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Results Oriented Research Performance
Evaluation ’’Introducing Reliable and Efficient
PerformanceIndicators in Academic World’’
Tayfun BASAL
Regional Director , Elsevier – Turkey, Iran, ME & Central Asia
Gultekin GURDAL
Library Director, Izmir Institute of Technology
QQML 2014. 6th International Conference on. Qualitative and Quantitative Methods in Libraries.
27 - 30 May 2014 Istanbul
Conceptual expectations from
scientific production on the national
scale
• Being scientifically competent
• Strong obligation of having a information/knowledge based
economy
• Global qualification of research outputs
• Using the potential of scientific research to foster innovation
and economical growth
Social & Economical
Improvement of the Country
Direct contribution of science to
economy
Economical
Development
Technology
/Know
How
Scientific
Production
Everyone needs challenges to
be better…
Major Challenges
• Academic grants system pressure on researchers to focus on
quantitative production
• Missing focus on the national scale to pay specific attention to
research in universities (separating teaching & research focus)
• Researchers are expected to run both teaching and research
activities and nevertheless do administrative work as well which
maintain less focus on research
• Lack of enough funding to do more qualified research
• Lack of tools to showcase success also does not support search for
further funding opportunities
• Lack of competitive benchmark mechanism lead by research
governors create unfair competition between researchers
• lack of enough PhD students
Key steps to create a more
competitive research environment
• Strategic planning and support for capacity building
• Enhancing infrastructure for research
• Fundamental set up for higher education research world
but customized plans on different needs of institutions
• Better financial support and additional funding
opportunities in benchmark to global leaders
• Better compensation opportunities for innovative research
projects and hence regulate relevant innovation
frameworks
• Provide alignment strategies and support initiatives to
encourage better collaboration between corporates and
academic world (benchmark from global success stories)
How to integrate academic
researchers into a new world?
• Research administrators should define transparent,
competitive and objective performance indicators to
encourage research success
• Demographic factors should taken into account while
performance measurement frame work is being designed
• Status relevant issues should be factored into evaluation analysis
(additional workloads, subject/discipline related
advantages/disadvantages, experience level)
• Outputs on quantitative level combined with qualitative insights
should be introduced in assessments to have a better
understanding of the current performance; nevertheless,
benchmark based tasks/targets should be introduced)
Define priorities and measure
success accordingly
• Researchers should be informed in advance regarding
different scale expectations and there should be a strong
alignment between institutional management and researchers
• Global, national, institutional priorities should be defined and
relevant achievements should be incentivized as a result
National
science
strategies
Local
competencies
Global
visibility and
competition
success
Questions to answer before
defining the frame work…
• What is National Higher Education Research Agenda?
• How can we address regional , national and institutional issues
with a multilayered research policy approach?
• What is the most efficient way of measuring innovative
science and what are the most useful tools to offer in order to
encourage scientists/institutions better?
• How can we make the successful researchers, institutions and
competitive fields more visible on the national & global scale?
Must have or fundamental
steps…
• Maintaining researchers orientations or trainings at the
• Providing required set of scientific reference data and
solutions to researchers
• Set up a successful institutional management system to
observe and regulate process steps
• Lead the way to facilitate funding flows into the institution
What are the first steps of defining
performance indicators?
• Extend your assessment to find out institutional competencies
and hence prioritize relevant subject areas, disciplines &
contributing researchers
• Set competitive benchmarks to leverage current performance;
nevertheless, provide benchmark updates on a regular basis
to catchup with competition and better understand global
trends
• Tailor efficient strategies to support increase of national and
global visibility
Limitations of the discussion
and main topic
• This study in particular focus on better evaluation of research
outputs and hence we are not going to discuss the others that
should be included within performance measurement system
frame work as a whole such as demographic factors and status
relevant concerns. It is believed that this may be another topic
of discussion for an article from the field of sociology.
