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General Resources

Frequently Asked Questions
PDS Platform Use Agreement (PDF)
PDS Data Sharing Agreement (PDF)
How To Guide: Accessing and Downloading Data (PDF)
How To Guide: Becoming a Data Provider (PDF)
MEPS (Medical Expenditure Panel Survey) Linked Datasets: Quick Start (PDF)
MEPS (Medical Expenditure Panel Survey) Linked Datasets: Example Program Files (ZIP)

SAS® Tools

How To Guide: Creating and Running SAS Programs within the Project Data Sphere Platform (PDF)
LSAF Videos
SAS® Visual Data Mining and Machine Learning (PDF)
Open Source Access to SAS® Visual Data Mining and Machine Learning (PDF)
R API Access Example Script (TXT)
Python API Access Example Script (TXT)
Certificate for Python Access (PEM)

Data Providers

De-Identification Strategy Example (PDF)
SAS Macros for Data De-Identification (PDF)
Dataset Upload Reference (PDF)

External Links

The following links are operated by other parties. The resources are not under the control of Project Data Sphere, and Project Data Sphere is not responsible for any of the content these resources may offer. This list and any links to the listed resources do not imply Project Data Sphere's endorsement of any third-party content, and Project Data Sphere disclaims all liability with regard to your access to and use of such content. Access to any of the content these resources may offer is at your own risk. You are responsible for complying with any legal terms that may be applicable to your access to and use of any of content offered by any of these resources.

Synthetic Controls, Cytel Video

Cytel published an excellent instructional video on best practices when considering the use of synthetic controls to address accelerated treatment approvals for rare disease, considering adaptive clinical trial design, and researching the effectiveness of new treatments. Leveraging some of the published data on PDS platform, this is a great introduction to a handful of success stories. In this video, Kristian Thorlund, SVP Real World Analytics at Cytel, demonstrates a few key examples of applied use for accelerated approval (Blinatumomab 2014) and exploration of dynamic Bayesian borrowing or applying methods of different randomization methods.

Read more from the published article, Minimizing control group allocation in randomized trials using dynamic borrowing of external control data - An application to second line therapy for non-small cell lung cancer

CT.gov Study ListA list of ClinicalTrials.gov studies available on the Project Data Sphere platform, one row per unique CT.gov identifier. "Core" datasets are identified and are linked to "related" curations and refreshes.
Cancer Imaging ArchiveA large archive of medical images of cancer accessible for public download. Registration is free. All images are stored in DICOM file format. The images are organized as "Collections", typically patients related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc.) or research focus.
Clinical Study Data Request PortalClinicalStudyDataRequest.com is a leading consortium of clinical study data providers who are inspired to drive scientific innovation and improve medical care by facilitating responsible access to patient-level data from clinical studies.
Immune Tolerance NetworkDe-identified patient level data, clinical study reports, and protocols from 60 allergy, autoimmunity, and transplant trials. These data are shared broadly upon completion of an application that is not reviewed for merit.
Open ImmPortResource for searching and downloading shared biomedical research data funded from NIH and non-government funding agencies. Additional resources available include step-by-step data reuse tutorials including example R and Python analysis code, the Cell Ontology Visualizer, the Cytokine Registry, and ImmuneXpresso - the cytokine and cell interaction literature mining tool.
Pooled Resource Open-Access ALS Clinical Trials DatabaseOver 8,500 de-identified clinical patient records from the placebo and treatment arms of 17 Phase II/III trials.
Sage BionetworksDe-identified patient level data across a variety of therapeutic areas which is shared broadly for collaboration on research projects.
The Cancer Genome Atlas (TCGA)A collaboration between the National Cancer Institute (NCI) and National Human Genome Research Institute (NHGRI), which aims to generate comprehensive, multi-dimensional maps of the key genomic changes in major types and subtypes of cancer.
The YODA ProjectThe Yale University Open Data Access (YODA) Project's mission is to advocate for the responsible sharing of clinical research data, open science, and research transparency. Data for more than 300 clinical trials are currently available for request.
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