Topic: reproducible research

Reproducible research can turn scientific observations into reliable, reusable knowledge. This talk presents ReproNim and related community infrastructure for sharing data and computational workflows. It examines versioned, re-executable analysis at scale using OpenNeuro, together with harmonization and querying across dozens of research sites. ReproLakes and ReproPonds combine public and private metadata stores with FAIR and reproducible practices to improve discovery and reuse. The discussion addresses both technical obstacles and research-culture challenges, offering practical approaches fo

Recognises sustained scientific contributions to healthcare sterilization, sterility assurance and contamination control, including reproducible research, innovative methods and technologies adopted in healthcare, regulation or industry. Nominations close 15 January 2027.