SlideShare a Scribd company logo
Processes to Shift / Stop: Patron Records Discussion


Definition:

   •    Grab information from a university system and load into out system (bulk)
   •    Manual adds
   •    Overlays (updates)
Authorization

   •    Role/Status (student, faculty, alums, etc)
   •    Rules for specific people/roles
   •    Associated users that might never appear in the university system
Why did we red dot?

   •    The word create my have been misleading
   •    Problem is keeping data in two places
   •    Library system can tap in rather than copy
Running an extra system for community members, etc.

   •    Problem for most LDAP systems to look in two containers. Eliminates
        duplication but confusing for patrons to have different logins.
   •    Shibboleth (trusted peer I/A/A)
Fines

   •    Could be a fine table with a key that links out to master system (rather
        than a patron table) for patron information
Issues if eliminated:

   •    Service and reliability (are the external system(s) consistently reliable?)
   •    Adds another level of dependency
   •    Political issues
   •    Security – we (library staff) won’t have as much access to the information
        (could be addressed as a “system to system access”)
   •    Library data (ex. addresses) can be more up to date (can we update?)
   •    Will a master system be willing to hold our [library-specific] information (do
        we need to keep that information?) – sub-table like fines?




OLE Project BPM Workshop – Utah – January 14-15, 2009

More Related Content

Viewers also liked

Amazing Northern Lights
Amazing Northern LightsAmazing Northern Lights
Amazing Northern Lights
Thilini
 
El Secreto
El SecretoEl Secreto
El Secreto
Juan García
 
Proagree04
Proagree04Proagree04
Proagree04
din_dekas
 
Electronic portfolio -best work so far
Electronic portfolio -best work so farElectronic portfolio -best work so far
Electronic portfolio -best work so far
taylorcockley
 
Before And After Presentation
Before And After PresentationBefore And After Presentation
Before And After Presentation
Bob Rohlfing
 
How to analyze a tv drama
How to analyze a tv drama How to analyze a tv drama
How to analyze a tv drama
taylorcockley
 
E師傅多功能服務器 20081119 簡易版
E師傅多功能服務器 20081119 簡易版E師傅多功能服務器 20081119 簡易版
E師傅多功能服務器 20081119 簡易版guest2d75d82
 
CòMo Olvidar
CòMo OlvidarCòMo Olvidar
CòMo Olvidar
Juan García
 
Elamor
ElamorElamor
Elamor
kbarona
 
Beba Agua En Ayunas
Beba Agua En AyunasBeba Agua En Ayunas
Beba Agua En Ayunas
Juan García
 
elopesandiego
elopesandiegoelopesandiego
elopesandiego
elopesandiego
 
M5 High Endorphin
M5 High EndorphinM5 High Endorphin
M5 High EndorphinFuture News
 
TwóJ Biznes W Internecie
TwóJ Biznes W InternecieTwóJ Biznes W Internecie
TwóJ Biznes W Internecie
guest5e9dd1
 
Main influences
Main influencesMain influences
Main influences
taylorcockley
 

Viewers also liked (16)

Amazing Northern Lights
Amazing Northern LightsAmazing Northern Lights
Amazing Northern Lights
 
El Secreto
El SecretoEl Secreto
El Secreto
 
Proagree04
Proagree04Proagree04
Proagree04
 
Electronic portfolio -best work so far
Electronic portfolio -best work so farElectronic portfolio -best work so far
Electronic portfolio -best work so far
 
Before And After Presentation
Before And After PresentationBefore And After Presentation
Before And After Presentation
 
Marcos martinelli
Marcos martinelliMarcos martinelli
Marcos martinelli
 
How to analyze a tv drama
How to analyze a tv drama How to analyze a tv drama
How to analyze a tv drama
 
E師傅多功能服務器 20081119 簡易版
E師傅多功能服務器 20081119 簡易版E師傅多功能服務器 20081119 簡易版
E師傅多功能服務器 20081119 簡易版
 
