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Metadata is data that gives a description of other data. This provides context to make it more easily understandable and usable.

All types of organization generate and use data. But given the variety of sources and different systems that create them, different datasets can be difficult to understand and use. They can be hard to compare with confidence, describe information in different ways or with different units of measurement, and it can be unclear where data has come from, when it was last updated and who the data owner is. Metadata helps give context and allow reliable comparisons and usage of shared data.

The complete guide to metadata management

What is metadata?

Metadata is data that gives a description of other data. This provides context to make it more easily understandable and usable. Most of the time, it answers the questions: who, what, where, how, and why?

It makes it easier to find, reuse and cross-reference available information. For organizations, this is a real time saver and efficiency in the data management process.

Metadata as we know it appeared with the development of the internet. But even before this the idea of metadata already existed, particularly in archives and libraries. Indeed, to search for documents, archivists and librarians had access to a file containing information about each document: the title, the location, the year of publication, etc.

Today, it is based on the same principles, except that it evolves in a computerized system. The meta titles and meta descriptions of website articles are a perfect example. They allow search engines to understand the purpose of content, allowing it to be found more easily by searchers.

What is its role?

There are different types of metadata, each with a distinct role. These include:

  • Descriptive metadata: this describes a piece of data by adding certain details. For example, the creator of the data, the title of the data, the creation date, etc.
  • Structural metadata: this allows for easy retrieval of data, since it specifies how it is classified in the information system. For example, the format or medium of the data.
  • Administrative metadata: this allows people to find all the history of the data. For example, the name of the author, the creation date and the various modifications made over time.
  • Legal metadata: to reinforce data protection, it indicates the applicable legal regime and the required retention period.

All of this metadata can be combined to describe the information within the organization. In all cases, the idea is to enable stakeholders to better manage the data at their disposal. In doing so, it contributes to good data governance.

Why use metadata?

Organizations that want to leverage their data must have a metadata strategy in place. There are several reasons for this:

  • Data quality: it helps ensure that data is processed and of high quality. It is a necessary criterion for an open data project.
  • Saving time and increasing efficiency: teams no longer need to spend hours searching for information. This also allows the company to reduce costs.
  • Collaboration between teams: thanks to the presence of a data catalog, everyone uses the same vocabulary. This facilitates understanding and collaboration between teams.
  • Data archiving: thanks to metadata, databases are interoperable and it is possible to keep an up-to-date history of information.
  • Decision making: because data is better organized, it is easier to perform cross-analysis and make decisions based on reliable facts.

How can organizations optimize the use of metadata?

It is essential to implement good metadata management as part of data governance programs. Here are some tips:

  • Establish a classification scheme: this involves defining upstream the methods for classifying the available information.
  • Create a common vocabulary: to facilitate its understanding by employees (whether they are technical or not), it is necessary to define a unique vocabulary that is accessible to all.
  • Use standards: there are several standardized models for formulating it, such as the ISO standard or the Dublin Core Metadata Initiative (DCIM). For example, the ISO 8601 standard provides universal date formats.
  • Communicate: To optimize the use of digital resources, it is essential to communicate to all collaborators the functioning and formulation of metadata.

Through the Opendatasoft platform, organizations can easily manage, apply and share metadata, ensuring datasets can be quickly and seamlessly discovered, accessed and shared.

Learn more
The complete guide to metadata management Ebook
The complete guide to metadata management

Well-structured metadata is crucial to enabling data to be found and used with confidence within organizations and ecosystems. It is central to effective data sharing and reuse. At Opendatasoft our mission is to accelerate data democratization, ensuring that everyone has access to easily understandable information in their working and home lives. Our data portal solution enables data democratization by centralizing all of an organization’s data assets and making it available to all internal and external users in a seamless, intuitive way, without requiring specialist skills or support.

Metadata management: increase efficiency with Opendatasoft’s customized templates Product
Metadata management: increase efficiency with Opendatasoft’s customized templates

Learn more about the metadata templates available on our data portal solution and how they help to improve data quality and compliance, increase efficiency and save time on a daily basis.

What is metadata and why is it as important as the data itself? Data intelligence & reporting
What is metadata and why is it as important as the data itself?

Understanding the importance of metadata and putting the right strategy in place is vital to effective data sharing and reuse via data portals to progress towards data democratization. Our comprehensive blog explains what metadata is, outlines its benefits and shares best practice for your strategy.

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