The Final Rule of the FDA Amendments Act of 2007 has updated registration and reporting requirements, effective January 18, 2017, with compliance mandated by April 18, 2017. The purpose of the final rule is to clarify the statutory language, expand the minimum reporting data set, and add critical details throughout the ClinicalTrials.gov record to improve effectiveness and compliance overall.
The week of February 13–17, 2017, is Love Your Data (LYD) week, a social media event designed to raise awareness about research data management, sharing, and preservation. This year’s theme is emphasizing data quality for researchers at any stage in their career. Each day of the week will focus on a different topic:
Join the librarians at the University of Pittsburgh in celebrating Love Your Data (LYD) week, a social media event designed to raise awareness about research data management, sharing, and preservation. During the week of February 13–17, 2017, practical tips, resources, and stories will be shared via Twitter (#LYD17 or #loveyourdata) and via in-person and online data classes offered at Pitt’s libraries. Mark your calendar and stay tuned for forthcoming details.
R is a programming language and software environment used for data analysis and/or visualizations. Below are several resources available to help you learn how to use R with your data.
Online training through lynda.pitt.edu (for Pitt users only)
The University provides access to online training via Lynda.com, which includes thousands of videos on topics such as Web design, video editing, Excel, PowerPoint, Photoshop, and more, including R.
The New England Journal of Medicine is hosting a challenge to explore the potential of clinical trial data sharing. Individuals and groups are invited to participate in the SPRINT Data Analysis Challenge by analyzing the dataset underlying the Systolic Blood Pressure Intervention Trial (SPRINT) Research Group’s article and identifying novel scientific or clinical findings that advance medical science.
You’ve collected your data—now what? Having a basic set of data visualization skills will enable you to effectively communicate their significance. From understanding how your audience will interpret a bubble chart on your conference presentation to having proficiency with data visualization software packages, there is a wide variation in levels of mastery.
For the past several years, researchers, funders, publishers, software developers, institutions, and other research stakeholders have been discussing methods for data-sharing and data stewardship on a grand scale, recognizing the need for minimal principles and practices. The FAIR data principles were first formalized in 2014 at a workshop in Leiden, The Netherlands, and are available for comment at the website of Force11.» Next Entries