From monocausality to systems thinking: a complementary and alternative conceptual approach for better understanding the development and prevention of sports injury
- Hulme, Adam, Finch, Caroline
- Authors: Hulme, Adam , Finch, Caroline
- Date: 2015
- Type: Text , Journal article , Review
- Relation: Injury Epidemiology Vol. 2, no. 1 (2015), p. 1-12
- Relation: http://purl.org/au-research/grants/nhmrc/1058737
- Full Text:
- Reviewed:
- Description: The science of sports injury control, including both its cause and prevention, has largely been informed by a biomedical and mechanistic model of health. Traditional scientific practice in sports injury research has routinely involved collapsing the broader socioecological landscape down in order to analyse individual-level determinants of injury - whether biomechanical and/or behavioural. This approach has made key gains for sports injury prevention research and should be further encouraged and allowed to evolve naturally. However, the public health, Applied Human Factors and Ergonomics, and injury epidemiological literature more broadly, has accepted the value of a socioecological paradigm for better understanding disease and injury processes, and sports injury research will fall further behind unless it does the same. A complementary and alternative conceptual approach towards injury control known as systems thinking that builds on socioecological science, both methodologically and analytically, is readily available and fast developing in other research areas. This review outlines the historical progression of causal concepts in the field of epidemiology over the course of the modern scientific era. From here, causal concepts in injury epidemiology, and models of aetiology as found in the context of sports injury research are presented. The paper finishes by proposing a new research agenda that considers the potential for a systems thinking approach to further enhance sports injury aetiological understanding. A complementary systems paradigm, however, will require that sports injury epidemiologists bring their knowledge and skillsets forwards in an attempt to use, adapt, and even refine existing systems-based approaches. Alongside the natural development of conventional scientific methodologies and analyses in sports injury research, progressing forwards to a systems paradigm is now required. © 2015, Hulme and Finch.
- Authors: Hulme, Adam , Finch, Caroline
- Date: 2015
- Type: Text , Journal article , Review
- Relation: Injury Epidemiology Vol. 2, no. 1 (2015), p. 1-12
- Relation: http://purl.org/au-research/grants/nhmrc/1058737
- Full Text:
- Reviewed:
- Description: The science of sports injury control, including both its cause and prevention, has largely been informed by a biomedical and mechanistic model of health. Traditional scientific practice in sports injury research has routinely involved collapsing the broader socioecological landscape down in order to analyse individual-level determinants of injury - whether biomechanical and/or behavioural. This approach has made key gains for sports injury prevention research and should be further encouraged and allowed to evolve naturally. However, the public health, Applied Human Factors and Ergonomics, and injury epidemiological literature more broadly, has accepted the value of a socioecological paradigm for better understanding disease and injury processes, and sports injury research will fall further behind unless it does the same. A complementary and alternative conceptual approach towards injury control known as systems thinking that builds on socioecological science, both methodologically and analytically, is readily available and fast developing in other research areas. This review outlines the historical progression of causal concepts in the field of epidemiology over the course of the modern scientific era. From here, causal concepts in injury epidemiology, and models of aetiology as found in the context of sports injury research are presented. The paper finishes by proposing a new research agenda that considers the potential for a systems thinking approach to further enhance sports injury aetiological understanding. A complementary systems paradigm, however, will require that sports injury epidemiologists bring their knowledge and skillsets forwards in an attempt to use, adapt, and even refine existing systems-based approaches. Alongside the natural development of conventional scientific methodologies and analyses in sports injury research, progressing forwards to a systems paradigm is now required. © 2015, Hulme and Finch.
The conceptual schema in geospatial data standard design with application to GroundWaterML2
- Brodaric, Boyan, Boisvert, Eric, Dahlhaus, Peter, Grellet, Sylvain, Kmoch, Alexander, Letourneau, Francois, Lucido, Jessica, Simons, Bruce, Wagner, Bernhard
- Authors: Brodaric, Boyan , Boisvert, Eric , Dahlhaus, Peter , Grellet, Sylvain , Kmoch, Alexander , Letourneau, Francois , Lucido, Jessica , Simons, Bruce , Wagner, Bernhard
- Date: 2018
- Type: Text , Journal article
- Relation: Open Geospatial Data, Software and Standards Vol. 3, no. 1 (2018), p. 1-15
- Full Text:
- Reviewed:
- Description: The explosive growth of geospatial data has stimulated the development of many standards aimed at decreasing data heterogeneity and enhancing data use. Well-established design methods for geospatial data standards typically involve the creation of two schemas for data structure, designated here as logical and physical, but this can lead to conceptual inconsistencies and modelling inefficiencies. In this paper we describe a design method that overcomes these issues by incorporating an additional schema – the conceptual schema – and demonstrate its application to the design of GroundWaterML2 (GWML2), a new international standard for groundwater data. Results include not only a new data standard, robustly constructed and tested, but also an enhanced method for geospatial data standard design.
- Authors: Brodaric, Boyan , Boisvert, Eric , Dahlhaus, Peter , Grellet, Sylvain , Kmoch, Alexander , Letourneau, Francois , Lucido, Jessica , Simons, Bruce , Wagner, Bernhard
- Date: 2018
- Type: Text , Journal article
- Relation: Open Geospatial Data, Software and Standards Vol. 3, no. 1 (2018), p. 1-15
- Full Text:
- Reviewed:
- Description: The explosive growth of geospatial data has stimulated the development of many standards aimed at decreasing data heterogeneity and enhancing data use. Well-established design methods for geospatial data standards typically involve the creation of two schemas for data structure, designated here as logical and physical, but this can lead to conceptual inconsistencies and modelling inefficiencies. In this paper we describe a design method that overcomes these issues by incorporating an additional schema – the conceptual schema – and demonstrate its application to the design of GroundWaterML2 (GWML2), a new international standard for groundwater data. Results include not only a new data standard, robustly constructed and tested, but also an enhanced method for geospatial data standard design.
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