M7 Jigsaw
M7 JigsawM7 Jigsaw
M7 Jigsaw
 
CòMo Olvidar
CòMo OlvidarCòMo Olvidar
CòMo Olvidar
 
Elamor
ElamorElamor
Elamor
 
Beba Agua En Ayunas
Beba Agua En AyunasBeba Agua En Ayunas
Beba Agua En Ayunas
 
elopesandiego
elopesandiegoelopesandiego
elopesandiego
 
M5 High Endorphin
M5 High EndorphinM5 High Endorphin
M5 High Endorphin
 
TwóJ Biznes W Internecie
TwóJ Biznes W InternecieTwóJ Biznes W Internecie
TwóJ Biznes W Internecie
 
Main influences
Main influencesMain influences
Main influences
 

Similar to OLE Project Regional Workshop - Utah - Patron Records Discussion

Building the enterprise data architecture
Building the enterprise data architectureBuilding the enterprise data architecture
Building the enterprise data architecture
Costa Pissaris
 
2016 Building Bridges - Need for a Data Management Strategy
2016 Building Bridges - Need for a Data Management Strategy2016 Building Bridges - Need for a Data Management Strategy
2016 Building Bridges - Need for a Data Management Strategy
Brad Bronsch
 
Whats a datawarehouse
Whats a datawarehouseWhats a datawarehouse
Whats a datawarehouse
vijjudarling
 
Digital Destiny
Digital DestinyDigital Destiny
Digital Destiny
Brad Houston
 
Heterogenous data base
Heterogenous data baseHeterogenous data base
Heterogenous data base
Haqnawaz Ch
 
IEEE ICPADS 2008 - Kalman Graffi - SkyEye.KOM: An Information Management Over...
IEEE ICPADS 2008 - Kalman Graffi - SkyEye.KOM: An Information Management Over...IEEE ICPADS 2008 - Kalman Graffi - SkyEye.KOM: An Information Management Over...
IEEE ICPADS 2008 - Kalman Graffi - SkyEye.KOM: An Information Management Over...
Kalman Graffi
 
Intro to Data warehousing lecture 10
Intro to Data warehousing   lecture 10Intro to Data warehousing   lecture 10
Intro to Data warehousing lecture 10
AnwarrChaudary
 
Info systems databases
Info systems databasesInfo systems databases
Info systems databases
MR Z
 
Litereture review of inventory system
Litereture review of inventory systemLitereture review of inventory system
Litereture review of inventory system
jrang
 
Advanced Database Management System_Introduction Slide.ppt
Advanced Database Management System_Introduction Slide.pptAdvanced Database Management System_Introduction Slide.ppt
Advanced Database Management System_Introduction Slide.ppt
BikalAdhikari4
 
NetWeaver Data Management process
NetWeaver Data Management processNetWeaver Data Management process
NetWeaver Data Management process
Tony de Thomasis
 
Database Management Systems (DBMS) are software systems used to store, retrie...
Database Management Systems (DBMS) are software systems used to store, retrie...Database Management Systems (DBMS) are software systems used to store, retrie...
Database Management Systems (DBMS) are software systems used to store, retrie...
mayurjagdale4
 
Whats A Data Warehouse
Whats A Data WarehouseWhats A Data Warehouse
Whats A Data Warehouse
None None
 
Introduction to Data Warehousing
Introduction to Data WarehousingIntroduction to Data Warehousing
Introduction to Data Warehousing
Jason S
 
Data processing in Industrial Systems course notes after week 5
Data processing in Industrial Systems course notes after week 5Data processing in Industrial Systems course notes after week 5
Data processing in Industrial Systems course notes after week 5
Ufuk Cebeci
 
data base
data basedata base
data base
Surya Swaroop
 
Database failure and recovery 1
Database failure and recovery 1Database failure and recovery 1
Database failure and recovery 1
vishal choudhary
 
Lecture 1&2(rdbms-ii)
Lecture 1&2(rdbms-ii)Lecture 1&2(rdbms-ii)
Lecture 1&2(rdbms-ii)
Ravinder Kamboj
 
01-Database Administration and Management.pdf
01-Database Administration and Management.pdf01-Database Administration and Management.pdf
01-Database Administration and Management.pdf
TOUSEEQHAIDER14
 