A sample set of analysis &
ideas to materialize thoughts
• One of the biggest challenges
while evaluating the research
outputs is how to address the
subject field or discipline
related variations in between
different researchers
• Traditional ways of measuring
quality and impact of science is
not observed to be
efficient/objective anymore
• Several different researches
and discussions around the
topic agree that a merge of
below would bring a better
solution to the challenges
Quantitative
analysis
Qualitative
analysis
Visibility/Impact
analysis
Some indicators to focus
• Country specific indicators
• Institution specific indicators
• Department/project group specific indicators
• Researcher specific indicators
Ambition is not to re-invent the wheel
! Point is whom should be
compared/benchmarked against
whom and what should be the context
and how should we select/define the
indicators?
Some global examples for
performance indicators/metrics
Each case has its own
priorities…
Therefore most relevant indicators/metrics can be aggregated
from current pool, define new ones to fit requirements or
readapted from current ones….this study would like to focus on
more qualitative indicators and set benchmarks from Turkish
case example and then try to redesign some new ones if
necessary!.....
Case study data analysis for
Turkey
Multiple layers of benchmarks
• Global benchmarks
• Regional (geography ) benchmarks
• National benchmarks
• Institutional benchmarks
• Individual (researcher benchmarks)
Selecting a sample metric to be
used for benchmarks
• Citations per publication ”CPP” (one of the snowball metrics
and also widely agreed/perceived to be one of the important
metrics for research performance measurements). CPP will be
used as the sample metric in the following analysis of different
benchmark scales
Global benchmarks
Turkey is underperforming against world benchmark but doing much
better in comparison to Brics group
Regional Benchmarks
Turkey is underperforming against middle east and asia pacific but
closing the gap with 2 regions in the last 6-7 years
Institutionalbenchmarks(Mostproductive2
Turkishinstitutionsare selectedas case
examples;Istanbul& Hacettepe)
Both universities are performing better than Turkey and their
individual performance is very close to each other
Individual(researcher)benchmarksin a certain
selectedarea(L.Akarun, computerscience)
Selected researcher is performing much better than Turkey in the field
of computer science but having a parallel performance in comparison
to her performance against her university where she is affiliated.
Some findings & proposals
• The benchmark that is selected to measure and individual
performance is highly dependent on the benchmark scale that
evaluation is performed.
For example total score for the individual with respect to
citations per publication may be defined as;
• 20% for institutional performance
• 20% for national performance
• 20% for global performance
• 40% for performance against selected special benchmarks (best
benchmark of the global scale
Above shares are illustrative only and the specific expectation or
priority of the university research management may decide which
aspect is more important for them
Multiplescalecomparisonforthesamesample
researcherinthefieldofcomputerscience
Above graph shows performance against, country, institutions, globe
and also identified best benchmark group which is G8 countries in this
example
Customindicatordefinedtoseerelativeperformanceagainst
benchmarksforthesamesampleindividual
Name Citations per Publication
Overall (Average over
years)
L. Akarun 6.5
Bogazici University 6.7
G8 6.7
Turkey 5.2
World 4.7
Relative CPP Performance of
the individual Benchmark
Overall (Average over years)
0,97
Against affiliated
inst.
0,97
Against selected
best
1,25 Against country (TR)
1,38 Against world
We have identified the relative citations per publications of the
researcher against benchmarks; so if we want to see the relative
performance of the researcher against her institutions then it is
individual performance divided by institutional performance. If the
result is equal to one then it is means equal performance; if bigger
than one than means better performance and if less than one then
it means worse performance. Performing 3 % less against inst. &
selected best but 25% better performance than country and 38%
better performance than the global scale
Conclusion
1) Qualitative data analysis for individuals is highly dependent
on benchmark scale selected; nevertheless, comparison study is
bounded with time interval and subject field/discipline selected
Conclusion
2) One can perform perfect on the local/regional scale but may
be performing poorer against selected best in class benchmarks,
therefore the evacuation body
Conclusion
3) There are several metrics/indicators available now so that you
can selected any of them which demonstrates more value against
expectations but it is always possible to take a side route and
customize a new one which may fit individual expectations better
and more transparent
Disclaimer: this presentation is focused on sharing some insights regarding
structuring a well balanced analysis related to research outputs especially on the
qualitative indicators of production but the original article that this presentation
is based on would discuss the topic more broadly with multiple aspects.
