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Ringgold Webinar Series: Session 1
15 January 2014
Today’s Agenda
1.Data Governance: What is it, and how can it drive business?
2.Good data health
3.Standard identifiers
4.Ringgold’s data services and how we support our clients
Why is healthy data important?
Data is - potentially - your most
valuable business asset
Healthy data can be leveraged to gain
real insight into your business, and to
support strategic planning, decision
making, and ongoing business
operations.
But when it’s unhealthy….
Poor data has real consequences
Hard to get a complete revenue picture from a single institution
Inability to see overlap between members and authors
Incomplete title metadata translates into less visibility and fewer

sales
Subscriber assigned to incorrect price tier
Inaccurate holdings reports for subscribers
Business trends become difficult to determine

Everything becomes more difficult, and less accurate
2014 Challenges
Do any of these look familiar?
Tracking funders
Open access
Author engagement

& marketing
Altmetrics

Pricing models for

subscription products
Journal mergers & launches
PDA/DDA
E-books on the rise
Total wellness program
Data governance is defined as the
processes, policies, standards, organization, & technologies
required to manage & ensure the availability, accessibility,
quality, consistency, auditability, & security of data……
In other words it’s the data equivalent of

&
Good habits pay off
 Increase consistency and confidence in decision making
 Maximize the value of your data
 Provide excellent customer service
 Designate accountability for information quality
 Minimize or eliminate re-work
 Optimize staff effectiveness
 Improve data security

So what do the steps towards total wellness look like?
Standard Data Governance Plan
…in detail: Steps 1 & 2
1. Plan & Prioritize

2. Audit & Analyze

 Scope of the data

 Audit existing data quality – how

 Identify stakeholders
 What problems are you trying to

solve?
 What goal are you trying to meet?
 Resources available
 Barriers – might be technical or
cultural
 Timescale & deadlines

bad (or good) is it?
 Review current systems,
technology, and processes, data
silos
 Where is your data housed & how
accessible is it?
…in detail: Steps 3 & 4
3. Clean Old & New Data

4. Ongoing Monitoring

 Clean & normalize existing data

 Dashboards

 Add useful data elements

 Regular audits

 Improve data capture:

 Metrics – Institutional Linking Rate

 Add dropdowns to web forms

 Staff awareness & education

 Omit free text input

 Reporting of errors

 Real-time data validation

….and do it all over again
Healthy records: an essential component of a data governance program
So What Does
“Healthy” Look
Like?
We may have a vague
sense that our data
could be better…..
To put a finer point on it…
Healthy records are:
Complete
Accurate
Free of duplicates
Current
Consistent
Conforms to standards
Regardless of the state of your data’s
health, it can be improved by the
addition of unique identifiers
Your data’s superfood
What are they? How can they help?
Numeric or alpha-numeric designations which are associated with

a single entity
Entities can be an institution, person, or piece of content
Enable the disambiguation of each entity
Proper understanding of the customer, author, reader or
institution
Proper identification of title, product, or package
Can be used internally or in conjunction with external partners
They provide a simple basis for data governance
Identifiers available
People
International Standard

Name Identifier (ISNI)
Open Researcher and
Contributor ID (ORCID)
Proprietary IDs

Content
ISSN, eISSN
ISBN
DOI
LCCN

Institutions
International Standard

Name Identifier (ISNI)
Ringgold ID
DUNS Number (D&B)
MDR PID Numbers and other
marketing IDs
Library of Congress MARC
Code List for Organizations
The more
identifiers that
are used….

tion
Cita

Author

Funders
Submission
and Peer
Review
System

End User

Discovery
Service

Consortium
Consortium

Data
Providers and
Systems
(multiple)

Publisher

Online Host
or
Technology
Partner

Library

Fulfilment
House or
System

Subscription
Agent or
Sales Agent

Societies
…the more connected data becomes.

