HubBucket NYC Division

HubBucket NYC focuses on Scientific Information Management and Scientific Data Management. We utilize a Scientific Data Management System (SDMS) to ensure Data and Information Integrity, Data Protection, and Data Privacy.

What is a Scientific Data Management Systems (SDMS)?

Scientific Data Management Systems (SDMS) are digital tools for the safety and accessibility of scientific data. These systems allow for more efficient data organization and analysis.

How Are Scientific Data Management Systems Used?

A scientific data management system records, organizes, and stores data produced by many types of laboratory equipment. These systems are often designed for pre-defined and specific uses, and in formats with varying degrees of structure.

Here are some key characteristics:

• SDMS is designed to manage unstructured and diverse data sets, as compared to other systems that are built for highly structured and homogenous data sets. This is a critical use case given that most of the research and development data is unstructured, ranging from PDFs to spreadsheets.
• SDMS is designed for data consolidation, knowledge management, and knowledge asset realization. For this reason, they often integrate other data systems, including crucial digital tools such as electronic laboratory notebooks.

What are the benefits of Scientific Data Management Systems (SDMS )Software?

Scientific Data Management Systems (SDMS) are critical tools for the modern scientific process. Benefits include:

• SDMS solutions offer consistent, standardized formats that make the meaning of recorded data clear and concise. This capability is important because cells, columns, rows, and other elements of documents and spreadsheets incorporate metadata to have known, pre-defined identities.
• SDMS facilitates collaboration between colleagues from anywhere in the world.
• SDMS tools have an archival function, making it easy to access and share scientific data from any point in the past while providing a safe and organized space for storage.

In the last two years, the pandemic propelled the growth of Scientific Data Management Systems (SDMS) significantly. Research data management, in general, is challenging, but with the emergence of cloud-based management, lab researchers, scientists, and analysts can now better store and search for lab data and knowledge, speed up workflows and approval processes, and optimize staff collaboration. Any lab—clinical, research, contract, or pharmaceutical—can use Scientific Data Management Systems (SDMS) to ensure data integrity, regulatory compliance, and a single source of truth.

The best Scientific Data Management Systems (SDMS) manage unstructured data formats, analyze data and create lab reports, import/export data, interact with lab instruments, systems, and databases for interoperability, leverage cloud based invoicing, and integrate LIMS and e-notebooks.