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Empirical study of data sharing by authors publishing in PLoS journals

This study determines how well authors comply with data sharing policies in Clinical Research Trails. 

Preparing raw clinical data for publication: guidance for journal editors, authors, and peer reviewers

Iain Hrynaszkiewicz and colleagues propose a minimum standard for de-identifying datasets to ensure patient privacy when sharing clinical research data.

The importance of clinical trial data sharing: toward more open science

The double-edged sword of open access to research data. 

Sharing Clinical Research Data City: Washington, D.C. Publisher: National Academies Press

This e-book covers benefits, barriers and models for data sharing. 

Data Sharing at a Crossroads

The clinical research community is at an important crossroads about sharing data. 

BioSharing: curated and crowd-sourced metadata standards, databases and data policies in the life sciences

BioSharing harnesses community curation to collate and cross-reference resources across the life sciences from around the world. 

Data sharing statements for clinical trials: a requirement of the International Committee of Medical Journal Editors

The ICMJ gives its vision for a global research community in which sharing de-identified data becomes the norm.

Blockchains for Data Sharing in Clinical Research: Trust in a Trustless World

Data sharing is now a major theme in clinical research. However, effective, ethical sharing of clinical research data requires trust: research subjects must trust investigators to preserve their privacy, investigators must trust each other to give credit where credit is due, and the integrity of the entire research enterprise must be trusted by all. 

Data Sharing; Transparency Initiative - The Multi-Regional Clinical Trials Center of Harvard and Brigham and Women's Hospital

The Multi-Regional Clinical Trials Center of Brigham and Women's Hospital and Harvard (MRCT) aims to improve the integrity, safety, and rigor of global clinical trials.

Clinical Trial Data Sharing

Barbara Bierer presents changes in data sharing, and gives solutions to challenges facing the feild. 

Global health trials methodological research agenda: results from a priority setting exercise

The Project Data Sphere Initiative: Accelerating Cancer Research by Sharing Data

Access to large, late-phase, cancer-trial data sets has the potential to transform cancer research by optimizing research efficiency and accelerating progress toward meaningful improvements in cancer care.

A SOA-Based Platform to Support Clinical Data Sharing

This article looks at the development of software to enhance the integration between patient-care practice and medical research.

Feasibility, Process, and Outcomes of Cardiovascular Clinical Trial Data Sharing

Data sharing is as an expanding initiative for enhancing trust in the clinical research enterprise

Introduction to Research Electronic Data Capture (REDCap) and REDCap2SDTM, a Conversion Tool to Facilitate Clinical Research Data Sharing

A new tool for the capture and conversion of clinical data is introduced as a way to encourage reuse of data and to reduce workloads in new studies. 

Data sharing through an NIH central database repository: a cross-sectional survey of BioLINCC users

This article assesses the use of the BioLINCC by clinical researchers. 

Clinical research data sharing: what an open science world means for researchers involved in evidence synthesis

This article looks at how data sharing could change and challenge design, conduct, and reporting of systematic reviews and meta-analyses for Clinical Research, as well as it's impact on those involved in evidence synthesis. 

Data sharing and the evolving role of statisticians

Statisticians are ambassadors for data sharing and are central to its success; this article looks at how the role is changing with new technologies and trends for data transparency. 

Data Sharing

The article poses the question: How would data sharing work best?

Development of an open-source, flexible framework for complex inter-institutional disparate data sharing and collaboration

The devolpment of a data sharing database makes it easier to harmonize and manage for data mining.