Evidence map›Paper›PMID 31409798›Full record

ArticleScientific data2019

PlatformTM, a standards-based data custodianship platform for translational medicine research.

Ibrahim Emam, Vahid Elyasigomari, Alex Matthews, Stelios Pavlidis, Philippe Rocca-Serra, Florian Guitton, Denny Verbeeck, Lucinda Grainger, Erica Borgogni, Giuseppe Del Giudice and 3 more

Abstract read
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Ibrahim EmamData Science Institute, Imperial College London, London, UK. i.emam@imperial.ac.uk.ORCID http://orcid.org/0000-0002-7561-2787
Vahid ElyasigomariData Science Institute, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-6970-9072
Alex MatthewsClinical Research Centre, University of Surrey, Guildford, UK.
Stelios PavlidisData Science Institute, Imperial College London, London, UK.
Philippe Rocca-SerraOxford e-Research Centre, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-9853-5668
Florian GuittonData Science Institute, Imperial College London, London, UK.
Denny VerbeeckJanssen Pharmaceutica NV, Beerse, Belgium.
Lucinda GraingerClinical Research Centre, University of Surrey, Guildford, UK.
Erica BorgogniGSK Vaccines Srl, Siena, Italy.
Giuseppe Del GiudiceGSK Vaccines Srl, Siena, Italy.
Mansoor SaqiData Science Institute, Imperial College London, London, UK.
Paul HoustonCDISC, Clinical Data Interchange Standards Consortium and CDISC EU Foundation, London, UK.
Yike GuoData Science Institute, Imperial College London, London, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/E025080/1Biotechnology and Biological Sciences Research Council BB/I000771/1Innovative Medicines Initiative (IMI) 115308Innovative Medicines Initiative (IMI) 115446Innovative Medicines Initiative (IMI) 115446 & 115308
6 · The paper itself

Abstract

Biomedical informatics has traditionally adopted a linear view of the informatics process (collect, store and analyse) in translational medicine (TM) studies; focusing primarily on the challenges in data integration and analysis. However, a data management challenge presents itself with the new lifecycle view of data emphasized by the recent calls for data re-use, long term data preservation, and data sharing. There is currently a lack of dedicated infrastructure focused on the 'manageability' of the data lifecycle in TM research between data collection and analysis. Current community efforts towards establishing a culture for open science prompt the creation of a data custodianship environment for management of TM data assets to support data reuse and reproducibility of research results. Here we present the development of a lifecycle-based methodology to create a metadata management framework based on community driven standards for standardisation, consolidation and integration of TM research data. Based on this framework, we also present the development of a new platform (PlatformTM) focused on managing the lifecycle for translational research data assets.

Indexed as

Information DisseminationMedical InformaticsTranslational Research, BiomedicalHumansMetadataUser-Computer Interface

Identifiers

PMID31409798
PMCPMC6692384

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.