Data Management Plan (DMP) is a document that outlines activities done at every stage of work with research data. DMP should be created at the early stage of scientific research. Institutions and agencies granting financial funds for scientific research (National Science Centre (NCN),  European Commission, Economic and Social Research Council, Natural Environmental Research Council) require DMP increasingly. 

Research workers of the Gdańsk Tech can count on the support of the Competence Center also when it comes to the preparation of Research Data Management Plans (PZD). From June 2019, the National Science Center introduced the obligation to prepare such plans as part of grant competitions organized by the NCN.

From the very beginning, we conduct consultations and trainings for scientists covering the subject of collecting, managing and sharing data. Each plan is also checked and approved by us, thanks to which scientists can be sure that the plans contain the most important elements required by the National Science Center.

Of course, we are not able to overcome them in the task of preparing the plan because they know the subject of the research and the specifics of their scientific discipline best, but thanks to our tips their data will be properly secured, described and disseminated, which in turn will allow them to be found and reused by other researchers.

When preparing a Data Management Plan, you should decide where and on what terms the data will be made available. The priority for scientists when choosing an appropriate repository should be to incorporate the obtained research results into the global circulation of information. The repository should follow the FAIR principles that data must be findable, accessible, interoperable and reusable.

Please always use the name MOST Wiedzy Open Research Data Catalog in the Data Management Plan when selecting the MOST DATA Repository as the place for archiving and sharing data.

Data Management Plan templates:
What should be included in a DMP
 
  • the evaluation of accessible data, the description of drawbacks and needs,
  • the description of the way of gathering data (i.e. via using a survey, a research tool) and their type (i.e. experimental or observational data),
  • documents and standards of data description (metadata),
  • information about who is supposed to have copyrights and intellectual property rights, and also about the responsibility for managing them,
  • requirements and procedures connected with ethical aspects of gathered data,
  • the description of procedures ensuring the quality data control (the description should include the division of duties and activities related to supervising and controlling the completeness of data),
  • a plan concerning the access to data and sharing them (defining the license to make data accessible),
  • a short- and long-term strategy of storing and protecting data,
  • defining what kind of issues will be needed to conduct DMP.