Research data in the project lifecycle
The expectations on research data management not only vary greatly in the individual research fields, but also depend heavily on roles and perspectives. Naturally, your needs and expectations as a researcher vary from those of funding bodies or partners in the business community.
At the beginning of your research project, tasks included finding suitable infrastructures for the management of data, granting access rights, protecting against unauthorized access and reflecting on fundamental legal and ethical questions. When it comes to making your data available to a specific user-base or publicly on the Internet, you will likely need other infrastructures, and you should therefore adhere to open and FAIR principles.
Research data management already plays a role at the project application stage, because funding organisations are increasingly focusing on open science, open data and the FAIR principles and require a description of the planned data management. We will help you with the correct formulations and with the calculation of data management costs for your grant applications.
Data management plans relate to the entire data lifecycle. They facilitate the understanding of your own data, the coordination between project partners and help to identify required resources at an early stage.
Legal and ethical conformity should also be considered at the start of the project, as open access to research data and software requires compliance with specific legal requirements. In addition to the fundamental question of ownership, these include, for example, data protection and the handling of personal data.
At the beginning of your research project and for processing your data, your tasks may include organising your data and finding suitable infrastructures for the management of data, granting access rights, and protecting against unauthorized access.
- Data organisation for quicker data retrieval
- Data documentation
- TU Wien internal infrastructures: Storing and sharing data, granting access rights
- Electronic Lab Notebooks*
*The term Electronic Lab Notebooks (ELN) covers software that helps researchers to document experiments, but also serves as a collaboration tool and for managing laboratory inventory. The TU.it offers in an early alpha phase ELN notebooks, namely Jupyter notebooks for testing.
If you are interested in this service, please send a message to email@example.com.
The demand for open access does not only apply to text publications. For many funding bodies, data and software are regarded as results which must also be made available in accordance with the FAIR principles.
Data repositories play an important role in the long-term storage and publication of research data.
Persistent identifiers (PIDs) are indispensable when you publish your data. Research data also receive a DOI and can be cited as independent publications. Persistent identifiers also make data and data producers unmistakable and visible by permanently referencing each other.
- Open science and open data
- Tips for the preservation or publication of your data
- Licences regulating reuse by third parties
- Persistent identifiers for the citation of your data
How do you as a researcher benefit from publishing your data and software?
As a researcher, how can you benefit from research data management or even the publication of your research data? We have summarized some of the advantages for you:
- The visibility, efficiency and compliance of your research activities will improve.
- Your research will be more transparent and more comprehensible.
- Your data will be safely preserved and can be easily retrieved.
- Your data will be citable.
- You can thus increase your impact factor by quoting persistent internet addresses (e.g. DOIs).
- Collaborations and interdisciplinary exchange will be facilitated.
- Your data, which can be costly and labour-intensive to generate, can be used by others and thus repeatedly serve the research community in a resource-conserving manner.
- In return, you benefit from the publicly accessible data of others.
- You will comply with the policies and guidelines of funding bodies.
- Some journals only accept articles if you publish the underlying data.
Different data, sponsors, and project phases require different services.