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
by Iain Hrynaszkiewicz, Melissa L Norton, Andrew J Vickers, Douglas G AltmanIain 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
by Joseph S. Ross, Richard Lehman, Cary P. GrossThe double-edged sword of open access to research data.
Sharing Clinical Research Data City: Washington, D.C. Publisher: National Academies Press
by Institute of Medicine, National Cancer Policy Forum, Board on Health Sciences Policy, Board on Health Care Services, Forum on Drug Discovery, Development, and Translation, Forum on Neuroscience and Nervous System Disorders, Roundtable on Translating Genomic-Based Research for Health, Steve Olson, Autumn S. Downey, RapporteursThis e-book covers benefits, barriers and models for data sharing.
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
by Peter McQuilton, Alejandra Gonzalez-Beltran, Philippe Rocca-Serra, Milo Thurston, Allyson Lister, Eamonn Maguire, Susanna-Assunta SansoneBioSharing 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
by Taichman D, Sahni P, Pinborg A, Peiperl L, Laine C, James A, Hong S, Haileamlak A, Gollogly L, Godlee F, Frizelle F, Florenzano F, Drazen J, Bauchner H, Baethge C, Backus JThe 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
by John Sotos, David HouldingData 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.
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
by Barbara BiererBarbara 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
by Rosala-Hallas A, et al.The Project Data Sphere Initiative: Accelerating Cancer Research by Sharing Data
by Green AK, Reeder-Hayes KE, Corty RW, Basch E, Milowsky MI, Dusetzina SB, Bennett AV, Wood WAAccess 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.
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
by Hawkins C. Gay, Abigail S. Baldridge, Mark D. HuffmanData sharing is as an expanding initiative for enhancing trust in the clinical research enterprise
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
by Joseph S Ross, Jessica D Ritchie, Emily Finn, Nihar R Desai, Richard L Lehman, Harlan M Krumholz, Cary P GrossThis 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
by Joseph S. RossThis 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
by Nick Manamley, Steve Mallett, Matthew R. Sydes, Sally Hollis, Alison Scrimgeour, Hans Ulrich Burger, Hans-Joerg UrbanStatisticians 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.
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
by Kirby C, Ambros P, Billiter D, London W, Mendonca E, Monclair T, Pearson A, Cohn S, Volchenboum SThe devolpment of a data sharing database makes it easier to harmonize and manage for data mining.