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Penn State University Libraries

Data Tools

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Here is a list of resources that have data tools for collecting, organizing, analyzing, citing and maintaining it over time.

Capture

RedCap
(Research Electronic Data Capture) is a secure, web-based application designed exclusively to support data capture for research studies.

Analysis

Colectica: The Colectica Platform is an ideal solution for statistical agencies, survey research groups, public opinion research, data archivists, and other data centric collection operations that are looking to increase the expressiveness and longevity of the data collected through standards based metadata documentation.

SDA Berkley: SDA is a set of programs for the documentation and Web-based analysis of survey data.

Sharing

 i2b2 as a way to search and discover clinical data. i2b2 (Informatics for Integrating Biology and the Bedside) is an NIH-funded National Center for Biomedical Computing based at Partners HealthCare System. The i2b2 Center is developing a scalable informatics framework that will enable clinical researchers to use existing clinical data for discovery research and, when combined with IRB-approved genomic data, facilitate the design of targeted therapies for individual patients with diseases having genetic origins.

Nesstar: Nesstar is a software system for publishing data on the Web.

Storage

CTMS (clinical trials management system) provides secure, stable and centralized access to multiple sites, trials, and programs. Gives access to all of the data and allows sharing with all parties from multiple locations. It is available as a convenient web-based program that can be achieved with most internet browsers such as Explorer 7 and 8. The CTMS software will allow efficient collecting and management of patient and trial administration data and offers enhanced data importing capabi lities including direct integration with Medidata Rave and other “CDISC=compliant EDC and IVRS systems.

Reference

Digital Curation Center DCC Guide to Cite Datasets and Link to Publications: This guide will help you create links between your academic publications and the underlying datasets, so that anyone viewing the publication will be able to locate the dataset and vice versa. It provides a working knowledge of the issues and challenges involved, and of how current approaches seek to address them. This guide should interest researchers and principal investigators working on data-led research, as well as the data repositories with which they work.

Unidata: providing data services, tools and cyberinfrastructure leadership