Team e-Science-Service Research Data Management at the University of Siegen
The e-Science Service team, a joint initiative of the University Library (UB) and the Center for Information and Media Technology (ZIMT), helps you to manage your Research Data Management in accordance with good scientific practice, the FAIR principles
and Open Science
principles.
Our service
We support you throughout the entire data life cycle - from planning, collection and documentation through to archiving and publication.
We offer you comprehensive, individual advice, courses and technical support, e.g. on:
- Fundamentals and FDM standards such as metadata and persistent identifiers
- Data management plans(RDMO)
- data storage
- data organization
- data archiving
- Data publication
- Subject-specific repositories and the university's own repository(FoDaSi)
Please contact us by e-mail: e-science-service@uni-siegen.de
All about Research Data Management
To support you in your scientific work, we offer access and support for various topics and tools.
Good documentation helps to quickly find, correctly understand and reuse data later on. In addition to a simple README file or a codebook that explains methods and context, data management plans and electronic lab books
can also be suitable tools to supplement your data sets and make them understandable. In addition, use metadata standards of your discipline to ensure findability, comparability and reuse.
Before you start I - DFG checklist
The DFG expects reliable, transparent information on Research Data Management in the proposal and provides a checklist that should definitely be used.
Data management plan (DMP) with RDMO
Create a data management plan with the Research Data Management Organizer (RDMO) of the University of Siegen.
Manage data with Coscine
The platform enables you to organize, store, add metadata to and archive the data generated during the project phase of your research project across all locations.
When working collaboratively with data, it is important that everyone involved uses common, easy-to-understand rules for naming, storing and documenting files right from the start so that data remains easy to find and understand for everyone in the team. Central, shared storage locations with clearly regulated access rightsensure that data is secure and can still be easily shared and jointly edited within the team.
Coscine
The platform enables you to organize, store, add metadata to and archive the data generated during the project phase of your research project across all locations.
The data is stored on servers in Germany. The platform also backs up versions of the data and stores them for up to 10 years after the end of the project.
GitLab
GitLab is a web-based platform for version control and project management. With GitLab, files in projects can be managed, saved and versioned.
You can edit code, scripts or texts together, document changes in a traceable manner and restore older editing statuses at any time.
GitLab offers numerous functions to help you organize your research project: These include an integrated wiki for documentation, a shared storage location with versioning (so-called Git repository), the option of access control and role allocation as well as a ticket system with which tasks can be clearly planned and tracked in Kanban boards, for example.
Open Science Framework (OSF)
The Open Science Framework (OSF) is an open source platform to support the entire research data lifecycle.
It is used to organize scientific projects on which you can centrally collect, structure and manage all components of your research project - from initial hypotheses to data management plans, the research data itself, to analyses, elaborations and publications. It also offers a wiki for notes, comment areas and task lists.
The platform supports location-independent collaboration through version control and differentiated role and access settings.
Project data is stored on servers in Germany and can be specifically released with usage licenses. External services such as repositories or GitLab can also be integrated to efficiently manage large volumes of data. When a project is published, you receive a DOI for long-term referencing.
During the research process, data should be regularly backed up, stored in a structured manner and versioned in order to document work progress and avoid data loss. The 3-2-1 rule provides a central guideline here: there should be at least three copies on two different storage media, with one copy being stored at an external location. After completion of the project, long-term storage in suitable repositories takes place, if possible, so that the data remains traceable, citable and available for subsequent use.
FoDaSi
FoDaSi offers the opportunity to store research data in the university's own management system for the long term and to make it freely available in accordance with the FAIR principles (see also Publishing and archiving data).
Scientific Computing (HPC)
The ZIMT operates the OMNI cluster and other computing systems to enable scientists at the University of Siegen to perform scientific computing.
Storage services
ZIMT provides a central infrastructure for file-based storage services.
Cloud
Sciebo is a non-commercial, NRW-wide cloud storage service for research, studies and teaching, operated by universities for universities, to securely synchronize, store and collaboratively share files, with a focus on data security through storage in NRW.
Coscine
The platform enables you to organize, store, add metadata to and archive the data generated during the project phase of your research project across all locations.
The data is stored on servers in Germany. The platform also backs up versions of the data and stores them for up to 10 years after the end of the project.
Data can provide valuable impetus not only for your own research, but also for new projects. Publishing your data sets in a repository ensures the visibility, traceability, reproducibility and reusability of your data. Published research data is recognized as an independent publication.
Data can also be archived via repositories.
FoDaSi
FoDaSi offers the possibility of not only storing research data in the university's own management system in the long term, but also making it freely available in accordance with the FAIR principles.
Repositories and search services for repositories
Under the following link you will find subject-specific and interdisciplinary repositories as well as search services for repositories for the long-term archiving of research data.
