Kosten durch Datenverlust und Rework in der Nanoforschung
Definition
Nanotechnology projects suffer from manual validation errors leading to data loss, violating RDM best practices and requiring costly rework to reconstruct datasets for publications or follow-up studies.
Key Findings
- Financial Impact: 10-20% Projektkosten durch Rework; €10.000+ pro verlorenes Dataset
- Frequency: Pro Forschungsprojekt (jährlich mehrere)
- Root Cause: Fehlende standardisierte Tools für Validierung, wie in Uni Tübingen RDM-Richtlinien gefordert
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Nanotechnology Research.
Affected Stakeholders
Wissenschaftler, Labortechniker, Projektmanager
Deep Analysis (Premium)
Financial Impact
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Current Workarounds
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Kapazitätsverluste durch manuelle Datenvalidierung
GoBD-Verstöße durch mangelnde Forschungsdatenarchivierung
E-Rechnungsmandat in Forschungsabrechnungen
Leerlauf durch Inventarengpässe
GoBD-Verstöße bei Kalibrierungsdokumentation
Leerlauf von Nanotechnologie-Ausrüstung
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