and compliance with regulatory requirements.

Answer: The DPP must be submitted to the funder for the period covered by the study grant implementation. So – it is a plan that applies only to the specific research project being carried out Grant Within. If the doctoral research is continued in another Grant under the grant or without additional funding, it is recommended that a separate DPP be established to cover these individual projects.

Answer toA: This section should specify where the data will be stored, e.g. on a university server, on a cloud serviceand what security measures will be taken, such as data encryption, access control. It should also mention how data backup will be ensured and how Sensitive information to meet security requirements.

Answer toIn the data sharing section of the DPP, you need to specify where the data will be stored after the end of the study, e.g. in an institutional repository, a sectoral or multidisciplinary research data repository. It is important to mention whether the data will be publicly available and to describe the conditions for access, such as licensing.

Answer: A reused dataset must be clearly and unambiguously identified in the DPP so that others can identify the dataset. Recommended:
  • Indicate the official name of the dataset as it is available in the original source
  • Add the name of the repository or database from which the data came, e.g, DataverseLV, Zenodo, GitHub u. c.
  • If possible, add a persistent identifier (DOI, ARC or other trusted link)
  • If the data are derived from a scientific publication, include the full bibliographical reference
If the exact source of the data is not currently known, the DPP may include general wording such as “Publicly available environmental datasets from open-access scientific databases“.

Data Management Plan (DMP)

Answer to: Research Data Management Plan (RMP): Research Data Management Plan) is a document describing how the information and data created or generated by a research project will be organised, processed, stored and shared. DPPs are an essential part of modern research as they help to ensure the quality, availability and sustainability of data.

Answer: Having a data management plan provides the researcher with a clear plan for collecting, storing and sharing data, which improves the organisation and efficiency of research. It helps to ensure data quality and compliance with regulatory requirements, including GDPR and ethical standards. The DPP makes it easier to explain to colleagues and funders how data will be managed. It also increases data replication usability opportunities, promoting research transparency and impact. In addition, a well-designed DPP is often a prerequisite for funding and publication.

Answer: There are several advantages for students in developing a Data Management Plan (DMP):
  • Helps you figure out how to structure and store your data in time so it doesn’t get lost and is easy to use
  • Contributes to better visibility and quality of data, important for both analysis and presentation
  • Produce a thesis in line with the research requirements expected in a professional scientific environment
  • Facilitates submission, defence and possible publication of the final thesis, if data also needs to be published
It is also a practical skill that will be useful in future research or projects.

Answer toA: The Data Management Plan (DMP) starts by defining what data will be used in the study and how – how the data will be acquired, stored, processed and shared. It is recommended to use the DPP templates provided by the universities or the funders of the study. Online platforms such as, Argos and DMPonlinewhere structured DPP templates, useful additional information and guidance on filling in the template fields are available.

Answer toA: Yes, most research funders and universities require DPPs, especially for large projects. For information on the requirements, please refer to the rules of the funding programmes for research projects, as well as the internal guidelines of the institution concerned, such as a university or institute, as the requirements may vary depending on the funder, the sector or the type of project. Even if not mandatory, the development of a DPP helps to plan data collection, storage, protection and sharing in a structured way, thereby improving project quality, transparency and compliance with regulatory requirements.

Answer: The DPP must be submitted to the funder for the period covered by the study grant implementation. So – it is a plan that applies only to the specific research project being carried out Grant Within. If the doctoral research is continued in another Grant under the grant or without additional funding, it is recommended that a separate DPP be established to cover these individual projects.

Answer toA: This section should specify where the data will be stored, e.g. on a university server, on a cloud serviceand what security measures will be taken, such as data encryption, access control. It should also mention how data backup will be ensured and how Sensitive information to meet security requirements.

Answer toIn the data sharing section of the DPP, you need to specify where the data will be stored after the end of the study, e.g. in an institutional repository, a sectoral or multidisciplinary research data repository. It is important to mention whether the data will be publicly available and to describe the conditions for access, such as licensing.

Answer: A reused dataset must be clearly and unambiguously identified in the DPP so that others can identify the dataset. Recommended:
  • Indicate the official name of the dataset as it is available in the original source
  • Add the name of the repository or database from which the data came, e.g, DataverseLV, Zenodo, GitHub u. c.
  • If possible, add a persistent identifier (DOI, ARC or other trusted link)
  • If the data are derived from a scientific publication, include the full bibliographical reference
If the exact source of the data is not currently known, the DPP may include general wording such as “Publicly available environmental datasets from open-access scientific databases“.