Consortium
Little things mean a lot
Identify
Auditing
CDO
ProtoView
Identify Database:

Catalogs & classifies institutions in the scholarly publishing supply chain…..
…organizes them into hierarchies (aka “family trees”)…
…and spans all industries, market segments, and
regions.
Academia
Medical
Not-for-profit
Public libraries
Corporate
Government

Publishers
Funding bodies
Intermediaries

More than 370,000
institutions and growing
Audit Service:

Mapping Your Subscribers to Identify
Turn your customer records
from this…..

…..into this.
Identify & Auditing Use Cases
Understand & analyze your customer base
Analyze the wider market for opportunities
Disambiguate institutions & find duplicate accounts
Reveal institutional relationships with hierarchies
Enhance customer records with Identify metadata
Support pricing decisions & policies
Identify can act as an authority file of institutions in any

system: editorial, MSS submissions, CRMs, financial,
fulfillment, etc.
CDO: Consortia Directory Online

More than 400 library consortia worldwide
Understand global consortia market
Strategize & identify targets using lists of vendor content

acquired by consortia
Inform proposals with current contact details, membership
lists, links to licenses, and electronic content acquisition
policies.
ProtoView
A service that creates and disseminates book and e-book

metadata on behalf of scholarly publishers
Developed from a successful model as the next generation of
services to meet the needs of an evolving market
Guided by industry best practices and standards

Built on the Book News, Inc. foundation and its 35 years of
experience in providing promotional services for publishers
Session 2: Core Strength: Standard
Identifiers as the Foundation of Healthy
Data and the Basis for Linking Your
Supply Chain
Wednesday, January 29. 60 minutes.
Session 3: Lean and Mean: Publication
Metadata to Enhance Discovery,
Purchase and Use of Your Content
Wednesday, February 12. 60 minutes.
Session 4: 30-Minute Workout: Quick
Tips for Better Customer Data Health
Wednesday February 26. 30 minutes.
Visit www.ringgold.com to see full
descriptions & to register.
Jay Henry
Chief Marketing Officer
www.ringgold.com

Christine Orr
Sales Director

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Ringgold Webinar Series: 1. Taking Stock – Commitment to Healthy Data

