- 27. syysk. 2021
- 2 min
- 2. syysk. 2021
- 1 min
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#1 Data Economy standard
Open Data Product Specification
Technical specification of a machine-readable data product metadata model. It defines the objects and attributes as well as the structure of digital data products.
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Build-in aspects:
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Technical (infrastructure & access)
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Business (pricing & plans)
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Legal (licensing & IPR)
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Ethical (privacy & mydata)
NEWS & Updates
The Open Data Product Specification aims for the same impact in the Data Economy as what OpenAPI specification did for the API Economy.
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The data products and data as a service solutions are spread around increasing amount of market places, tool stack for the data product design, development and management is a wild west, consumers have a hard time knowing what they are purchasing or how to compare data products to find a best possible fit in their situation.
In short, the data economy lacks a data product standard. By working together and openly, we can increase interoperability, growth, and data reuse with help of shared specification.
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International standards are a vital tool in ensuring products and services are interchangeable and compatible across borders, removing barriers to trade, reducing production and supply chain costs and building confidence in business services and protecting consumers.
Critical part of the
value chain
The specification enables frictionless value chain development operations between data product design tools, data marketplaces, data platforms, and data pipelines.
The standard enables multichannel multi headed hydra solution output.
Benefits for the
data Economy
Enable interoperability between organizations, data platforms, marketplaces, and tools.
Reduce data product metadata conversions and errors between systems and organizations
Increase the speed of designing, testing, and implementing data products.
Speed up tools development around data product design, development and management.
Enable creation of automated data product deployment with standard methods (DataOps)
What data management professionals say
Jouni Miikki,
Principal Software Engineer
Great way to keep everything together and inform about the data product and licensing model involved with it.
Antti Loukiala,
Technical Lead Data Platforms
Standardization of commonly needed parts. There is a clear need for this kind of standardization.
Piyush Palka,
Chief Data Officer
This is fantastic! A lot of organizations can have clarity on how data should be monetized and if they want to what could be the design specification and pricing models.
4 Build-in aspects
BUSINESS
The model contains standard objects to define any modern business model for the data product including subscription, dynamic pricing, and pay per use.
Common product attributes have been included as well. Quality attributes and SLA help you to describe level of service.
TECHNOLOGY
The standard describes the needed technical aspects of the data product including data pipeline and access to it, data models used and deployment.
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The standard enables fluent DataOps and pipeline development for the purposes of business.
LEGAL
Data licensing has been standardized and made easy and fast to implement.
With predefined options anyone can easily define terms and conditions for sharing the data.
ETHICAL
The model fulfills the current requirement of taking privacy and personal data aspects into account.
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With clarity in what to include in the license, all parties involved know what they get and what they are allowed to do with the data.
9 Design principles
Make it hard to misuse
Must be Practical
Make it long-lasting
If practice deviates from the spec, change the spec
Do the hard work to make it simple
Consistent in content and style
Developer experience is the key
Reuse existing solutions
MAke, learn, validate, iterate
How it all got started?
Jarkko Moilanen was invited to join the ranks of data platform development company in Dec 2018. In May 2019 Jarkko had worked with multiple data operating companies and discovered the need to build new tools - business tools for data owners. This resulted in the creation of Data Product Toolkit.
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The toolkit however was somewhat crippled without underlying machine-readable data product standard; something that binds together business, technology, legal and ethical aspects of the data product. The idea of Open Data Product Specification was born around Sept 2019. However, the idea was buried under other development tasks and the dream almost died.
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Sept 2021 Jarkko resurrected the standardization idea and quickly drafted the first version of the specification in cooperation with Jussi Niilahti.
The Open Data Prioduct Specification version 1.0 was published in 5th Feb 2022.
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Open Data Product Initiative
Open Data Product Initiative (“ODPI”) provides an open source community, within which industry participants may easily contribute to building vendor-neutral, portable and open specifications for providing technical metadata for Data Products and Services – such as the “Open Data Product Specification” – and supporting tooling for validating the integrity of the specifications or instantiations of it.
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The ODPI is as such not intended to be a destination for community/consumer-focused tooling outside of the specification itself.
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At the moment development and maintenance will be managed in an open source, Technical Steering Committee (“TSC”), open to any participant. In addition companies can purchase membership which gives them a seat at the Strategy Group.
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