Page Not Found; Creating a troubleshooting workflow for your library
Page Not Found; Creating a troubleshooting workflow for your libraryPage Not Found; Creating a troubleshooting workflow for your library
Page Not Found; Creating a troubleshooting workflow for your library
Rachel Becker
 

Similar to OLE Project Regional Workshop - Utah - Patron Records Discussion (20)

Building the enterprise data architecture
Building the enterprise data architectureBuilding the enterprise data architecture
Building the enterprise data architecture
 
2016 Building Bridges - Need for a Data Management Strategy
2016 Building Bridges - Need for a Data Management Strategy2016 Building Bridges - Need for a Data Management Strategy
2016 Building Bridges - Need for a Data Management Strategy
 
Whats a datawarehouse
Whats a datawarehouseWhats a datawarehouse
Whats a datawarehouse
 
Digital Destiny
Digital DestinyDigital Destiny
Digital Destiny
 
Heterogenous data base
Heterogenous data baseHeterogenous data base
Heterogenous data base
 
IEEE ICPADS 2008 - Kalman Graffi - SkyEye.KOM: An Information Management Over...
IEEE ICPADS 2008 - Kalman Graffi - SkyEye.KOM: An Information Management Over...IEEE ICPADS 2008 - Kalman Graffi - SkyEye.KOM: An Information Management Over...
IEEE ICPADS 2008 - Kalman Graffi - SkyEye.KOM: An Information Management Over...
 
Intro to Data warehousing lecture 10
Intro to Data warehousing   lecture 10Intro to Data warehousing   lecture 10
Intro to Data warehousing lecture 10
 
Info systems databases
Info systems databasesInfo systems databases
Info systems databases
 
Litereture review of inventory system
Litereture review of inventory systemLitereture review of inventory system
Litereture review of inventory system
 
Advanced Database Management System_Introduction Slide.ppt
Advanced Database Management System_Introduction Slide.pptAdvanced Database Management System_Introduction Slide.ppt
Advanced Database Management System_Introduction Slide.ppt
 
NetWeaver Data Management process
NetWeaver Data Management processNetWeaver Data Management process
NetWeaver Data Management process
 
Database Management Systems (DBMS) are software systems used to store, retrie...
Database Management Systems (DBMS) are software systems used to store, retrie...Database Management Systems (DBMS) are software systems used to store, retrie...
Database Management Systems (DBMS) are software systems used to store, retrie...
 
Whats A Data Warehouse
Whats A Data WarehouseWhats A Data Warehouse
Whats A Data Warehouse
 
Introduction to Data Warehousing
Introduction to Data WarehousingIntroduction to Data Warehousing
Introduction to Data Warehousing
 
Data processing in Industrial Systems course notes after week 5
Data processing in Industrial Systems course notes after week 5Data processing in Industrial Systems course notes after week 5
Data processing in Industrial Systems course notes after week 5
 
data base
data basedata base
data base
 
Database failure and recovery 1
Database failure and recovery 1Database failure and recovery 1
Database failure and recovery 1
 
Lecture 1&2(rdbms-ii)
Lecture 1&2(rdbms-ii)Lecture 1&2(rdbms-ii)
Lecture 1&2(rdbms-ii)
 
01-Database Administration and Management.pdf
01-Database Administration and Management.pdf01-Database Administration and Management.pdf
01-Database Administration and Management.pdf
 
Page Not Found; Creating a troubleshooting workflow for your library
Page Not Found; Creating a troubleshooting workflow for your libraryPage Not Found; Creating a troubleshooting workflow for your library
Page Not Found; Creating a troubleshooting workflow for your library
 

More from Beth Warner

OLE Project Regional Workshop - Utah - Course Reserves Discussion
OLE Project Regional Workshop - Utah - Course Reserves DiscussionOLE Project Regional Workshop - Utah - Course Reserves Discussion
OLE Project Regional Workshop - Utah - Course Reserves Discussion
Beth Warner
 
OLE Project Regional Workshop, Utah, Day 2 Agenda & Slides
OLE Project Regional Workshop, Utah, Day 2 Agenda & SlidesOLE Project Regional Workshop, Utah, Day 2 Agenda & Slides
OLE Project Regional Workshop, Utah, Day 2 Agenda & Slides
Beth Warner
 
