Big data and data repurposing – using existing data to answer new questions in vascular dementia research

Fergus N. Doubal, Myzoon Ali, G. David Batty, Andreas Charidimou , Maria Eriksdotter , Martin Hofmann-Apitius , Yun Hee Kim, Deborah A. Levine, Gillian Mead, Herman A. M. Mucke , Craig W. Ritchie, Charlotte J. Roberts, Tom C. Russ, Robert Stewart, William Whiteley, Terrence J. Quinn

Research output: Contribution to journalArticle

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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, 16-18th 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.
Original languageEnglish
Article number72
Number of pages10
JournalBMC Neurology
Volume17
DOIs
Publication statusPublished - 17 Apr 2017

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Vascular Dementia
Research
Electronic Health Records
Referral and Consultation
Learning
Costs and Cost Analysis
Datasets

Keywords

  • big data
  • clinical trials
  • cohort studies
  • dementia
  • electronic health records
  • registries

Cite this

Doubal, F. N., Ali, M., Batty, G. D., Charidimou , A., Eriksdotter , M., Hofmann-Apitius , M., ... Quinn, T. J. (2017). Big data and data repurposing – using existing data to answer new questions in vascular dementia research. BMC Neurology, 17, [72]. https://doi.org/10.1186/s12883-017-0841-2
Doubal, Fergus N. ; Ali, Myzoon ; Batty, G. David ; Charidimou , Andreas ; Eriksdotter , Maria ; Hofmann-Apitius , Martin ; Kim, Yun Hee ; Levine, Deborah A. ; Mead, Gillian ; Mucke , Herman A. M. ; Ritchie, Craig W. ; Roberts, Charlotte J. ; Russ, Tom C. ; Stewart, Robert ; Whiteley, William ; Quinn, Terrence J. / Big data and data repurposing – using existing data to answer new questions in vascular dementia research. In: BMC Neurology. 2017 ; Vol. 17.
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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, 16-18th 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.",
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Doubal, FN, Ali, M, Batty, GD, Charidimou , A, Eriksdotter , M, Hofmann-Apitius , M, Kim, YH, Levine, DA, Mead, G, Mucke , HAM, Ritchie, CW, Roberts, CJ, Russ, TC, Stewart, R, Whiteley, W & Quinn, TJ 2017, 'Big data and data repurposing – using existing data to answer new questions in vascular dementia research', BMC Neurology, vol. 17, 72. https://doi.org/10.1186/s12883-017-0841-2

Big data and data repurposing – using existing data to answer new questions in vascular dementia research. / Doubal, Fergus N.; Ali, Myzoon; Batty, G. David; Charidimou , Andreas; Eriksdotter , Maria; Hofmann-Apitius , Martin; Kim, Yun Hee; Levine, Deborah A.; Mead, Gillian; Mucke , Herman A. M.; Ritchie, Craig W.; Roberts, Charlotte J.; Russ, Tom C.; Stewart, Robert; Whiteley, William ; Quinn, Terrence J.

In: BMC Neurology, Vol. 17, 72, 17.04.2017.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Big data and data repurposing – using existing data to answer new questions in vascular dementia research

AU - Doubal, Fergus N.

AU - Ali, Myzoon

AU - Batty, G. David

AU - Charidimou , Andreas

AU - Eriksdotter , Maria

AU - Hofmann-Apitius , Martin

AU - Kim, Yun Hee

AU - Levine, Deborah A.

AU - Mead, Gillian

AU - Mucke , Herman A. M.

AU - Ritchie, Craig W.

AU - Roberts, Charlotte J.

AU - Russ, Tom C.

AU - Stewart, Robert

AU - Whiteley, William

AU - Quinn, Terrence J.

N1 - Acceptance from webpage OA article

PY - 2017/4/17

Y1 - 2017/4/17

N2 - 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, 16-18th 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.

AB - 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, 16-18th 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.

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KW - clinical trials

KW - cohort studies

KW - dementia

KW - electronic health records

KW - registries

U2 - 10.1186/s12883-017-0841-2

DO - 10.1186/s12883-017-0841-2

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JO - BMC Neurology

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ER -