Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2021Realising the full potential of data-enabled trials in the UK38citations
  • 2012Types of urethral catheter for reducing symptomatic urinary tract infections in hospitalised adults requiring short-term catheterisation97citations

Places of action

Chart of shared publication
Pickard, R.
1 / 1 shared
Glazener, C. M. A.
1 / 1 shared
Burr, J.
1 / 1 shared
Boachie, C.
1 / 1 shared
Walton, K.
1 / 1 shared
Vale, L.
1 / 1 shared
Buckley, B.
1 / 1 shared
Mcdonald, A.
1 / 2 shared
Ndow, James
1 / 2 shared
Lam, T.
1 / 3 shared
Gillies, Kate
1 / 2 shared
Grant, A. M.
1 / 1 shared
Starr, K.
1 / 1 shared
Maclennan, Graeme
1 / 3 shared
Mcpherson, G.
1 / 1 shared
Kilonzo, Mary
1 / 2 shared
Chart of publication period
2021
2012

Co-Authors (by relevance)

  • Pickard, R.
  • Glazener, C. M. A.
  • Burr, J.
  • Boachie, C.
  • Walton, K.
  • Vale, L.
  • Buckley, B.
  • Mcdonald, A.
  • Ndow, James
  • Lam, T.
  • Gillies, Kate
  • Grant, A. M.
  • Starr, K.
  • Maclennan, Graeme
  • Mcpherson, G.
  • Kilonzo, Mary
OrganizationsLocationPeople

article

Realising the full potential of data-enabled trials in the UK

  • Logue, Jennifer
  • Gulliford, M. C.
  • Walker, P.
  • Rycroft-Malone, Jo
  • Williamson, P. R.
  • Williams, H. C.
  • Quint, J. K.
  • Farmer, A.
  • Norrie, J.
  • Gibson, M.
  • Sydes, M. R.
  • Sullivan, F.
  • Morris, A.
  • Sheffield, J.
  • Bowman, L.
  • Harrison, D. A.
  • Navaie, W.
  • Wilding, J.
  • Hewitt, C.
  • Tizzard, J.
  • Denwood, T.
  • Walker, R. R.
  • Garfield-Birkbeck, S.
  • Okane, M.
  • Landray, M.
  • Barbachano, Y.
  • Smeeth, L.
  • Valentine, J.
Abstract

Rationale Clinical trials are the gold standard for testing interventions. COVID-19 has further raised their public profile and emphasised the need to deliver better, faster, more efficient trials for patient benefit. Considerable overlap exists between data required for trials and data already collected routinely in electronic healthcare records (EHRs). Opportunities exist to use these in innovative ways to decrease duplication of effort and speed trial recruitment, conduct and follow-up. Approach The National Institute of Health Research (NIHR), Health Data Research UK and Clinical Practice Research Datalink co-organised a national workshop to accelerate the agenda for data-enabled clinical trials'. Showcasing successful examples and imagining future possibilities, the plenary talks, panel discussions, group discussions and case studies covered: design/feasibility; recruitment; conduct/follow-up; collecting benefits/harms; and analysis/interpretation. Reflection Some notable studies have successfully accessed and used EHR to identify potential recruits, support randomised trials, deliver interventions and supplement/replace trial-specific follow-up. Some outcome measures are already reliably collected; others, like safety, need detailed work to meet regulatory reporting requirements. There is a clear need for system interoperability and a route map' to identify and access the necessary datasets. Researchers running regulatory-facing trials must carefully consider how data quality and integrity would be assessed. An experience-sharing forum could stimulate wider adoption of EHR-based methods in trial design and execution. Discussion EHR offer opportunities to better plan clinical trials, assess patients and capture data more efficiently, reducing research waste and increasing focus on each trial's specific challenges. The short-term emphasis should be on facilitating patient recruitment and for postmarketing authorisation trials where research-relevant outcome measures are readily collectable. Sharing of case studies is encouraged. The workshop directly informed NIHR's funding call for ambitious data-enabled trials at scale. There is the opportunity for the UK to build upon existing data science capabilities to identify, recruit and monitor patients in trials at scale.

Topics
  • impedance spectroscopy
  • gold
  • informatics