OLE Regional Workshop, Utah, Day One
OLE Regional Workshop, Utah, Day OneOLE Regional Workshop, Utah, Day One
OLE Regional Workshop, Utah, Day One
Beth Warner
 
OLE Project Regional Workshop - University of Kansas - Day 2
OLE Project Regional Workshop - University of Kansas - Day 2OLE Project Regional Workshop - University of Kansas - Day 2
OLE Project Regional Workshop - University of Kansas - Day 2
Beth Warner
 
OLE Project Regional Workshop - University of Kansas - Day 1
OLE Project Regional Workshop - University of Kansas - Day 1OLE Project Regional Workshop - University of Kansas - Day 1
OLE Project Regional Workshop - University of Kansas - Day 1
Beth Warner
 
OLE Project - CULS Presentation
OLE Project - CULS PresentationOLE Project - CULS Presentation
OLE Project - CULS Presentation
Beth Warner
 

More from Beth Warner (6)

OLE Project Regional Workshop - Utah - Course Reserves Discussion
OLE Project Regional Workshop - Utah - Course Reserves DiscussionOLE Project Regional Workshop - Utah - Course Reserves Discussion
OLE Project Regional Workshop - Utah - Course Reserves Discussion
 
OLE Project Regional Workshop, Utah, Day 2 Agenda & Slides
OLE Project Regional Workshop, Utah, Day 2 Agenda & SlidesOLE Project Regional Workshop, Utah, Day 2 Agenda & Slides
OLE Project Regional Workshop, Utah, Day 2 Agenda & Slides
 
OLE Regional Workshop, Utah, Day One
OLE Regional Workshop, Utah, Day OneOLE Regional Workshop, Utah, Day One
OLE Regional Workshop, Utah, Day One
 
OLE Project Regional Workshop - University of Kansas - Day 2
OLE Project Regional Workshop - University of Kansas - Day 2OLE Project Regional Workshop - University of Kansas - Day 2
OLE Project Regional Workshop - University of Kansas - Day 2
 
OLE Project Regional Workshop - University of Kansas - Day 1
OLE Project Regional Workshop - University of Kansas - Day 1OLE Project Regional Workshop - University of Kansas - Day 1
OLE Project Regional Workshop - University of Kansas - Day 1
 
OLE Project - CULS Presentation
OLE Project - CULS PresentationOLE Project - CULS Presentation
OLE Project - CULS Presentation
 

Recently uploaded

Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
IndexBug
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Adtran
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems S.M.S.A.
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Zilliz
 
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
Zilliz
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Safe Software
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
panagenda
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
danishmna97
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
DianaGray10
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
Matthew Sinclair
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neo4j
 
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalizationFull-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
Zilliz
 
How to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For FlutterHow to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For Flutter
Daiki Mogmet Ito
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Speck&Tech
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
SOFTTECHHUB
 

Recently uploaded (20)

Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
 
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
 
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalizationFull-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
 
How to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For FlutterHow to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For Flutter
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
 

OLE Project Regional Workshop - Utah - Patron Records Discussion

  • 1. Processes to Shift / Stop: Patron Records Discussion Definition: • Grab information from a university system and load into out system (bulk) • Manual adds • Overlays (updates) Authorization • Role/Status (student, faculty, alums, etc) • Rules for specific people/roles • Associated users that might never appear in the university system Why did we red dot? • The word create my have been misleading • Problem is keeping data in two places • Library system can tap in rather than copy Running an extra system for community members, etc. • Problem for most LDAP systems to look in two containers. Eliminates duplication but confusing for patrons to have different logins. • Shibboleth (trusted peer I/A/A) Fines • Could be a fine table with a key that links out to master system (rather than a patron table) for patron information Issues if eliminated: • Service and reliability (are the external system(s) consistently reliable?) • Adds another level of dependency • Political issues • Security – we (library staff) won’t have as much access to the information (could be addressed as a “system to system access”) • Library data (ex. addresses) can be more up to date (can we update?) • Will a master system be willing to hold our [library-specific] information (do we need to keep that information?) – sub-table like fines? OLE Project BPM Workshop – Utah – January 14-15, 2009