Open Data Product Builder GPT
Creating data products in a standard format is needed for scaling and tool development. For some years I’ve been working around a standard data product metadata model. Since OpenAI released tools to build GPTs for my own purposes, I took a stab at it and created a simple tool to generate data product metadata based on my own use cases. The tool enables you to build custom metadata models for your data products with pricing plans, licensing, dataops, product details, SLAs, and much more. The output is always according to the Open Data Product Specification Schema. Demo video included.
Open Data Product Specification
You might have stumbled upon Open Data Product Specification (ODPS) at some point. If not, you should take a look at it. The Open Data Product Specification is a vendor-neutral, open-source machine-readable data product metadata model. It defines the objects and attributes as well as the structure of digital data products. The work is based on existing standards (schema.org), best practices and emerging concepts like Data Mesh. The reasoning is that we reuse and proudly copy instead of reinventing the wheel. In short, ODPS is about the metadata of a data product. Why should I care for metadata?
Business metadata is crucial
Metadata management is vital in the data economy and data product development as it enables data discovery, integration, governance, and collaboration. It improves data quality, facilitates compliance, supports data monetization, and ensures efficient data lifecycle management. By effectively managing metadata, organizations can unlock the full potential of their data assets and derive maximum value from them.
Just recently OpenAI released a tool to build GPTs for your own purpose. It is a very easy-to-use no-code tool to build customer chatgpts. I did play around with it for a while and then created Open Data Product Builder GPT. What is it?
Open Data Product Builder GPT is a tool to generate business-level metadata for data products based on natural language input. The tool can generate ODPS-compatible data product specifications for all the elements in Open Data Product Specification:
Take a look at how it works
I also created a promotion video about the tool to highlight some of its capabilities. The video covers generation for just pricing plans, licensing, and bilingual data product details. As said, it can do the same for all ODPS Schema defined aspects (see above) of a data product. This is also a good example of the power of open standards. Since ODPS is open source anyone can easily build tools on top of it. I developed the tool in 15 minutes. Here’s the video.
Tool is available for ChaGPT Plus users, https://chat.openai.com/g/g-SBWSYZZg1-open-data-product-builder
Part of Data Copilots open source project
Creation of the Open Data Product Builder GPT is part of a larger open source project Data Copilots. The Data Copilot team is a combination of copilot and autonomous AI agents. Copilot Product Manager interacts with customers and a versatile team of autonomous AI agents make the customer’s needs a reality within minutes. The customer is at the core of the process and helps the AI team to finetune the data product iteratively until the perfect match is found. Read more about the Data Copilot project from https://datacopilots.com/
