1. | 1 Tayfun Basal – Regional Account Director Introducing Scival and Pure Astana, Kazakhstan June, 2015

2. | 2 Scival Overview

3. | 3 SciVal Using advanced data analytics super-computer technology, SciVal allows you to instantly process an enormous amount of data to generate powerful data visualizations on-demand, in seconds.

4. | 4 Benefits for a broad range of users 4 SciVal supports the needs of a broad range of institutional users by providing ready-made, at-a-glance snapshots for flexible, institution-specific insight 360 degree Performance Overview to inform strategic planning Identify institution’s strengths and short-comings Vice chancellors of research Create management-level reports Accelerate institutional and cross-institutional collaboration Support and win large grants support and win large grants Research administrators Evaluate researcher and team performance for recruitment and retention decisions Model-test scenarios by creating virtual teams Department heads Raise visibility and highlight achievements Expand networks Locate collaborators and mentors Researchers

5. | 5 What are the questions addressed using SciVal? “I want to benchmark my institute, and my departments want to benchmark themselves. How can we all do this according to our different realities?” “How can we demonstrate excellence in a way that best shows our unique strengths to secure funding and attract students?” “My VC is going to China; who do our academics collaborate with there and how can we expand?” “My Provost is asking about early indications of what researchers are doing today; how can I get an idea what researchers are reading now within a research area?”

6. | 6 6 View the disciplinary focus of your institutions and your top researchers “How can we demonstrate excellence in a way that best shows our unique strengths to secure funding and attract students?”

7. | 7 Look through different metrics to identify ones that demonstrates your institution’s research excellence 7 See how many of your publications fall into the top 1% and 10% of the most cited articles in the world

8. | 8 View Field-Weighted Citation Impact that normalizes citation behavior for differences in size, field and publication-type Look through different metrics to identify ones that demonstrates your institution’s research excellence

9. | 9 “I want to benchmark my institute, and my departments want to benchmark themselves. How can we all do this according to our different realities?” Compare researchers, groups, institutions, countries, or regions Create your own researcher groups or publication sets Compare researchers, groups, institutions, countries, or regions Create your own researcher groups or publication sets You can easily benchmark departments and teams by pre-populating the organizational hierarchy in SciVal

10. | 10 17 sets of metrics at your disposal 10 Productivity metrics Scholarly Output h-indices (h, g, m) Citation Impact metrics Citation Count Citations per Publication Cited Publications h-indices (h, g, m) Field-Weighted Citation Impact Publications in Top Percentiles Publications in Top Journal Percentiles Collaboration Impact (geographical) Academic-Corporate Collaboration Impact Disciplinarity metrics Journal count Journal category count Collaboration metrics Authorship Count Number of Citing Countries Collaboration (geographical) Academic-Corporate Collaboration Snowball Metric; www.snowballmetrics.com/metricswww.snowballmetrics.com/metrics Slice and dice your data from multiple angles to identify your core strengths and weaknesses

11. | 11 Drill into the Google map to identity your collaboration partners in China “My VC is going to China; who do our academics collaborate with there and how can we expand?”

12. | 12 Scival Trends

13. | 13 “My Provost is asking about early indications of what researchers in our country are doing today; how can I get an idea what researchers are reading now within a research area?” Conduct Keyphrase Analyses based on Research Areas and Various Filters Renewable Energy in the Netherlands

14. | 14 Scival Trends – Analyze the research trends of any Research Area with citation and usage data Analyze with confidence – scientific impact is multi-dimensional. The combination of citation and usage data provides a more complete picture of research performance. Define and create your own Research Areas – the new Trends module builds upon SciVal’s unparalleled flexibility to create any research topic of interest, just the way you want it. Get an early indication of research visibility with usage data – the new Trends module includes usage data from ScienceDirect and Scopus to help spot early research trends. Discover the top performers and rising stars – examine your Research Areas in detail to uncover the key and emerging players.

15. | 15 Why the combination of citation and usage data? Scientific impact is multi-dimensional, and should not measured by a single indicator(only citations) usage and citation data give complementary information. Usage can be a leading indicator to citations, especially useful for fields where citations are slow to accumulate. Can be an indicator of emerging trends since it is a measure of readers’ early awareness or attention for the document: Usage generally occurs within first few months of publication Citations reach their peak value after 4 years.

16. | 16 Facts to remember about usage data 1.Usage shows early indication of research impact, since usage counts peak shortly after publication, (the “novelty factor”) usually within 2 months 2.Non-publishing researchers constitute one-third of the scientific community a)Pure readers do not publish (and hence do not cite) but they may apply journal content in their daily work – e.g. clinicians b)In universities pure readers are represented by undergraduate and graduate students 3.Views metrics in SciVal now capture the activities of this “citation silent” community

17. | 17 Trusted Partner: The gold standard: more than 150 leading research organizations rely on Scival MD Anderson Keio University Kiel University Gazi University Queen’s University Belfast Ural Federal University CAPES Brazil Nanyang Technological University UK BIS ERA 2014 UK REF Nigerian Government ISTIC Peking University NRF -Korea FCT Portugal Danish BFI Italy ANVUR IISER STINT Michigan Corporate Relations Network ReachNC Russian Foundation of Basic Research TCI - Thailand NSF European Commission & ERC Sabanci University Al-Farabi University Eurasian University

