SciVal Strata

Strata

SciVal Strata is a flexible benchmarking tool that provides quantitative analyses of team or researcher performance, complementing the peer-review approach

Strata can be used to help address the following challenges:

  • Make informed decisions regarding recruitment, retention and promotion
  • Simulate collaborative networks and model scenarios based on any researcher globally
  • Assess team and researcher performance across a flexible range of benchmarks and measures
  • Assign resources by applying quantitative metrics as part of your allocation exercise
  • Showcase your excellence to support funding and assessment exercises

Flexible and comprehensive, SciVal Strata brings research performance into clear view

A highly flexible, web-based tool, Strata utilizes the Scopus dataset – the largest citation database available– to provide customizable views into crucial areas of research performance. You are not restricted to your institution – you can import any researcher that is captured within SciVerse Scopus.

Drag-and-drop evaluations

Users can simply drag and drop research teams, individual researchers, or even team hierarchies into tables and graphs that demonstrate relative levels of performance by a variety of measures.

Assemble dream teams

Teams can be composed of researchers from any affiliation, giving you the ability to model scenarios and highlight some otherwise hidden areas for investigation to help answer questions such as:

  • What potential effect could there be to our team if we recruit researcher A instead of B?
  • What could happen if researcher C leaves?
  •  If I reorganize my department, what affect could that have?

Customizable fields

SciVal Strata comes preloaded with a fully customizable and exhaustive list of subject categories and an array of options for each analysis that allow tailoring by users to meet their exact needs. Choose, amongst other things, to include or exclude self-citations, and exclude various document types in each analysis.

Flexible criteria

With SciVal Strata, decision-makers can make objective assessments of team and individual performance through both classical metrics such as productivity, citation impact and h-index which are well-suited to established researchers, and novel indicators such as citability, and collaboration activity which are also useful for Early Career Researchers (ECRs).

Sharing options

Institutions can set rules for allowing their users to share data within their organization or the broader Strata community.

See the talent you choose by the benchmarks that matter

SciVal Strata®'s intuitive interface makes it easy to compare individual and team performance within a context you can adjust to your needs.

Chart Displaying Citation benchmark. Click to display larger version

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Measure impact through multiple perspectives

Under the Influence tab, users can evaluate teams not just by raw productivity, but by their impact on other researchers and consumers of scientific information.

Chart Displaying Cited / Uncited Documents. Click to display larger version

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Customize settings to your needs

Through the My Settings tab, users can personalize their Strata experience to exclude or include self-citations, customize Reference Fields and clusters, set defaults for the time span on which they view charts and much more.

Customize settings to your needs. Click to display larger version

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What is SciVal Strata?

SciVal Strata is a tool that allows you to measure research performance using multiple metrics. It will let you understand and test how best to put your organization’s strategy in place, and how to demonstrate the value that you or your team represent to that strategy.

It does this by making it easy for the user to:

  • Take a look at performance of teams of researchers, and individual researchers
  • Judge performance in context, whether between teams and/or researchers, or against subject field averages
  • Look at performance of teams and/or researchers both within and outside your own organization (i.e. peers, competition, collaboration)
  • Look at different aspects of performance, that might be important in different fields, for different career stages, and for different questions
How is SciVal Strata different from SciVal Spotlight?

SciVal Spotlight gives a view of distinctive and emerging research competencies from an institutional level. SciVal Strata on the other hand, provides a view of research performance that starts with the researcher and can be expanded to include groups and departments and is not limited by institution.

Where does the data come from? How often is it updated?

The data underlying the analyses in SciVal Strata comes from Scopus® and is updated weekly.

I’d like to compare my researchers and teams to peers from around the world. Can I import researchers from other institutions?

Yes. SciVal Strata allows you to import specific researchers regardless of their institution.

What types of analyses are available in SciVal Strata?
  • Citation Benchmark analysis - Average citations per document, of the set of documents published in any one year.
  • Citation Indices analysis - How the documents published by a researcher or cluster generate the h-index or g-index. Document rank (by citations to date) is shown together with citations to date (h-index) or cumulative citations to date (g-index).
  • Document Output analysis - Number of documents published by publication year.
  • Citations Received analysis - Total citations received to date for the set of documents published in any one year.
  • Cited / Uncited Documents analysis - The split of documents published in any one year that have been cited at least once to date, or not yet cited at all.
  • Geographical Collaboration Network - Shows the affiliation of each co-author (from the addresses in the relevant publications) of the researcher or researchers being examined. 
  • Author Network - Shows the h- or g-index rating over time for the researcher’s or cluster’s co-authors.
Can I benchmark against national averages?

Yes. The citation benchmark analysis function allows you to compare average citations per document compared to a national average in a given Reference Field.

What is a "Reference Field"?

A Reference Field is a group of sources, such as journals, that make up a subject field, against which it makes sense to compare the performance of particular researchers or clusters. There are default Reference Fields already in SciVal Strata, or the user can define their own Reference Fields by selecting specific sources.

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