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Impact oriented monitoring: A new methodology for monitoring and evaluation of international public health research projects

Author

Listed:
  • J. Guinea
  • E. Sela
  • A. J. Gómez-Núñez
  • T. Mangwende
  • A. Ambali
  • N. Ngum
  • H. Jaramillo
  • J. M. Gallego
  • A. Patiño
  • C. Latorre
  • S. Srivanichakorn
  • B. Thepthien

Abstract

Impact oriented monitoring (IOM) is a novel methodology for identifying and assessing the impacts of EU-funded research projects in the area of International Public Health. A framework based on the logic and payback categories is used to categorize, into multi-dimensions, the impacts produced by public health research projects. A set of tools, including: 1) a project results framework; 2) a coordinators’ survey; 3) an end users’ survey, and 4) an assessment tool (scoring matrix), have been developed for both collecting data on results and activities and helping in assessing impacts. The need to know the impact of the projects based on robust data but, at the same time, to minimize the time and resources required of both the EC officers implementing the methodology and the project coordinators providing data on results and impacts, has led to the development of the IOM methodology. The methodology is expected to provide the DG Research and Innovation of the European Commission (EC) with usable information on how the research projects in the area of international public health are producing impacts. More importantly, this information could improve the performance of existing programmes and also form the basis for supporting research policy planning. The IOM methodology can be easily adapted to other EC-funded research areas and also implemented in other countries by institutions responsible for funding research activities.

Suggested Citation

  • J. Guinea & E. Sela & A. J. Gómez-Núñez & T. Mangwende & A. Ambali & N. Ngum & H. Jaramillo & J. M. Gallego & A. Patiño & C. Latorre & S. Srivanichakorn & B. Thepthien, 2015. "Impact oriented monitoring: A new methodology for monitoring and evaluation of international public health research projects," Research Evaluation, Oxford University Press, vol. 24(2), pages 131-145.
    • Handle: RePEc:oup:rseval:v:24:y:2015:i:2:p:131-145.
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    References listed on IDEAS

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    1. Teresa Penfield & Matthew J. Baker & Rosa Scoble & Michael C. Wykes, 2013. "Assessment, evaluations, and definitions of research impact: A review," Research Evaluation, Oxford University Press, vol. 23(1), pages 21-32, October.
    2. William E. Souder, 1972. "A Scoring Methodology for Assessing the Suitability of Management Science Models," Management Science, INFORMS, vol. 18(10), pages 526-543, June.
    3. Czarnitzki, Dirk & Lopes-Bento, Cindy, 2013. "Value for money? New microeconometric evidence on public R&D grants in Flanders," Research Policy, Elsevier, vol. 42(1), pages 76-89.
    4. Steve Hanney & Andrew Davies & Martin Buxton, 1999. "Assessing benefits from health research projects: can we use questionnaires instead of case studies?," Research Evaluation, Oxford University Press, vol. 8(3), pages 189-199, December.
    5. Erik Millstone & Patrick Van Zwanenberg & Fiona Marshall, 2010. "Monitoring and Evaluating Agricultural Science and Technology Projects: Theories, Practices and Problems," IDS Bulletin, Blackwell Publishing, vol. 41(6), pages 75-87, November.
    6. Georghiou, Luke & Roessner, David, 2000. "Evaluating technology programs: tools and methods," Research Policy, Elsevier, vol. 29(4-5), pages 657-678, April.
    7. Albert N. Link & Nicholas S. Vonortas (ed.), 2013. "Handbook on the Theory and Practice of Program Evaluation," Books, Edward Elgar Publishing, number 14384.
    8. Gilbert Fayl & Yves Dumont & Luc Durieux & Isidoros Karatzas & Liam O'Sullivan, 1998. "Evaluation of research and technological development programmes: a tool for policy design," Research Evaluation, Oxford University Press, vol. 7(2), pages 93-97, August.
    9. Luukkonen, Terttu, 1998. "The difficulties in assessing the impact of EU framework programmes," Research Policy, Elsevier, vol. 27(6), pages 599-610, September.
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    1. Parreiras, R.O. & Kokshenev, I. & Carvalho, M.O.M. & Willer, A.C.M. & Dellezzopolles, C.F. & Nacif, D.B. & Santana, J.A., 2019. "A flexible multicriteria decision-making methodology to support the strategic management of Science, Technology and Innovation research funding programs," European Journal of Operational Research, Elsevier, vol. 272(2), pages 725-739.
    2. Matteo Pedrini & Valentina Langella & Mario Alberto Battaglia & Paola Zaratin, 2018. "Assessing the health research’s social impact: a systematic review," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1227-1250, March.

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