Impact of Generative AI on Scientific Reproducibility
Analysis of new challenges posed by LLM models in the validation of experimental research protocols.
Innovative, secure, and FAIR-compliant solution for research and science.
Nexterra Science Hub is an institution that supports individuals, NGOs, and public and private institutions in their technical and scientific productivity tasks. We support you at every stage, from design to implementation of results, including data acquisition and management.
Supporting researchers in their scientific endeavours by reducing the stress associated with each stage through advice, technical support, training workshops, and individual training.
Rigorous respect for ethical protocols and compliance with international protection standards.
Foster interoperability (FAIR) to enable open and collaborative science.
Support for the design and drafting of research projects.
Collection and support for primary and secondary data acquisition.
Implementation of data management structures and compliance.
Statistical processing and scientific interpretation of results.
Articles, technical reports, and critical proofreading.
Management of colloquia, conferences, symposia, and workshops.
Scientific writing, statistical analysis, fundraising, and advanced use of Artificial Intelligence for research automation.
Original datasets collected in the field through rigorous and verified scientific protocols.
Access to consolidated, processed, and ready-to-use databases for meta-analyses and synthesis studies.
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Intelligent Workflows • Dashboards • AI
Data Protection • Compliance • Security
Genomics • FAIR Data • Health Tech
Software Dev • Expert Systems • Architecture
Inventories • Mapping • Circular Economy
Analysis of new challenges posed by LLM models in the validation of experimental research protocols.
How adopting the FAIR standard is transforming collaboration among European research centers.
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