Research data

At JAMK, we observe ethically sound information seeking, research and assessment methods for all research data and material in our RDI projects. JAMK adheres to the principles of open science and requires that all research data and research methods of our RDI projects be openly available, with regard to the possible restrictions set by the operating environment and research ethics.

• The further use of research data shall not be unnecessarily restricted.
• Research data shall be stored in accordance with the requirements set for scientific data.
• Data shall be collected and stored systematically.
• A data management plan shall be drafted for all projects.
• The archiving of data material shall utilise the existing, national service infrastructures.

The funders of research require, in connection with the funding applications, a data management plan which should cover the entire life cycle of the research data. The data management plan is not just a document created for the funders; it is a tool with which RDI projects can save resources, minimise data loss and ensure the safe and ethical use of data.

• Quality: Data management planning ensures the high quality and impact of research carried out in our RDI projects. The open and good management practises of research results include the good quality and high level of operations: integrity, general diligence and precision.
• Credibility and reliability: Data management planning ensures that research carried out in RDI projects is repeatable and as transparent as possible.
• Data availability: Data management ensures that research data is stored and available in an understandable format for all interested parties. It should also be managed in a manner that the researcher can locate their data material themselves. JAMK is aware of the kind of data collected in all of its projects and how to access the data.
• Visibility: More visibility and impact for both the researcher as well as JAMK’s RDI operations.
• Reusability: Data management ensures that research data can be reused. This accelerates future research processes and reduces duplicate work.
• Funding prerequisite: More and more funders require a data management plan.
• Part of the RDI process: Data management must be ensured at all stages and levels of the RDI process. It increases commercial innovation.