What to have ready
You can prepare a useful overview before opening the form. Gather information about the systems your team uses and the records they contain. Keep the description at the inventory level, with enough context to explain the work behind the files.
- Your industry and the kinds of work your company performs.
- Source systems, such as email, document storage, CRM or finance software.
- The main record types, approximate volume and years of history.
- Known rights, confidentiality restrictions and material to exclude.
- The person who can answer questions about the records or exports.
What the assessment is for
The inventory helps frame a discussion about scope, buyer fit and the steps needed to describe a potential dataset. Value depends on the records and buyer interest. Volume, complexity, uniqueness, quality and domain are part of that discussion; submitting an inventory does not establish a price.
What happens next
If the inventory looks promising, DataShelf discusses fit, timing and possible next steps with you. Review how it works for the path from inventory to pricing discussions and a licensing agreement.
No files are needed to start. If you choose to provide them, use the sample page for representative file examples, export guides, exclusions and the terms shown with the upload process. Complete the manifest first.
Before you begin
Review what data qualifies, especially the excluded material. If you are uncertain about a record or a restriction, leave the file out and ask hello@datashelf.ai. Use the manifest to describe what you have, then discuss the details before preparing a full package.
Ready to discuss your records?
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