Top tier folders
| Alma Analytics catalog | Top tier folders |
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How to use the Catalog in Analytics
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My Folders | This is your folder to do with as you wish. The contents are not accessible to other Analytics users. | Use My Folders for analyses in development, so that others don't find your analysis and think that it's finished and ready to be shared. Use My Folders to store backup copies. Organization of My Folders is up to you; you can create subfolders for different projects, types of analyses, or analyses on different Analytics subject areas. | ||||||||
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Shared Folders > Harvard University
| This folder is accessible by all Analytics users at Harvard. The folders under here all have a specific purpose.
| Before starting a new analysis, search Harvard University shared folders for analyses that will meet your needs as-is, or with some modification. If you want to use an analysis in Harvard University folders as the basis of a new analysis, first save a copy to My Folders.
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| Shared Folders > Harvard University > _Collaboration | A place to temporarily put an analysis in development so that you can work on it with other Harvard colleagues. You may create subfolders in this folder as needed. | The Collaboration subfolder is for interdepartmental collaboration, an example being submitting a ticket to the Analytics and Reporting Working Group for help creating an analysis. One of the members would save a report to a folder under their name for you to access and verify. If an analysis is in development and you wish to share it with a Harvard colleague in order to collaborate, save it here. If you work on analyses in the Collaboration folder, you may want to keep a backup in My Folders, since analyses in this folder may be changed or deleted by others. | ||||||||
| Shared Folders > Harvard University > _Departmental Reports | A place for analyses developed for use by a particular department. | Analyses in each of the Department folders support work of staff in that department. You can add subfolders to your department's folder.
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| Shared Folders > Harvard University > _Training | The Training folder contains analyses used in Alma Analytics training materials developed by Analytics and Reporting Working Group. | These analyses should not be modified. | ||||||||
| Shared Folders > Harvard University > _WGs | The WG subfolder (short for "working group") is for analyses created for use by Alma Working Groups (Analytics and Reporting, Technical Services, Fulfillment). |
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| Shared Folders > Harvard University > [Subject Area Folders] | Analyses in the subject area folders have been designed to meet a broad array of information needs and to provide multiple prompts for customizing the output. The subject area folders under Harvard University are organized according to the Analytics subject areas. If you know which subject has the data you need, you can go directly to the folder with the same name and browse available analyses. | Analyses in these folders are meant for the general use of all Harvard units. They use prompt pages instead of hard-coded filters. Please test that the report output is correct for your unit. If you wish to request either modifications or a new report in these folders, please submit your request to the Analytics & Reporting Working Group support queue.
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Analyses created by other Alma institutions
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The Community folder contains analyses created by other Alma institutions.
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Community also provides an environment for collaborating with Analytics experts at other institutions. Reports in Community are accessible by all Analytics users at all Alma institutions. If you are developing a report with someone at another institution, they (and others) will be able to access the report configuration and make changes.
Analyses created by Ex Libris
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Ex Libris created the analyses in the Alma folder for all libraries working in Alma . Ex Libris has tried to anticipate library reporting needs by creating dozens of simple analyses and has made them available for libraries to copy, change, and reuse locally. Most of these analyses require adding a filter or prompt to make them usable with a large data set like Harvard’s.
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