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

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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

Published in: Marketing, Technology, Business
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  • Ringgold Webinar Series: 1. Taking Stock – Commitment to Healthy Data

    1. 1. Ringgold Webinar Series: Session 1 15 January 2014
    2. 2. 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
    3. 3. 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….
    4. 4. 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
    5. 5. 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
    6. 6. Total wellness program
    7. 7. 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 &
    8. 8. 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?
    9. 9. Standard Data Governance Plan
    10. 10. …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?
    11. 11. …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
    12. 12. Healthy records: an essential component of a data governance program
    13. 13. So What Does “Healthy” Look Like? We may have a vague sense that our data could be better…..
    14. 14. To put a finer point on it… Healthy records are: Complete Accurate Free of duplicates Current Consistent Conforms to standards
    15. 15. Regardless of the state of your data’s health, it can be improved by the addition of unique identifiers
    16. 16. Your data’s superfood
    17. 17. 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
    18. 18. 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
    19. 19. 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
    20. 20. …the more connected data becomes. Consortium
    21. 21. Little things mean a lot
    22. 22. Identify Auditing CDO ProtoView
    23. 23. Identify Database: Catalogs & classifies institutions in the scholarly publishing supply chain…..
    24. 24. …organizes them into hierarchies (aka “family trees”)…
    25. 25. …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
    26. 26. Audit Service: Mapping Your Subscribers to Identify Turn your customer records from this….. …..into this.
    27. 27. 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.
    28. 28. 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.
    29. 29. 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
    30. 30. 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.
    31. 31. Jay Henry Chief Marketing Officer www.ringgold.com Christine Orr Sales Director

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