Introducing Scival and Pure Tayfun Basal Regional Account
| Introducing Scival and Pure Tayfun Basal – Regional Account Director Astana, Kazakhstan June, 2015 1
| Scival Overview 2
| Sci. Val Using advanced data analytics super-computer technology, Sci. Val allows you to instantly process an enormous amount of data to generate powerful data visualizations on-demand, in seconds. 3
| Benefits for a broad range of users Sci. Val supports the needs of a broad range of institutional users by providing ready-made, at-a-glance snapshots for flexible, institution-specific insight Vice chancellors of research Research administrators Department heads Researchers • 360 degree Performance Overview to inform strategic planning • Identify institution’s strengths and short-comings • Create management-level reports • Accelerate institutional and cross-institutional collaboration • Support and win large grants • support and win large grants • Evaluate researcher and team performance for recruitment and retention decisions • Model-test scenarios by creating virtual teams • Raise visibility and highlight achievements • Expand networks • Locate collaborators and mentors 4 4
| What are the questions addressed using Sci. Val? “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? ” “I want to benchmark my institute, and my departments want to benchmark themselves. How can we all do this according to our different realities? ” 5
| “How can we demonstrate excellence in a way that best shows our unique strengths to secure funding and attract students? ” 6 View the disciplinary focus of your institutions and your top researchers 6
| 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 7
| Look through different metrics to identify ones that demonstrates your institution’s research excellence View Field-Weighted Citation Impact that normalizes citation behavior for differences in size, field and publication-type 8
| “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 You can easily benchmark departments and teams by pre-populating the organizational hierarchy in Sci. Val 9
| 17 sets of metrics at your disposal Slice and dice your data from multiple angles to identify your core strengths and weaknesses 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 Snowball Metric; www. snowballmetrics. com/metrics Collaboration metrics Authorship Count Number of Citing Countries Collaboration (geographical) Academic-Corporate Collaboration Disciplinarity metrics Journal count Journal category count 10 10
| “My VC is going to China; who do our academics collaborate with there and how can we expand? ” Drill into the Google map to identity your collaboration partners in China 11
| Scival Trends 12
| “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? ” Renewable Energy in the Netherlands Conduct Keyphrase Analyses based on Research Areas and Various Filters 13
| Scival Trends – Analyze the research trends of any Research Area with citation and usage data • Get an early indication of research visibility with usage data – the new Trends module includes usage data from Science. Direct 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. • 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 Sci. Val’s unparalleled flexibility to create any research topic of interest, just the way you want it. 14
| 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. 15
| 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) b) 3. Pure readers do not publish (and hence do not cite) but they may apply journal content in their daily work – e. g. clinicians In universities pure readers are represented by undergraduate and graduate students Views metrics in Sci. Val now capture the activities of this “citation silent” community 16
| 17 Trusted Partner: The gold standard: more than 150 leading research organizations rely on Scival UK REF Queen’s University Belfast Michigan Corporate Relations Network Kiel University UK BIS Russian Foundation of Basic Research Ural Federal University STINT MD Anderson Danish BFI NSF European Commission & ERC FCT Portugal Al-Farabi ISTIC University Italy ANVUR Sabanci Gazi University Eurasian University Reach. NC IISER CAPES Brazil Nigerian Government Nanyang Technological University Peking University Keio University TCI NRF -Korea Thailand ERA 2014
| Kazakhstan – Performance Overview 18
| Kazakhstan – Performance Overview 19
| Kazakhstan – Performance Overview – Quantity vs. Quality 20
| Kazakhstan – Top Institutions 21
| Pure Overview 22
| 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 23
| Profiles reveal insightful connections Find potential collaborators by accessing a list of experts with Fingerprints similar to the profiled researcher You remain in control. Only authorized content is displayed online Identify researcher expertise at a quick glance with a visual Fingerprint 24
| View the details of each publication, including Altmetrics View the publication and its citations in Scopus Each article has a unique Fingerprint View and link to Altmetrics where applicable 25
| 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 of Maryland in Baltimore University of Tokyo University of Hamburg University of London University of Birmingham University of Vienna 26
| Introducing Pure provides a hosted, ready-to-use, centralized research networking and expertise discovery system that can: Capture and structure your researcher’s CV data Identify funding opportunities, expertise and collaborative partners within your institution and across organisations using the Elsevier Fingerprint Engine™ Report Analyze on the reliable, validated content captured in Pure the progress of your research teams or departments Showcase your researcher’s accomplishments to both the internal and external research communities via the Pure Experts Portal and flexible CV creation capabilities All whilst ensuring a minimal administrative burden to both research and faculty staff 27
| Capture and structure your researcher’s data Identify funding opportunities, expertise and collaborative partners within your institution and across organisations using the Elsevier Fingerprint Engine™ Report Analyze on the reliable, validated content captured in Pure the progress of your research teams or departments Showcase your researcher’s accomplishments to both the internal and external research communities via the Pure Experts Portal and flexible CV creation capabilities 28
| 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
| 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 30
| Manual Data Input 31
| 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 32
| 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 33
| Identify Capture and structure your researcher’s CV data Identify experts, collaborative partners and funding opportunities within your institution and across organizations using the Elsevier Fingerprint Engine™ Report Analyze on the reliable, validated content captured in Pure the progress of your research teams or departments Showcase your researcher’s accomplishments to both the internal and external research communities via the Pure Experts Portal and flexible CV creation capabilities 34
| 35 Identify – core technology • Identifying the correct researcher to collaborate with in today’s multidisciplinary 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
| 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. Department Aggregated Fingerprints Individual Fingerprints 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? 36
| Report Capture and structure your researcher’s CV data Identify funding opportunities, expertise and collaborative partners within your institution and across organisations using the Elsevier Fingerprint Engine™ Report Analyze on the reliable, validated content captured in Pure the progress of your research teams or departments Showcase your researcher’s accomplishments to both the internal and external research communities via the Pure Experts Portal and flexible CV creation capabilities 37
| 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 38
| 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 39
| Reporting engine with a drag-and-drop interface enables users to build tailored reports Schedule reports to be generated automatically and export reports in multiple formats 40
| Analyze Capture and structure your researcher’s CV data Identify funding opportunities, expertise and collaborative partners within your institution and across organisations using the Elsevier Fingerprint Engine™ Report Analyze on the reliable, validated content captured in Pure the progress of your research teams or departments Showcase your researcher’s accomplishments to both the internal and external research communities via the Pure Experts Portal and flexible CV creation capabilities 41
| Analyze – View progress at-a-glance of key milestones through Pure’s powerful dashboards • Define performance objectives for any research team or department – including Snowball Metrics – then track their progress • Monitor: - Funding Grant Trends - Publication trends (total, publications per FTE etc) - Citation trends (total, citations per FTE etc) - Collaboration patterns - Top journal titles / researchers / hindicies • Drill down to person- or projectlevel detail, and click to generate instant progress reports 42
| 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 43
| 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 44
| Rich profiles promote researchers’ activities and accomplishments Profiles contain applications, awards, projects, outputs, bibliometrics, impacts, CV data, press clippings, publication impacts, activities and much more “The intuitive and well-designed user interface has had excellent feedback from academic users. ” Rachel Curwen, Research policy Officer, University of York, UK 45
| Process for Elsevier to tailor an institution’s profiles Institution provides Elsevier with a list of researchers’ names, departments, universities, and Research Councils Institution completes a configuration checklist Elsevier manually reviews profiles and launches Pure Weekly automated update Quarterly manual review 46
| Thank you! www. elsevier. com/research-intelligence 47
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