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van der Waal MB, Dos S Ribeiro C, Ma M, Haringhuizen GB, Claassen E, van de Burgwal LHM. Blockchain-facilitated sharing to advance outbreak R&D. Science 2020; 368:719-721. [PMID: 32409465 DOI: 10.1126/science.aba1355] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Affiliation(s)
- Mark B van der Waal
- Vrije Universiteit Amsterdam, Athena Institute for Research on Innovation and Communication in Health and Life Sciences, Amsterdam, Netherlands. .,Triall Foundation, Maarssen, Netherlands
| | - Carolina Dos S Ribeiro
- Vrije Universiteit Amsterdam, Athena Institute for Research on Innovation and Communication in Health and Life Sciences, Amsterdam, Netherlands.,The Netherlands National Institute for Public Health and the Environment (RIVM), Center for Infectious Disease Control, Bilthoven, Netherlands
| | | | - George B Haringhuizen
- The Netherlands National Institute for Public Health and the Environment (RIVM), Center for Infectious Disease Control, Bilthoven, Netherlands
| | - Eric Claassen
- Vrije Universiteit Amsterdam, Athena Institute for Research on Innovation and Communication in Health and Life Sciences, Amsterdam, Netherlands
| | - Linda H M van de Burgwal
- Vrije Universiteit Amsterdam, Athena Institute for Research on Innovation and Communication in Health and Life Sciences, Amsterdam, Netherlands.,Triall Foundation, Maarssen, Netherlands
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Amid C, Pakseresht N, Silvester N, Jayathilaka S, Lund O, Dynovski LD, Pataki BÁ, Visontai D, Xavier BB, Alako BTF, Belka A, Cisneros JLB, Cotten M, Haringhuizen GB, Harrison PW, Höper D, Holt S, Hundahl C, Hussein A, Kaas RS, Liu X, Leinonen R, Malhotra-Kumar S, Nieuwenhuijse DF, Rahman N, dos S Ribeiro C, Skiby JE, Schmitz D, Stéger J, Szalai-Gindl JM, Thomsen MCF, Cacciò SM, Csabai I, Kroneman A, Koopmans M, Aarestrup F, Cochrane G. The COMPARE Data Hubs. Database (Oxford) 2019; 2019:baz136. [PMID: 31868882 PMCID: PMC6927095 DOI: 10.1093/database/baz136] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 11/06/2019] [Accepted: 11/07/2019] [Indexed: 11/12/2022]
Abstract
Data sharing enables research communities to exchange findings and build upon the knowledge that arises from their discoveries. Areas of public and animal health as well as food safety would benefit from rapid data sharing when it comes to emergencies. However, ethical, regulatory and institutional challenges, as well as lack of suitable platforms which provide an infrastructure for data sharing in structured formats, often lead to data not being shared or at most shared in form of supplementary materials in journal publications. Here, we describe an informatics platform that includes workflows for structured data storage, managing and pre-publication sharing of pathogen sequencing data and its analysis interpretations with relevant stakeholders.
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Affiliation(s)
- Clara Amid
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Nima Pakseresht
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Nicole Silvester
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Suran Jayathilaka
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Ole Lund
- Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby 2800, Denmark
| | - Lukasz D Dynovski
- Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby 2800, Denmark
| | - Bálint Á Pataki
- Department of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest 1117, Hungary
- Department of Computational Sciences, Wigner Research Centre for Physics of the HAS, Budapest 1121, Hungary
| | - Dávid Visontai
- Department of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest 1117, Hungary
- Department of Computational Sciences, Wigner Research Centre for Physics of the HAS, Budapest 1121, Hungary
| | - Basil Britto Xavier
- Laboratory of Medical Microbiology, Vaccine and Infectious Disease Institute, University of Antwerp, Wilrijk 2610, Belgium
| | - Blaise T F Alako
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Ariane Belka
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Greifswald 17493, Germany
| | - Jose L B Cisneros
- Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby 2800, Denmark
| | - Matthew Cotten
- Department of Viroscience, Erasmus Medical Center, Rotterdam 3015, Netherlands
| | - George B Haringhuizen
- National Institute for Public Health and the Environment (RIVM), Bilthoven 3720, The Netherlands
| | - Peter W Harrison
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Dirk Höper
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Greifswald 17493, Germany
| | - Sam Holt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Camilla Hundahl
- Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby 2800, Denmark
| | - Abdulrahman Hussein
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Rolf S Kaas
- Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby 2800, Denmark
| | - Xin Liu
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Rasko Leinonen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Surbhi Malhotra-Kumar
- Laboratory of Medical Microbiology, Vaccine and Infectious Disease Institute, University of Antwerp, Wilrijk 2610, Belgium
| | | | - Nadim Rahman
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Carolina dos S Ribeiro
- National Institute for Public Health and the Environment (RIVM), Bilthoven 3720, The Netherlands
| | - Jeffrey E Skiby
- Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby 2800, Denmark
| | - Dennis Schmitz
- Department of Viroscience, Erasmus Medical Center, Rotterdam 3015, Netherlands
- National Institute for Public Health and the Environment (RIVM), Bilthoven 3720, The Netherlands
| | - József Stéger
- Department of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest 1117, Hungary
- Department of Computational Sciences, Wigner Research Centre for Physics of the HAS, Budapest 1121, Hungary
| | - János M Szalai-Gindl
- Department of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest 1117, Hungary
- Department of Computational Sciences, Wigner Research Centre for Physics of the HAS, Budapest 1121, Hungary
| | - Martin C F Thomsen
- Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby 2800, Denmark
| | - Simone M Cacciò
- European Union Reference Laboratory for Parasites, Istituto Superiore di Sanità (ISS), Rome 00161, Italy
| | - István Csabai
- Department of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest 1117, Hungary
- Department of Computational Sciences, Wigner Research Centre for Physics of the HAS, Budapest 1121, Hungary
| | - Annelies Kroneman
- National Institute for Public Health and the Environment (RIVM), Bilthoven 3720, The Netherlands
| | - Marion Koopmans
- Department of Viroscience, Erasmus Medical Center, Rotterdam 3015, Netherlands
| | - Frank Aarestrup
- Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby 2800, Denmark
| | - Guy Cochrane
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
