During research projects, research data go through different phases - the so-called data life cycle. For the correct setup of processes in all phases of this cycle, the management of research data and the creation of a Data Management Plan is crucial, the creation and continuous updating of which should be an obvious part of the project solution.
♻️ DATA MANAGEMENT PLANNING
involves outlining how scientific data will be handled throughout a project's lifecycle. A Data Management Plan (DMP) documents these activities and processes. It's a living document that should be regularly updated throughout the research project. In some cases, the DMP must be submitted alongside the project proposal and included in reports.
MU staff and students are encouraged to use the University's instance of the Data Stewardship Wizard (DSW) tool to create their DMPs. DSW provides predefined templates and tracks compliance with each FAIR principle. Integrated into the ISEP system, DSW allows you to create or update a DMP directly on the project page.
👉Tip: Instructions for working with Data Stewardship Wizard at MU
👉We have created a checklist to help you write your DMP.
📂 FAIR AND OPEN DATA
Handling research data according to FAIR principles and the motto "As open as possible, as closed as necessary" is a cornerstone of open science. Research data management in a project should adhere to these principles. Providers often require making data open when feasible, ideally by depositing it in a trusted repository.
💾 INFRASTRUCTURE
MU Storages: MU offers various data storage options tailored to different data types. The Recommendations for the Usage of Storages helps determine the appropriate storage type for specific data.
SensitiveCloud – infrastructure for handling sensitive data
CESNET Storage Department – for data backup, archiving, and sharing
Data repositories: Just as with publishing, it's important to choose a trusted repository for storing data, whether it's an institutional, subject-specific, or general repository. The National Repository operated by CESNET is currently in its pilot phase.
EOSC: The European Open Science Cloud (EOSC) is an initiative by the European Commission to develop a unified research infrastructure, offering free services for storing, processing, sharing, analyzing, and reusing research data. The EOSC is now being implemented in the Czech Republic to establish a national node and promote best practices in research data management across scientific communities. The main goal is to create a National Data Infrastructure for sharing, managing, and accessing data and computing resources for research purposes.
👉Tip: General recommendations for metadata description of research outputs and research data (Czech only)