Research Data Management

for employees and cooperation partners of Montanuniversität Leoben

Services for scientists at Montanuniversität Leoben

We support researchers at Montanuniversität throughout the entire data lifecycle—from planning to reuse. We offer flexible, on-demand advice without fixed office hours, on-site, by email, or online.

Why research data management (RDM) matters more than ever:

• Good research practice: RDM anchored in guidelines (e.g., ÖAWI guidelines from 2026). • Reuse: Internal and open reuse of data (e.g., for AI applications, follow-up studies, reduced experimental effort). • Referencing and reproducibility: Transparent results through robust data and metadata practices. • Open Science requirements: Mandates from funders and public bodies. • Collaboration and research networks: Shared standards for joint workflows.
public domain AI picture
Grossrechner
Data repository -> public domain AI picture

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Data Management Plans Data Management Plans (DMPs) DMPs are the backbone of solid RDM. Many funders (EU Framework Programmes, ERC, FWF, FFG) require project-specific DMPs. • Support for drafting: structured, funder-compliant, and practical. • DMP review: feedback on existing plans with actionable recommendations.

Data management plans ->public domain AI picture

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Repository and Long-term Preservation

Montanuniversität will launch its trustworthy research data repository by the end of 2026.

  • FIS as central hub: advice on preparing research datasets with respect to metadata and research data documentation
  • Curating of the research data for the entry into the repository 

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The FAIR principles are the gold standard for research data management: Findable, Accessible, Interoperable, Reusable. • Today, FAIR applies across the full lifecycle—from data collection and processing to publication and long-term preservation. • Our support: standards and vocabularies, metadata profiles, licensing, DOIs • Consultation how to make data discoverable, accessible, interoperable, and reusable—within and beyond the university.

FAIR principles -> public domain AI picture

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Data Life Cycle

Data Life Cycle -> public domain AI picture

Contact and next steps

Flexible advising: 
Dr. Brigitte Kriszt

Data Steward
Research Data Management
✆ +43 3842 402-8404

Send inquiry by e-mail

Current trainings and events

Upcoming trainings in Q4 2026: Introductory seminars on:

→ Designing DMPs

→ Ensuring FAIR Data

Training, Professional Development, RDM Culture, Networking

Montanuniversität will launch its trustworthy research data repository by the end of 2026.

FIS as central hub: guidance on preparing, and curating datasets for deposit.

Preparing deposits: formats, checksums, README/codebook, metadata.

Long-term preservation strategy: advice on storage, migration paths, and persistence (including DOI assignment and citability).