Metadata Management Benefits

December 10th 2020

From working closely with lab managers and technicians in the lab industry, we know the implications that can be associated with oversights in data recordings and so have taken a look into metadata management benefits.

Following the arrival of Big Data and labs beginning to utilise technology and automation, metadata allows labs to look more deeply into their data records. The management of this data is essential to adhere to regulations and for labs to be able to trust the adoption of new technologies. Metadata data management can also help labs maximise on investments in information management systems.

What is metadata?

The word ‘data’ represents a collection of information and covers a breadth of associated terms, including metadata. However, metadata and data are different as while data refers to the measurements and descriptions of lab information, metadata is the more specific and relevant interpretation of this data.

This becomes highly valuable to labs when they are aiming to add more context to their information and is an important part of the analysis process. Metadata is the analysed or processed version of raw data.

Lab teams use metadata to analyse information more easily. It is the translation of raw data and helps to make detailed and complicated data more easily interpreted. To create metadata of value, it is important that initial data recordings are accurate. Lab teams refer to accurate data recordings as ‘preserving the integrity of data’.

Why is metadata management important?

An article by Villanova University in the US highlights why metadata management is important within a data driven world. Metadata management can extend data longevity as well as facilitate data reuse and sharing.

Capturing data and sharing between lab teams in different locations means that it needs to be interpreted each time. Metadata management is important so that data can be named, tagged, stored, and archived.

Because data has many touch points and human interactions in its journey, considered management, storing and transfer is imperative. This helps to make all results accurate and guaranteed.

Labs use ELN and LIMS systems to manage data and these are important for metadata management. However, new technologies that provide labs with automation solutions where data can be tracked, stored, and transferred securely are becoming equally as essential. Technology like this can start metadata processes at the point of recording data and could revolutionise the laboratory industry.

Metadata management benefits

  • Lab teams can better understand project and research data
  • It can give context to large banks of data
  • Data that is simplified can used across the organisation
  • Saves time, as well as improves productivity while creating efficiencies
  • Ensures data quality for consistency and accuracy
  • The lineage of data collected can be easily clarified
  • Collection, storage, management, and review can all become centralised

LIMS and ELN systems allow labs to store, organise and manage large banks of data in a central place, however there are gaps in the process at the point of raw data collection. It is important for recordings to be accurate so that the data input can assist in creating valuable metadata.

Metadata management benefits include turning raw data into information that is actionable for lab teams. Through technology and automation, it is possible to ensure that all data recorded is 100% accurate. This means that labs can maximise on the investment in their ELN and LIMS systems.

This enhances the management of all metadata, ensuring that metadata is free of duplicate recordings and any potential human errors.

Are you looking for help with the accuracy of your lab data?

Find out how our data collection technology can improve your metadata management.

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