Great listing titles:
Start with company names for higher visibility.
Example: "Company X – Consumer behavior data for the US"
Use commonly used terms, no abbreviations, no internal jargon.
Example: Spell out FCD as "floating car data" or "traffic" or "GPS probe" instead of simply labeling it as FCD in the title.
Are proofread and typo-free.
Are self-explanatory and specific, free from vague and generic terms like "Location data".
Best listing descriptions:
Describe the offering from a customer standpoint and answer the question "Why would a customer purchase this data?"
Feature a clear and specific data type.
"Location data for your retail site planning" is a vague description.
"Real-time pedestrian traffic/footfall" is more precise.
Pertain to one data type only or related data types. Unrelated datasets should not be bundled into one listing.
For weather data and elevation, consider creating separate listings.
For closely related data types like weather data and wind speed or road attributes and road curvature, consider a catalog with multiple layers attached to one listing.
Specify data format and list key attributes.
Provide numbers or metrics that match those in the supporting material. If such numbers change, they may need to be reviewed on a regular basis.
Data points collected per minute.
Number of monthly active users per day/week/month.
Indicate geographical coverage, especially if the catalog only contains a small sample and the map in the listing displays only a fraction of the real coverage.
For a geo coverage with less than 10-15 countries, write a paragraph listing those: "Geographical coverage: Italy, Spain, Australia".
For an extensive geo coverage (15+ countries), make sure to check all necessary countries when creating a catalog (see Create Data Catalogs). The map in the listing will reflect your selection. Furthermore, you can create a separate Excel sheet/PDF file to upload in the Resources section or include a list into a data spec.
Indicate data freshness and update frequency.
Describe data collection mechanisms.
Example: Data is collected from proprietary IoT sensors as well as state authorities.
Briefly introduce the company.
Example: 2-3 sentences "About Us" following the data description.
Contain terminology commonly used in the industry and keywords, no abbreviations, no internal jargon.
Example: "Probe", "traffic", "mobility" for GPS data points.
Are proofread and typo-free.
The Suggested Use section typically:
Describes possible use cases based on the previous provider experience or expected/desired interaction with customers.
Is specific and emotionally neutral.
Example: "Retail location planning" is a better choice than "Choose the best location for your next store with our data!"
The References section typically:
Offers a valid URL to the company homepage.
Offers a product-specific URL.