  • 1. Ringgold Webinar Series: Session 1 15 January 2014
  • 2.
  • 3. Today’s Agenda 1.Data Governance: What is it, and how can it drive business? 2.Good data health 3.Standard identifiers 4.Ringgold’s data services and how we support our clients
  • 4. Why is healthy data important? Data is - potentially - your most valuable business asset Healthy data can be leveraged to gain real insight into your business, and to support strategic planning, decision making, and ongoing business operations. But when it’s unhealthy….
  • 5. Poor data has real consequences Hard to get a complete revenue picture from a single institution Inability to see overlap between members and authors Incomplete title metadata translates into less visibility and fewer sales Subscriber assigned to incorrect price tier Inaccurate holdings reports for subscribers Business trends become difficult to determine Everything becomes more difficult, and less accurate
  • 6. 2014 Challenges Do any of these look familiar? Tracking funders Open access Author engagement & marketing Altmetrics Pricing models for subscription products Journal mergers & launches PDA/DDA E-books on the rise
  • 8. Data governance is defined as the processes, policies, standards, organization, & technologies required to manage & ensure the availability, accessibility, quality, consistency, auditability, & security of data…… In other words it’s the data equivalent of &
  • 9. Good habits pay off  Increase consistency and confidence in decision making  Maximize the value of your data  Provide excellent customer service  Designate accountability for information quality  Minimize or eliminate re-work  Optimize staff effectiveness  Improve data security So what do the steps towards total wellness look like?
  • 11. …in detail: Steps 1 & 2 1. Plan & Prioritize 2. Audit & Analyze  Scope of the data  Audit existing data quality – how  Identify stakeholders  What problems are you trying to solve?  What goal are you trying to meet?  Resources available  Barriers – might be technical or cultural  Timescale & deadlines bad (or good) is it?  Review current systems, technology, and processes, data silos  Where is your data housed & how accessible is it?
  • 12. …in detail: Steps 3 & 4 3. Clean Old & New Data 4. Ongoing Monitoring  Clean & normalize existing data  Dashboards  Add useful data elements  Regular audits  Improve data capture:  Metrics – Institutional Linking Rate  Add dropdowns to web forms  Staff awareness & education  Omit free text input  Reporting of errors  Real-time data validation ….and do it all over again
  • 13. Healthy records: an essential component of a data governance program
  • 14. So What Does “Healthy” Look Like? We may have a vague sense that our data could be better…..
  • 15. To put a finer point on it… Healthy records are: Complete Accurate Free of duplicates Current Consistent Conforms to standards
  • 16. Regardless of the state of your data’s health, it can be improved by the addition of unique identifiers
  • 18. What are they? How can they help? Numeric or alpha-numeric designations which are associated with a single entity Entities can be an institution, person, or piece of content Enable the disambiguation of each entity Proper understanding of the customer, author, reader or institution Proper identification of title, product, or package Can be used internally or in conjunction with external partners They provide a simple basis for data governance
  • 19. Identifiers available People International Standard Name Identifier (ISNI) Open Researcher and Contributor ID (ORCID) Proprietary IDs Content ISSN, eISSN ISBN DOI LCCN Institutions International Standard Name Identifier (ISNI) Ringgold ID DUNS Number (D&B) MDR PID Numbers and other marketing IDs Library of Congress MARC Code List for Organizations
  • 20. The more identifiers that are used…. tion Cita Author Funders Submission and Peer Review System End User Discovery Service Consortium Consortium Data Providers and Systems (multiple) Publisher Online Host or Technology Partner Library Fulfilment House or System Subscription Agent or Sales Agent Societies
  • 21. …the more connected data becomes. Consortium
  • 24. Identify Database: Catalogs & classifies institutions in the scholarly publishing supply chain…..
  • 25. …organizes them into hierarchies (aka “family trees”)…
  • 26. …and spans all industries, market segments, and regions. Academia Medical Not-for-profit Public libraries Corporate Government Publishers Funding bodies Intermediaries More than 370,000 institutions and growing
  • 27. Audit Service: Mapping Your Subscribers to Identify Turn your customer records from this….. …..into this.
  • 28. Identify & Auditing Use Cases Understand & analyze your customer base Analyze the wider market for opportunities Disambiguate institutions & find duplicate accounts Reveal institutional relationships with hierarchies Enhance customer records with Identify metadata Support pricing decisions & policies Identify can act as an authority file of institutions in any system: editorial, MSS submissions, CRMs, financial, fulfillment, etc.
  • 29. CDO: Consortia Directory Online More than 400 library consortia worldwide Understand global consortia market Strategize & identify targets using lists of vendor content acquired by consortia Inform proposals with current contact details, membership lists, links to licenses, and electronic content acquisition policies.
  • 30. ProtoView A service that creates and disseminates book and e-book metadata on behalf of scholarly publishers Developed from a successful model as the next generation of services to meet the needs of an evolving market Guided by industry best practices and standards Built on the Book News, Inc. foundation and its 35 years of experience in providing promotional services for publishers
  • 31.
  • 32.
  • 33. Session 2: Core Strength: Standard Identifiers as the Foundation of Healthy Data and the Basis for Linking Your Supply Chain Wednesday, January 29. 60 minutes. Session 3: Lean and Mean: Publication Metadata to Enhance Discovery, Purchase and Use of Your Content Wednesday, February 12. 60 minutes. Session 4: 30-Minute Workout: Quick Tips for Better Customer Data Health Wednesday February 26. 30 minutes. Visit www.ringgold.com to see full descriptions & to register.
  • 34. Jay Henry Chief Marketing Officer www.ringgold.com Christine Orr Sales Director

Editor's Notes

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