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Ribeiro CDS, van Roode MY, Haringhuizen GB, Koopmans MP, Claassen E, van de Burgwal LHM. How ownership rights over microorganisms affect infectious disease control and innovation: A root-cause analysis of barriers to data sharing as experienced by key stakeholders. PLoS One 2018; 13:e0195885. [PMID: 29718947 PMCID: PMC5931471 DOI: 10.1371/journal.pone.0195885] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Accepted: 03/30/2018] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Genetic information of pathogens is an essential input for infectious disease control, public health and for research. Efficiency in preventing and responding to global outbreaks relies on timely access to such information. Still, ownership barriers stand in the way of timely sharing of genetic data from pathogens, frustrating efficient public health responses and ultimately the potential use of such resources in innovations. Under a One Health approach, stakeholders, their interests and ownership issues are manifold and need to be investigated. We interviewed key actors from governmental and non-governmental bodies to identify overlapping and conflicting interests, and the overall challenges for sharing pathogen data, to provide essential inputs to the further development of political and practical strategies for improved data sharing practices. METHODS & FINDINGS To identify and prioritize barriers, 52 Key Opinion Leaders were interviewed. A root-cause analysis was performed to identify causal relations between barriers. Finally, barriers were mapped to the innovation cycle reflecting how they affect the range of surveillance, innovation, and sharing activities. Four main barrier categories were found: compliance to regulations, negative consequences, self-interest, and insufficient incentives for compliance. When grouped in sectors (research institutes, public health organizations, supra-national organizations and industry) stakeholders appear to have similar interests, more than when grouped in domains (human, veterinary and food). Considering the innovation process, most of barriers could be mapped to the initial stages of the innovation cycle as sampling and sequencing phases. These are stages of primary importance to outbreak control and public health response. A minority of barriers applied to later stages in the innovation cycle, which are of more importance to product development. CONCLUSION Overall, barriers are complex and entangled, due to the diversity of causal factors and their crosscutting features. Therefore, barriers must be addressed in a comprehensive and integrated manner. Stakeholders have different interests highlighting the diversity in motivations for sharing pathogen data: prioritization of public health, basic research, economic welfare and/or innovative capacity. Broad inter-sectorial discussions should start with the alignment of these interests within sectors. The improved sharing of pathogen data, especially in upstream phases of the innovation process, will generate substantial public health benefits through increased availability of data to inform surveillance systems, as well as to allow the (re-)use of data for the development of medical countermeasures to control infectious diseases.
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Affiliation(s)
- Carolina dos S. Ribeiro
- Center for infectious Disease Control, The Netherlands National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | | | - George B. Haringhuizen
- Center for infectious Disease Control, The Netherlands National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Marion P. Koopmans
- Department of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands
| | - Eric Claassen
- Athena Institute for Research on Innovation and Communication in Health and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Linda H. M. van de Burgwal
- Athena Institute for Research on Innovation and Communication in Health and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Artemis One Health Research Foundation, Delft, Netherlands
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Bijkerk P, Fanoy EB, Kardamanidis K, van der Plas SM, te Wierik MJ, Kretzschmar ME, Haringhuizen GB, van Vliet HJ, van der Sande MA. To notify or not to notify: decision aid for policy makers on whether to make an infectious disease mandatorily notifiable. Euro Surveill 2015; 20:30003. [DOI: 10.2807/1560-7917.es.2015.20.34.30003] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Accepted: 04/26/2015] [Indexed: 11/20/2022] Open
Abstract
Mandatory notification can be a useful tool to support infectious disease prevention and control. Guidelines are needed to help policymakers decide whether mandatory notification of an infectious disease is appropriate. We developed a decision aid, based on a range of criteria previously used in the Netherlands or in other regions to help decide whether to make a disease notifiable. Criteria were categorised as being effective, feasible and necessary with regard to the relevance of mandatory notification. Expert panels piloted the decision aid. Here we illustrate its use for three diseases (Vibrio vulnificus infection, chronic Q fever and dengue fever) for which mandatory notification was requested. For dengue fever, the expert panel advised mandatory notification; for V. vulnificus infection and chronic Q fever, the expert panel concluded that mandatory notification was not (yet) justified. Use of the decision aid led to a structured, transparent decision making process and a thorough assessment of the advantages and disadvantages of mandatory notification of these diseases. It also helped identify knowledge gaps that required further research before a decision could be made. We therefore recommend use of this aid for public health policy making.
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Affiliation(s)
- Paul Bijkerk
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
- These authors contributed equally to the manuscript
| | - Ewout B. Fanoy
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
- These authors contributed equally to the manuscript
- Public Health Service, GGD region Utrecht, Zeist, the Netherlands
- European Programme for Intervention Epidemiology Training, European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | - Katina Kardamanidis
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | | | - Margreet J. te Wierik
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
- Public Health Service, GGD region Utrecht, Zeist, the Netherlands
| | - Mirjam E. Kretzschmar
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
- Julius Center, Utrecht University, Utrecht, the Netherlands
| | | | - Hans J. van Vliet
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Marianne A. van der Sande
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
- Julius Center, Utrecht University, Utrecht, the Netherlands
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