This introductory session on Wednesday 15 January covered the following:
- A review of what constitutes good data health
- Data health plan: data governance and how it can drive your business
- Overview of standard identifiers currently used in the scholarly publishing supply chain
- Introduction to Ringgold services and how we support our clients
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
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
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
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.