Wrapping Up the Year with Impact. Data Insights from Dr. Abril Azocar Guzman

As 2025 draws to a close, the final contribution to the NFDI-MatWerk Impact Insights series comes from Forschungszentrum Jülich. Dr. Abril Azocar Guzman shares her perspective on the role of research data management in materials science and how NFDI-MatWerk supports lasting progress through data-driven approaches.

In the concluding video of the NFDI-MatWerk Impact Insights series, Dr. Abril Azocar Guzman reflects on the growing importance of structured research data practices. From her point of view at Forschungszentrum Jülich, it is clear: effective research data management is not a side topic, but a prerequisite for modern materials science. 

She explains how NFDI-MatWerk helps researchers make their data FAIR and sustainably usable, an essential foundation for advancing materials informatics and enabling workflows that accelerate scientific discovery. According to Dr. Azocar Guzman, the initiative provides practical, structured guidance that supports long-term data value. This increases not only accessibility for current research, but also unlocks new potential for future analyses, automation, and interdisciplinary collaboration. 

With artificial intelligence and machine learning playing an increasingly central role, well-curated datasets are becoming key to identifying new materials and understanding their behavior. Dr. Azocar Guzman emphasizes that NFDI-MatWerk connects the community’s expertise with actionable solutions, making research more transparent, interoperable, and sustainable. 

This final insight closes the 2025 series on a forward-looking note. As the year ends, the message is clear: coordinated data practices will continue to shape the future of materials science and engineering. 

Explore more examples of how NFDI-MatWerk is driving progress across the community and learn more about the NFDI-MatWerk Project.

NFDI-MatWerk
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 38/1 – project number 460247524.

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