Literature DB >> 28137644

Measuring the effectiveness and impact of an open innovation platform.

Glenn P Carroll1, Sanjay Srivastava2, Adam S Volini2, Marta M Piñeiro-Núñez3, Tatiana Vetman4.   

Abstract

Today, most pharmaceutical companies complement their traditional R&D models with some variation on the Open Innovation (OI) approach in an effort to better access global scientific talent, ideas and hypotheses. Traditional performance indicators that measure economic returns from R&D through commercialization are often not applicable to the practical assessment of these OI approaches, particularly within the context of early drug discovery. This leaves OI programs focused on early R&D without a standard assessment framework from which to evaluate overall performance. This paper proposes a practical dashboard for such assessment, encompassing quantitative and qualitative elements, to enable decision-making and improvement of future performance. The use of this dashboard is illustrated using real-time data from the Lilly Open Innovation Drug Discovery (OIDD) program.
Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Mesh:

Year:  2017        PMID: 28137644     DOI: 10.1016/j.drudis.2017.01.009

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  3 in total

Review 1.  Automating drug discovery.

Authors:  Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2017-12-15       Impact factor: 84.694

Review 2.  Powered by Open Innovation: Opportunities and Challenges in the Pharma Sector.

Authors:  Maria Angeles Martinez-Grau; Maria Alvim-Gaston
Journal:  Pharmaceut Med       Date:  2019-06

Review 3.  Crowdsourcing and open innovation in drug discovery: recent contributions and future directions.

Authors:  David C Thompson; Jörg Bentzien
Journal:  Drug Discov Today       Date:  2020-10-02       Impact factor: 7.851

  3 in total

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