Open Science
Data Steward
Contact Information:
Name: Jaromír Kovárník
Email:
Phone: +420 389 034 633
Open Science at Our Faculty
What is Open Science (OS)?
Open Science is an approach to scientific work that promotes transparency, sharing, and reproducibility of research. The main goal of OS is to ensure that scientific results are accessible to the public, the scientific community, and other stakeholders.
Open Science is an umbrella term for a variety of concepts and practices that support openness in the scientific process. It includes practices that facilitate the dissemination of results and knowledge, the accumulation of scientific understanding, and the verification of conclusions, thereby enhancing the credibility of science. The main principles of Open Science are open access, open data, open methodologies, open peer review, and open education.
Open Access: Free and unrestricted online access to scientific publications.
Open Data: Sharing of research data that is freely available for further analysis and use.
Open Methodologies: Transparent sharing of research methods and procedures.
Open Peer Review: Transparent peer review processes for scientific works.
Open Education: Sharing of educational resources and materials.
The goal of Open Science is to enhance the transparency, reproducibility, and accessibility of scientific research for the general public.
Data Management Plan (DMP)
A Data Management Plan is a formal document that outlines how data will be managed throughout the research project lifecycle, from collection to archiving.
Main components of DMP include:
- Purpose: Explains why specific data is needed and the questions the project addresses.
- Definition of Data: Describes the types of data to be collected, their formats, and how they will be organized.
- Data Collection and Access: Details how data will be collected, stored, and accessed.
- Metadata: Contextual information that makes data understandable and usable.
- Data Sharing and Reuse: Describes how data will be shared with other researchers and the public, including legal and ethical considerations.
- Long-term Preservation: Plans for long-term archiving and data protection.
A DMP is a key tool to ensure that data is properly managed, protected, and prepared for future use.
How Do We Support Open Science at Our Faculty?
Support with Data Management Plan (DMP):
Organizing research in accordance with OS principles. Assistance with structuring data collection, processing, and sharing. Providing training and consultations for DMP preparation based on funding agency requirements.
Assistance with Data Storage:
Ensuring long-term and secure data storage. We can assist you with.
- select appropriate repositories suited to specific research needs.
- Proper annotation and documentation of data for accessibility and usability by others.
Support for Open Science Compliance and Data Sharing:
- Guidance on licensing to protect data while ensuring access.
- Technical support for uploading data to repositories or sharing via platforms like EOSC (European Open Science Cloud), Zenodo, etc.
Consultation During Project Preparation
- Incorporating Open Science principles from the project design stage.
- Identifying obligations and opportunities related to open access.
Services for the project
- Creating Project Applications:
The first step involves drafting a project proposal, setting goals, and outlining preliminary data management strategies. Contact the Datasteward for assistance.
- Upon Approval:
If the project is approved, inform the Datasteward to assist with further planning and implementation of the data management plan.
- Ongoing Support:
Throughout the project's duration, the datasteward will provide consultations and support. This includes long-term data storage, sharing, and publication in line with best practices and standards.
Datasets
Our faculty offers access to a wide range of datasets available for research and other academic purposes. For more information about the available datasets and their usage conditions, please contact us.
Collaboration within EOSC
We are actively engaged with the European Open Science Cloud (EOSC), particularly within the working groups "Environmental Sciences" and "Bio/Health/Food." This initiative enables us to share and utilize scientific data at the European level, supporting Open Science and innovation. You will find data sources, a service for sharing and privately sending scientific data to colleagues, and tools and a service for data analysis.
