학술논문
Big data and data repurposing - using existing data to answer new questions in vascular dementia research.
Document Type
Academic Journal
Author
Doubal FN; Stroke Association Garfield Weston Foundation Clinical Senior Lecturer, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK. Fergus.doubal@ed.ac.uk.; Ali M; VISTA and VICCTA Coordinator, Institutes of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.; Batty GD; Reader in Epidemiology, Department of Epidemiology & Public Health, University College London, London, UK.; Charidimou A; J Philip Kistler Stroke Research Centre, Department of neurology, Massachusetts General Hospital Stroke Research Centre, Harvard medical School, Boston, MA, USA.; Eriksdotter M; Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and department of Geriatric Medicine, Karolinska university hospital, Stockholm, Sweden.; Hofmann-Apitius M; Chair and Head of Department, Fraunhofer Institute for Algorithms and Scientific Computing, Schloss Birlinghoven, Sankt Augustin, Germany.; Kim YH; Department of Physical and Rehabilitation Medicine, Centre for Prevention and Rehabilitation, Heart Vascular and Stroke Institute, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.; Levine DA; Department of Internal Medicine, University of Michigan and the VA Ann Arbor Healthcare System, Ann Arbor, MI, USA.; Mead G; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.; Mucke HAM; Life Sciences Consultant, H.M. Pharma Consultancy, Wien, Austria.; Ritchie CW; Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK.; Roberts CJ; ICHOM International Consortium for Health Outcomes Measurement, Hamilton House, Mabledon Place, London, WC1H 9BB, UK.; Russ TC; Marjorie MacBeath Intermediate Clinical Fellow, Alzheimer Scotland Dementia Research Centre, & Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK.; Stewart R; King's College London (Institute of Psychiatry, Psychology and Neuroscience), South London and Maudsley NHS Foundation Trust, London, UK.; Whiteley W; MRC Clinician Scientist and Honorary Consultant Neurologist, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.; Quinn TJ; Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Source
Publisher: BioMed Central Country of Publication: England NLM ID: 100968555 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2377 (Electronic) Linking ISSN: 14712377 NLM ISO Abbreviation: BMC Neurol Subsets: MEDLINE
Subject
Language
English
Abstract
Introduction: Traditional approaches to clinical research have, as yet, failed to provide effective treatments for vascular dementia (VaD). Novel approaches to collation and synthesis of data may allow for time and cost efficient hypothesis generating and testing. These approaches may have particular utility in helping us understand and treat a complex condition such as VaD.
Methods: We present an overview of new uses for existing data to progress VaD research. The overview is the result of consultation with various stakeholders, focused literature review and learning from the group's experience of successful approaches to data repurposing. In particular, we benefitted from the expert discussion and input of delegates at the 9th International Congress on Vascular Dementia (Ljubljana, 16-18 th October 2015).
Results: We agreed on key areas that could be of relevance to VaD research: systematic review of existing studies; individual patient level analyses of existing trials and cohorts and linking electronic health record data to other datasets. We illustrated each theme with a case-study of an existing project that has utilised this approach.
Conclusions: There are many opportunities for the VaD research community to make better use of existing data. The volume of potentially available data is increasing and the opportunities for using these resources to progress the VaD research agenda are exciting. Of course, these approaches come with inherent limitations and biases, as bigger datasets are not necessarily better datasets and maintaining rigour and critical analysis will be key to optimising data use.
Methods: We present an overview of new uses for existing data to progress VaD research. The overview is the result of consultation with various stakeholders, focused literature review and learning from the group's experience of successful approaches to data repurposing. In particular, we benefitted from the expert discussion and input of delegates at the 9
Results: We agreed on key areas that could be of relevance to VaD research: systematic review of existing studies; individual patient level analyses of existing trials and cohorts and linking electronic health record data to other datasets. We illustrated each theme with a case-study of an existing project that has utilised this approach.
Conclusions: There are many opportunities for the VaD research community to make better use of existing data. The volume of potentially available data is increasing and the opportunities for using these resources to progress the VaD research agenda are exciting. Of course, these approaches come with inherent limitations and biases, as bigger datasets are not necessarily better datasets and maintaining rigour and critical analysis will be key to optimising data use.