---
esco_uri: http://data.europa.eu/esco/skill/872a1632-f1db-4feb-bb27-0a6a359b7591
esco_label: "promote open innovation in research"
relation: essential
onet_soc: 15-2051.00
source: model-knowledge
confidence: high
qa_count: 0
generator: gemma3:27b (prompt-designed and spot-checked by Claude)
generated: 2026-07-10
---

# promote open innovation in research — Data Scientist

For a Data Scientist, 'promoting open innovation' isn’t about grand strategic partnerships – it’s woven into *how* you build models and solve problems. It means actively seeking out & integrating publicly available datasets (Kaggle, UCI Machine Learning Repository, government data portals) instead of solely relying on internal sources.  It also involves contributing to the open-source community: sharing code snippets via GitHub, participating in forums like Stack Overflow, or even publishing reproducible research notebooks. Daily tasks include evaluating external models/techniques for potential adaptation, and documenting your own work clearly enough that others can build upon it.

## Weitere Anreicherung

Stage-2 source for future practitioner grounding: arXiv cs.LG/stat.ML (ML preprints).
