Three simple ways to refresh your data management practices Since we're all about saving time, we already did the hard work for you by creating the list below of three (reasonable) data management goals to tackle. These goals are sure [...]
Tips for Submitting Data to NIMH National Database for Autism Research (NDAR) Semi-annual submissions to NDAR are a requirement for a subset of NIH funded grants. Prometheus Research frequently submits data to the NDA on behalf of our autism-focused clients. [...]
Good Data Management Practices for Data Analysis: Part 3, Relational Databases As we illustrated in the first post in this series, data cleaning and data transformation are two major bottlenecks in data analysis. Both can be streamlined by using more [...]
Good Data Management Practices for Data Analysis: Part 2, Tidy Data Note: This post draws heavily from concepts described in an article, slide deck, and presentation by Hadley Wickham, Assistant Professor of Statistics at Rice University and Chief Scientist at [...]
Good Data Management Practices for Data Analysis: Part 1 As far as research experiences go, it’s hard to beat the moment when you finally get to analyze and interpret the data you worked so hard to obtain. Unfortunately, it’s common [...]
Research Trends: Repurposing Healthcare Registries to Improve Quality, Performance, and Outcomes Registries have begun to take new shape as medical societies and associations realize the potential value of their data. For those of you unfamiliar with what a healthcare registry [...]
Our Top 5 Rules for Stress-Free NDAR Data Submission After many years of experience submitting to NDAR, Prometheus has learned a thing or two. With that knowledge, we’ve put together a list of tips for approaching your NDAR data submission. [...]
A Brief Introduction to Clinical Nomenclatures Vocabulary management systems in electronic health records (EHRs) standardize how medical information is communicated. Although primarily intended to improve patient care, they also benefit researchers by bringing structure to complicated, nuanced, and dynamic health [...]
Help! I’m Drowning in a Sea of Changing Data! Tips for Getting Control of Your Data When It Feels Like Your Data Controls You (So You Can Finally Sleep At Night) Not everyone will admit to having this problem, but [...]
Record Matching: Facilitating Rich Data Sets When Merging Clinical Database The digitization of health records is making the aggregation of EHRs, prescription claims information, and other clinical data easier than ever before. But before analyzing clinical data collected from different [...]
