Distributed data analysis in a multicenter study: The CARDIA study

Perkins, Laura; Cutter, Gary; Wagenknecht, Lynne E.; Savage, Peter J.; Dyer, Alan R.; Birch, Robert W.

doi:10.1016/0197-2456(92)90031-t

Cited by 5 publications

(3 citation statements)

References 20 publications

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“…However, distributed data analyses may lead to more publications if the centralized resources are not adequate. 5 Internationally, access to data is a challenge for rapid interaction, discussion, conducting statistical analyses, reviewing results, and so forth. Recent advances in communication technology have made this more possible.…”

Section: Authorship Guidelinesmentioning

confidence: 99%

Coordination of international multicenter studies: governance and administrative structure

Bangdiwala¹,

Paula²,

Ramiro³

et al. 2003

Salud pública Méx

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Section: Authorship Guidelinesmentioning

confidence: 99%

Coordination of international multicenter studies: governance and administrative structure

Bangdiwala¹,

Paula²,

Ramiro³

et al. 2003

Salud pública Méx

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“…Greenberg goes on to propose greater control by the steering committee for the clinical trial and restricted access to the data. He then notes that this type of arrangement has actually worked in the Coronary Artery Risk Development in Young Adults trial (35).…”

Section: The Changing Computing Environment As a Facilitatormentioning

confidence: 99%

Sharing Statistical Data in the Biomedical and Health Sciences: Ethical, Institutional, Legal, and Professional Dimensions

Fienberg

1994

Annu. Rev. Public Health

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data as public good INTRODUCTION A 1992 report issued from the National Research Council observes: "The general norms of science emphasize the principle of openness. Scientists are generally expected to exchange research data as well as unique research materials that are essential to the replication or extension of reported findings." (34). While these norms have been acknowledged over centuries, the actual practice of sharing research data has varied widely even within individual disciplines , and until recently it has rarely been instantiated in the form of specific rules and formal mechanisms. Recent technological changes have given new meaning to access to rescarch data, and scientists are questioning whether the principle of scientific openness actually requires providing access to their own research data. What has emerged is the notion of research data as a public good, irrespective of the source of funding for the research. In essence, there appears to be general agreement that research data become a public good when the research results enter into the public domain through publication or formal presentation in some scientific or public policy forum.

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“…Large, multisite, epidemiologic studies or clinical trials require a centralized coordinating center to be established. This center is tasked with the implementation and management of all aspects of the data collection, entry, and management (Meinert & Tonascia, 1986; Perkins et al, 1992). Many multisite studies must accomplish complex data‐related tasks without such support.…”

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confidence: 99%

Data Collection in a Multisite Project: Teleform™

Hardin¹,

Woodby²,

Crawford³

et al. 2005

Public Health Nursing

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Data collection, entry, validation, and management are salient time- and resource-consuming dimensions of all research projects. This is especially true for multisite studies, which pose unique, additional challenges because of their research design requirements. To save time and reduce the number of manual data entry errors, automated processing systems are becoming more widely used. Our research team chose Teleform for data entry and collection for the Smoking Cessation or Reduction in Pregnancy Trial study. This article presents our experience with this new technology.

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Distributed data analysis in a multicenter study: The CARDIA study

Cited by 5 publications

References 20 publications

Coordination of international multicenter studies: governance and administrative structure

Coordination of international multicenter studies: governance and administrative structure

Sharing Statistical Data in the Biomedical and Health Sciences: Ethical, Institutional, Legal, and Professional Dimensions

Data Collection in a Multisite Project: Teleform™

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