Thank you
T.Basal@elsevier.com
gultekingurdal@iyte.edu.tr

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Sunum qqml2014

  • 1. Results Oriented Research Performance Evaluation ’’Introducing Reliable and Efficient PerformanceIndicators in Academic World’’ Tayfun BASAL Regional Director , Elsevier – Turkey, Iran, ME & Central Asia Gultekin GURDAL Library Director, Izmir Institute of Technology QQML 2014. 6th International Conference on. Qualitative and Quantitative Methods in Libraries. 27 - 30 May 2014 Istanbul
  • 2. Conceptual expectations from scientific production on the national scale • Being scientifically competent • Strong obligation of having a information/knowledge based economy • Global qualification of research outputs • Using the potential of scientific research to foster innovation and economical growth Social & Economical Improvement of the Country
  • 3. Direct contribution of science to economy Economical Development Technology /Know How Scientific Production
  • 4. Everyone needs challenges to be better…
  • 5. Major Challenges • Academic grants system pressure on researchers to focus on quantitative production • Missing focus on the national scale to pay specific attention to research in universities (separating teaching & research focus) • Researchers are expected to run both teaching and research activities and nevertheless do administrative work as well which maintain less focus on research • Lack of enough funding to do more qualified research • Lack of tools to showcase success also does not support search for further funding opportunities • Lack of competitive benchmark mechanism lead by research governors create unfair competition between researchers • lack of enough PhD students
  • 6. Key steps to create a more competitive research environment • Strategic planning and support for capacity building • Enhancing infrastructure for research • Fundamental set up for higher education research world but customized plans on different needs of institutions • Better financial support and additional funding opportunities in benchmark to global leaders • Better compensation opportunities for innovative research projects and hence regulate relevant innovation frameworks • Provide alignment strategies and support initiatives to encourage better collaboration between corporates and academic world (benchmark from global success stories)
  • 7. How to integrate academic researchers into a new world? • Research administrators should define transparent, competitive and objective performance indicators to encourage research success • Demographic factors should taken into account while performance measurement frame work is being designed • Status relevant issues should be factored into evaluation analysis (additional workloads, subject/discipline related advantages/disadvantages, experience level) • Outputs on quantitative level combined with qualitative insights should be introduced in assessments to have a better understanding of the current performance; nevertheless, benchmark based tasks/targets should be introduced)
  • 8. Define priorities and measure success accordingly • Researchers should be informed in advance regarding different scale expectations and there should be a strong alignment between institutional management and researchers • Global, national, institutional priorities should be defined and relevant achievements should be incentivized as a result National science strategies Local competencies Global visibility and competition success
  • 9. Questions to answer before defining the frame work… • What is National Higher Education Research Agenda? • How can we address regional , national and institutional issues with a multilayered research policy approach? • What is the most efficient way of measuring innovative science and what are the most useful tools to offer in order to encourage scientists/institutions better? • How can we make the successful researchers, institutions and competitive fields more visible on the national & global scale?
  • 10. Must have or fundamental steps… • Maintaining researchers orientations or trainings at the • Providing required set of scientific reference data and solutions to researchers • Set up a successful institutional management system to observe and regulate process steps • Lead the way to facilitate funding flows into the institution
  • 11. What are the first steps of defining performance indicators? • Extend your assessment to find out institutional competencies and hence prioritize relevant subject areas, disciplines & contributing researchers • Set competitive benchmarks to leverage current performance; nevertheless, provide benchmark updates on a regular basis to catchup with competition and better understand global trends • Tailor efficient strategies to support increase of national and global visibility
  • 12. Limitations of the discussion and main topic • This study in particular focus on better evaluation of research outputs and hence we are not going to discuss the others that should be included within performance measurement system frame work as a whole such as demographic factors and status relevant concerns. It is believed that this may be another topic of discussion for an article from the field of sociology.
