Scientific data is essential for research and development in many fields, and its provenance and lineage are crucial for ensuring the validity of these findings. However, traditional data management methods fall short of transparency and accountability, leading to data manipulation and falsification of research findings. By offering a transparent and impermeable mechanism for logging and verifying data integrity, tracking the provenance, and viewing the lineage of scientific data, blockchain technology provides a promising solution to address these issues. Metadata, verifiable research data, and configuration changes can be stored transparently and reliably using private blockchain technology. This paper proposes a framework to support secure scientific data provenance with minimum overhead on application performance while requiring minimal user intervention.