Standardization of Data and Metadata

How Will It Be Standardized?

Data / Metadata Formats

• Use of widely accepted formats (e.g., CSV, JSON, HDF5 for data; XML, JSON-LD for metadata).
• Consistent naming conventions and file structures.

Standards

• Adherence to domain-specific standards (e.g., Darwin Core for biodiversity data, DICOM for medical imaging).
• Compliance with FAIR principles (Findable, Accessible, Interoperable, Reusable).

QA/QC Methods

• Implementation of quality assurance and quality control processes.
• Regular audits and validation checks to ensure data integrity.