18. | 18 Kazakhstan – Performance Overview

19. | 19 Kazakhstan – Performance Overview

20. | 20 Kazakhstan – Performance Overview – Quantity vs. Quality

21. | 21 Kazakhstan – Top Institutions

22. | 22 Pure Overview

23. | 23 Performance assessment exercises for funding agencies require comprehensive, trusted, validated data about your researchers, which is necessary for strategic, evidence based funding decisions Creating, populating and maintaining such a centrally managed system can be costly and time consuming when done in-house

24. | 24 Profiles reveal insightful connections Find potential collaborators by accessing a list of experts with Fingerprints similar to the profiled researcher Identify researcher expertise at a quick glance with a visual Fingerprint You remain in control. Only authorized content is displayed online

25. | 25 View the details of each publication, including Altmetrics View the publication and its citations in Scopus View and link to Altmetrics where applicable Each article has a unique Fingerprint

26. | 26 Current Partners More than 160 clients - National Science Foundation – USA - Qatar Foundation - Royal Netherlands Academy of Arts and Sciences - UK Research Excellence Framework (REF) - Australian REF - Italian Ministry of Health - Ohio State University - Clemson University - University of Maryland in Baltimore - University of Tokyo - University of Hamburg - University of London - University of Birmingham - University of Vienna

27. | 27 Introducing Pure Pure provides a hosted, ready-to-use, centralized research networking and expertise discovery system that can: All whilst ensuring a minimal administrative burden to both research and faculty staff

28. | 28 Capture

29. | 29 Data captured from multiple channels Pre-populated with deep publications from Elsevier’s Scopus, all with minimal implementation and maintenance requirements from the customer

30. | 30 Add additional outputs to demonstrate the full range of your research outcomes Enter data for articles, books and book chapters, conference presentations, patents and more. This includes: Research output not indexed in Scopus Funding applications, Funding awards (grants that were won), Projects (which links together all content into one package so you can see who is working on the project, what funding they applied for, what they won, any outputs as a result (including datasets) Datasets (an archive of the research data with no file size limit can also be added

31. | 31 Manual Data Input

32. | 32 Capture articles from a variety of sources and import the data into profiles Pure’s publication workflow makes it simple for researchers to find their articles

33. | 33 Prevent and correct duplicate records Prevent duplication records from entering Pure via automatic duplication check upon publication entry Create a ‘super record’ where multiple entries occur, with Pure’s easy-to-use de-duplication interface

34. | 34 Identify

35. | 35 Identify – core technology Identifying the correct researcher to collaborate with in today’s multi- disciplinary global environment can be difficult Powered by the Elsevier Fingerprint Engine™, Pure uses semantic technology and field-of-research specific vocabularies to help researchers easily identify their peers’ expertise – down to the most precise terms How the Elsevier Fingerprint Engine works

36. | 36 Department Institute Research Council What new publications and grants have been produced? What trends have emerged over time? Who is working together? With what other organizations (internal and external) are we collaborating? What do we know? Individual Fingerprints Aggregated Fingerprints Fingerprints can be aggregated at various levels Aggregating researchers’ Fingerprints across organizational units allows for the institution to know what individuals know and what groups know.

37. | 37 Report

38. | 38 Report Generate and distribute validated performance metrics to accelerate grants and funding evaluations, departmental and institutional assessments, and other vital requirements Pre-defined and advanced report creation capabilities on all Pure content Schedule reports to automatically run and be sent to a predefined distribution list Apply targets to researchers, universities and research councils for predetermined research performance indicators such as Snowball Metrics via Pure’s research intelligence capabilities, then track and monitor them through dashboards

39. | 39 Pure’s data model allows for unparalleled flexibility and ease of use in creating reports Access controls ensure users can only view and report on the content relevant to them

40. | 40 Schedule reports to be generated automatically and export reports in multiple formats Reporting engine with a drag-and-drop interface enables users to build tailored reports

41. | 41 Analyze

42. | 42 Analyze – View progress at-a-glance of key milestones through Pure’s powerful dashboards Monitor: -Funding Grant Trends -Publication trends (total, publications per FTE etc) -Citation trends (total, citations per FTE etc) -Collaboration patterns -Top journal titles / researchers / h- indicies Drill down to person- or project- level detail, and click to generate instant progress reports Define performance objectives for any research team or department – including Snowball Metrics – then track their progress

43. | 43 Customizable dashboards provide administrators with an overview of strategically important metrics Dashboards can be personalized, shared and used for monitoring and reporting User controls ensure that only data relevant to the user are visible

44. | 44 Analyze collaboration networks Pure visualizes the relationships between each researcher and their collaborators, including co-authors of applications or publications as well as partners on projects

45. | 45 Rich profiles promote researchers’ activities and accomplishments “The intuitive and well-designed user interface has had excellent feedback from academic users.” Rachel Curwen, Research policy Officer, University of York, UK Profiles contain applications, awards, projects, outputs, bibliometrics, impacts, CV data, press clippings, publication impacts, activities and much more

46. | 46 Institution completes a configuration checklist Process for Elsevier to tailor an institution’s profiles Quarterly manual review Institution provides Elsevier with a list of researchers’ names, departments, universities, and Research Councils Elsevier manually reviews profiles and launches Pure Weekly automated update

47. | 47 www.elsevier.com/research-intelligence Thank you!