Complete, Correct, Inter-connected and Current: Making the most of better data in Pure. Thomas Gurney Product Manager, Data Models Oct, 2018

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Transcription:

0 Complete, Correct, Inter-connected and Current: Making the most of better data in Pure. Thomas Gurney Product Manager, Data Models Oct, 2018

1 Section 1 Introduction

2 Pure Pure is, and remains, a product for institutions We maintain a focus on Pure and increase our focus on the Elsevier side We are actively improving our 3 rd party integration The open and agnostic agenda is core to Pure Stability and Quality

3 Section 2 Data in Pure

4 Data quality in Pure PROBLEM SOLUTION Our customers cannot 100% rely on, and trust, Pure as a system of record Implement smarter and more effective data control in Pure Incorrect data is contrary to the overall use case(s) of Pure Establish feedback loops between Pure, customers and data sources Loading

5 Data Mantra Complete Correct Inter-Connected Current Data should cover the Data added to Pure Data within Pure Data in Pure should, Essential depth and breadth of what is required by should be as close to the source of record should be linked to the right entities, in at least, be as up-todate as the source of the customer. version as possible. the right manner. record. The more complete Having the correct Connected data Up-to-date data Value the data, the greater the scope for insights data ensures decisions are based surfaces more insights and ensures the right decisions are made at derived from Pure on fact, not typos opportunities the right time

6 Data as objects in a network Complete Correct Current Interconnected Object B 1. AA 2. BB T2 Object A 1. 2. 3. 4. 5. 6. Object A 1. AA 2. BB 3. g 4. Dd 5. ee 6. k Object A 1. AA 2. BB 3. CC 4. DD 5. EE 6. FF Utility Object A 1. AA 2. BB 3. CC 4. DD 5. EE 6. FF 7. GG T2 Object A 1. AA 2. BB 3. CC 4. DD 5. EE 6. FF 7. GG T2 Object C 4. DD 5. EE Object D 1. AA 2. BB 3. CC 4. DD 5. EE 6. FF 7. GG T2 T2

7 Section 3 Data driving development

8 Data Models overview 5.14 and beyond 5.14 Complete (Depth and breadth) Correct (X=X, Y=Y) Inter-connected (Impact and context) Current (The right data, now) Utility (Making it all work, better) Available updates + PlumX integration PUX Authorships + Federated search 2019 PUX expansion Feedback to sources Deduplication Improved search Updated editors

9 Available updates from online sources + Introduced in 5.13 Compares data already in Pure with that in subscribed import sources In 5.14, advanced logic statements If original value in [field & sub-field] is empty/has content, and there is an update from [source], automagically/manually [action] suggested update value And, part of content creation flow When using import from online source, checks if content as is can be improved Complete Correct Interconnected Current Utility

10 Personal User Homepage Introduce in 5.14 Add System of Engagement layer to Pure Impact and context relevant to the user Connecting person-specific data with bibliometrics Context expansions for 2019 Not everyone has projects Complete Correct Current Interconnected Utility

11 Federated search Introduce in 2019 Search across all import sources at once Leverage all available data Smart search and content creation Remain agnostic to source, true to data quality Build content from multiple sources at once Complete Correct Current Interconnected Utility

12 Section 3 Summary and concluding remarks

13 Tying it all together Features Complete Insights Improvements (Utility) Data in Pure Correct Pure Decisions Defect fixes Current Interconnected Opportunities

14 Supporting development processes Stability and Quality Stability Our releases don t break existing functionality or cause disruptions in service Focus on defects Pulling features from a release if it does not contribute to larger use cases Quality Development process meets use cases Work is iterative agile and discovery throughout Complex product we need your input

15 Questions or comments (Quemments)?

16 Thank you. Contact: Thomas Gurney Pure Support (Jira), User Groups, Slack www.elsevier.com/research-intelligence