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Data Cleaning Recommendations - Early Housekeeping

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The suggestions below are excerpts from Getting Ready for Alma and Discovery Implementation, Appendix B - Optional Data Preparations. This appendix can help you decide which clean-up efforts are a priority for your library – not everything will be relevant to all libraries. Examples of other data cleaning could work include:

  • Library and collection identification tags:

  • Bibliographic, holdings and item data

  • Enumeration

  • Statuses and codes (as discussed under #1 above)

  • Old/inconsistent data (includes old patron records, fines beyond a certain date and/or less than a certain amount; etc.)

  • Review of old, unclosed orders

  • Library and collection names

  • Patron, vendor, library contact names

  • E-resource and package resources

Tags and Identifiers:

To allow for clean migration, ensure collections are well identified. Consistent tagging is important for moving records from your source collection to Alma locations. From a consortium perspective, unique identifiers are essential for record matching in the Network Zone (NZ). In order to migrate your data:

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