The FDO manager serves as a comprehensive solution addressing some of the most pressing and challenging problems in data management today.
Drowning in Data
Modern research and industry environments generate vast amounts of data, leading to significant difficulties in data discovery and retrieval. Despite having substantial data repositories, users often struggle to find relevant data efficiently, hampering productivity and innovation.
Limited FDOs Adaptation
The principles of FAIR (Findable, Accessible, Interoperable, and Reusable) data and open science are crucial for advancing research and collaboration. However, these principles are still underutilized. Many organizations have yet to fully adopt and implement FAIR Data Objects, missing out on the benefits of enhanced data sharing and interoperability.
Data Isn't Machine-Actionable
For data to drive automation and advanced analytics, it needs to be machine-actionable. Unfortunately, a significant portion of data remains non-machine-actionable, limiting the potential for automated processes and sophisticated data analysis techniques that can lead to groundbreaking discoveries and efficiencies.
Data Inconsistency
Data inconsistency remains a major hurdle. Inconsistent data formats and definitions across different systems create barriers to integration and analysis. This inconsistency complicates data utilization, leading to errors, misinterpretations, and inefficiencies in data-driven processes.