  • 13. A sample set of analysis & ideas to materialize thoughts • One of the biggest challenges while evaluating the research outputs is how to address the subject field or discipline related variations in between different researchers • Traditional ways of measuring quality and impact of science is not observed to be efficient/objective anymore • Several different researches and discussions around the topic agree that a merge of below would bring a better solution to the challenges Quantitative analysis Qualitative analysis Visibility/Impact analysis
  • 14. Some indicators to focus • Country specific indicators • Institution specific indicators • Department/project group specific indicators • Researcher specific indicators Ambition is not to re-invent the wheel ! Point is whom should be compared/benchmarked against whom and what should be the context and how should we select/define the indicators?
  • 15. Some global examples for performance indicators/metrics
  • 16. Each case has its own priorities… Therefore most relevant indicators/metrics can be aggregated from current pool, define new ones to fit requirements or readapted from current ones….this study would like to focus on more qualitative indicators and set benchmarks from Turkish case example and then try to redesign some new ones if necessary!.....
  • 17. Case study data analysis for Turkey
  • 18. Multiple layers of benchmarks • Global benchmarks • Regional (geography ) benchmarks • National benchmarks • Institutional benchmarks • Individual (researcher benchmarks)
  • 19. Selecting a sample metric to be used for benchmarks • Citations per publication ”CPP” (one of the snowball metrics and also widely agreed/perceived to be one of the important metrics for research performance measurements). CPP will be used as the sample metric in the following analysis of different benchmark scales
  • 20. Global benchmarks Turkey is underperforming against world benchmark but doing much better in comparison to Brics group
  • 21. Regional Benchmarks Turkey is underperforming against middle east and asia pacific but closing the gap with 2 regions in the last 6-7 years
  • 22. Institutionalbenchmarks(Mostproductive2 Turkishinstitutionsare selectedas case examples;Istanbul& Hacettepe) Both universities are performing better than Turkey and their individual performance is very close to each other
  • 23. Individual(researcher)benchmarksin a certain selectedarea(L.Akarun, computerscience) Selected researcher is performing much better than Turkey in the field of computer science but having a parallel performance in comparison to her performance against her university where she is affiliated.
  • 24. Some findings & proposals • The benchmark that is selected to measure and individual performance is highly dependent on the benchmark scale that evaluation is performed. For example total score for the individual with respect to citations per publication may be defined as; • 20% for institutional performance • 20% for national performance • 20% for global performance • 40% for performance against selected special benchmarks (best benchmark of the global scale Above shares are illustrative only and the specific expectation or priority of the university research management may decide which aspect is more important for them
  • 25. Multiplescalecomparisonforthesamesample researcherinthefieldofcomputerscience Above graph shows performance against, country, institutions, globe and also identified best benchmark group which is G8 countries in this example
  • 26. Customindicatordefinedtoseerelativeperformanceagainst benchmarksforthesamesampleindividual Name Citations per Publication Overall (Average over years) L. Akarun 6.5 Bogazici University 6.7 G8 6.7 Turkey 5.2 World 4.7 Relative CPP Performance of the individual Benchmark Overall (Average over years) 0,97 Against affiliated inst. 0,97 Against selected best 1,25 Against country (TR) 1,38 Against world We have identified the relative citations per publications of the researcher against benchmarks; so if we want to see the relative performance of the researcher against her institutions then it is individual performance divided by institutional performance. If the result is equal to one then it is means equal performance; if bigger than one than means better performance and if less than one then it means worse performance. Performing 3 % less against inst. & selected best but 25% better performance than country and 38% better performance than the global scale
  • 27. Conclusion 1) Qualitative data analysis for individuals is highly dependent on benchmark scale selected; nevertheless, comparison study is bounded with time interval and subject field/discipline selected
  • 28. Conclusion 2) One can perform perfect on the local/regional scale but may be performing poorer against selected best in class benchmarks, therefore the evacuation body
  • 29. Conclusion 3) There are several metrics/indicators available now so that you can selected any of them which demonstrates more value against expectations but it is always possible to take a side route and customize a new one which may fit individual expectations better and more transparent
  • 30. Disclaimer: this presentation is focused on sharing some insights regarding structuring a well balanced analysis related to research outputs especially on the qualitative indicators of production but the original article that this presentation is based on would discuss the topic more broadly with multiple aspects.