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- Make sure your spreadsheet matches your data schema. What does this mean? Well, in the LUNA Collection Manager when when you established your collection properties you selected a data schema. This data schema gives structure to the data records in your collection. So when you import a .csv spreadsheet with your data, the fields in the data schema must match the fields in the spreadsheet. This means the spelling and order need to be an exact match. If they don't match you'll get an error upon upload. You can download the log to see where in the spreadsheet the discrepancy lies.
- Before you can upload a .csv file you need to have a collection created, this means establishing the collection properties in the LUNA Collection Manager.
- Check your LUNA Uploader settings! By default the Uploader settings will mark your records for display in the LUNA Viewer.
Use embedded metadata
In LUNA each media item can have a corresponding data record. Typically the data record will describe the item by using fields like Title, Creator, Date, etc. But LUNA also supports the searching and display of embedded metadata. Embedded metadata allows you to encode data about the image into the file itself. Usually this kind of information could relate to what kind of equipment was used to create the digital file, but more and more organizations are using embedded metadata to describe the item, like adding Title, Creator, and Copyright. For some a data record is enough, but for others the embedded metadata can cut out the step of having to create separate data records. Some tips:
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