Making Data VAULTIS-Compliant with Fluree
VAULTIS: Making Data Visible, Accessible, Understandable, Linked, Trusted, Interoperable, and Secure with Fluree
VAULTIS: Making Data Visible, Accessible, Understandable, Linked, Trusted, Interoperable, and Secure with Fluree
A look into the promise of privacy-preserving verifiable credentials for individuals, institutions, and machines.
Sharing is caring: getting data into the hands of many with a data-centric architecture.
Letting information defend itself from the inside out for better collaboration, compliance, and governance.
Semantic interoperability allows systems to exchange and federate data with universal meaning
Trusted Data = Efficient Digital Ecosystems, Better Decisions, and Automated Compliance.
The Data-Centric Architecture treats data as a valuable and versatile asset instead of an expensive afterthought. Data-centricity significantly simplifies security, integration, portability, and analysis while delivering faster insights across the entire data value chain. This post will introduce the concept of Data-Centricity and lay the framework for future installments on Data-Centricity.
As enterprises begin to invest heavily in extracting analytical and operational value from data, the FAIR data principles should be considered for highly-sophisticated master data management across various industries.
As enterprises move from exploration towards proofs-of-concept and beyond, six common challenges to overcome have emerged in order to successfully deploy. Today, we take a look at the lack of secure interoperability for data governance in decentralized databases.