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1 Patron Data Management and Library Systems: A Vendor Perspective ALA Conference Summer, 2004.

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Presentation on theme: "1 Patron Data Management and Library Systems: A Vendor Perspective ALA Conference Summer, 2004."— Presentation transcript:

1 1 Patron Data Management and Library Systems: A Vendor Perspective ALA Conference Summer, 2004

2 2 Definitions  Privacy: “…isolated from the view of others”  Manage Access: “Supervise the right to make use of”

3 3 Policy Decisions  Collect And Secure  Protect Through Ignorance (having no knowledge of) Keep All Info Collect And Secure Protect Through Ignorance Keep No Info Our Focus

4 4 Privacy Protection Program  Affirmatively Eliminate Orphaned Data  Centralize Selective Data Repository  Secure Access to Data  Evaluate Backup Procedures  Develop Written Policy Lets See What This Means…

5 5 Types of Data (Managed Access)  Personal Information  Content  Activity  Transactional

6 6 Personal Data  Bar Code (or other unique identifier)  PIN / Password  Optional: –Name –Date of Birth –Status / Access Type –Fines / Fees Owed A Unique Identifier is Required to Manage Access CIPA Compliance

7 7 Content Data  Keystroke Recordings (Auto Saves)  Saved Documents  Document Names  Browser Utilities (Favorites, History, Bookmarks)  Cookies  Web Destinations  Profiles Content Data is Not Required to Manage Access

8 8 Activity Data  Device Identification  Date & Time Stamp  Elapsed Time  Print Documentation Activity Data is Not Required to Manage Access* Daily Time Enforcement

9 9 Transactional Data  Payments  Expenditures  Account Balance  Bank Records Transactional Data is Not Required to Manage Access* COD Payment

10 10 2 Alternative Approaches  Statistical –No Data Relationship –Entries Not Readable By Man or Machine –Entry Counts Allow Limited Analysis –Summary-Only, No User Reconciliation  Detail –Relational Data –Some Entries Readable By Machine –Entry Details Allow Ad Hoc Analysis –Summary, Detail & User Reconciliation

11 11 Different Potential Results  Statistical: –Aggregate Activity and Transaction Counts –No Uniqueness Reporting –By Name: Current Account Balance Current Account Balance, Last Access Date  Detail: –Separable Activity and Transaction Counts –Uniqueness Reporting –By Name: per above, plus Activity and Transactional Reconciliation by and combination of: Date / Time / Device / Print Document Header

12 12 Conclusion  Privacy & Access Management are Compatible  Careful Construction of Database is Key  Content Need Never be Recorded  Evaluate Date, Time Stamp & Device ID –Staff Burden vs. Supported Services –Patron Reconciliation


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