ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2013
Redactable and auditable data access for bioinformatics research.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Presently, the process of extraction and dissemination of data subsets for research from clinical data warehouses is cumbersome and error prone. Furthermore, large-scale research projects often involve multiple users of the same data extract; each of these users may be authorized to access different data elements and specific subsets of the data extract. Once initial data extraction has been done for a research project, capability to transform the data for individual users and track which data are being accessed by which users in a secure environment is lacking in existing systems. This paper describes several methods that the authors are integrating into a system designed to provide secure, flexible, and auditable support for supplying users with data subsets. The methods implement secure, redactable, and auditable mechanisms for data extraction and dissemination. This paper describes the architecture along with an initial proof-of-concept implementation. Preliminary performance measurements show that the approach manages clinical data in redactable and auditable form with reasonable overheads.
Identifiers
24303231PMC3845775What OpenQuestion holds
Registered trials
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.