Here is a brief list of training resources to learn more about bibliometrics tools, data sources, and limitations:
Data Science
Less Code More Science: Low Code Data Analysis
This hour and a half online training covers how to analyze and model data using interactive tools in MATLAB. Through live demonstrations and examples, attendees will learn to solve many steps in a data analysis workflow without writing any code. The interactive tools can generate the MATLAB code needed to reproduce the work programmatically.
By the end of this training, attendees will be able to:
Managing Data in Excel
This one-hour online training will provide detailed information and demonstrations on how to manage data in Excel.
By the end of this training, attendees will be able to:
Filter data by text, numbers, and date
Sort data alphabetically and by color
Remove duplicates
MATLAB
MATLAB is a programming and numeric computing platform used to analyze data, develop algorithms, and create models. In addition to MATLAB, we also license the Deep Learning (NNSMS)
and Statistics and Machine Learning (STSMS) toolboxes.
Modeling of Biological Systems with MATLAB: Introduction to Simbiology and Biopipeline Designer
This one-hour online training introduces attendees to modeling and simulation of biological systems using MATLAB’s SimBiology and BioPipeline Designer toolboxes. SimBiology is a versatile toolbox for modeling, simulating, and analyzing dynamic biological systems such as metabolic pathways, signaling cascades, and pharmacokinetics/pharmacodynamics (PK/PD) models. BioPipeline Designer complements this by streamlining workflows for integrating biological data and automating computational analyses.
NVivo: Making Your Data Come to Life: Part 2 of 2
This one and a half hour online training focuses on the practical use of NVivo by importing data, coding data, and then analyzing and visualizing textual data using NVivo, an analysis and visualization software for qualitative and mixed-methods research, evaluation, and literature reviews.
By the end of this training, attendees will be able to:
Our Work
Example Bibliometric Analysis Report
View the full catalog of sample bibliometric report formats (Available only to NIH staff).
R and RStudio (Open Source, Freely Available)
R and R Studio are useful for a wide variety of data manipulation, analysis, and visualization tasks.
Resources for Finding and Sharing Research Data
This one-hour online training provides researchers with an overview of online resources for locating research datasets, data repositories, and data publications for data sharing and re-use. Participants will learn search strategies for locating datasets through federated data search portals and generalist data repositories, including directories for locating discipline-specific and institutional data repositories.
SAS (Base)
Base SAS includes a programming language that manages your data, includes procedures for data analysis, reporting, and managing SAS files, and a windowing environment for text editing and file management.
SPSS Statistics
IBM SPSS Statistics enables you to quickly dig deeper into your data, making it a much more effective tool than spreadsheets, databases or standard multi-dimensional tools for analysts. SPSS Statistics includes a variety of functionalities such as descriptive statistics, data preparation, graphing, bivariate statistics procedures, factor and cluster analysis and linear and ordinal regression.
Stata
Stata is an integrated statistical software package for data management, analysis, and visualization.
Tableau Desktop
Tableau is a business analytics tool for creating a wide variety of interactive data visualizations.
Taming Messy Data: Practical R Wrangling with the Tidyverse
This one and a half hour online training equips participants with powerful data wrangling techniques using R and the tidyverse ecosystem. The tidyverse is a cohesive ecosystem of R packages designed to make data science workflows more intuitive and efficient through consistent syntax and design principles. Designed for both beginners and those looking to refine their skills, this training addresses the challenges posed by messy datasets.
By the end of this training, attendees will be able to
Tips for Getting Started with SAS Training
This one-hour online training will cover how to sign up and access complimentary SAS training resources available to NIH and HHS employees. The instructor will demonstrate how to enroll in recommended SAS 9.4 trainings.
By the end of this training, attendees will be able to:
Enroll in recommended SAS 9.4 trainings
VosViewer (Freely Available)
VOSviewer is a free software tool for constructing and visualizing bibliometric networks.
Working with Large Datasets in SAS: Tips, Tricks, and Best Practices
This one-hour online training, provided by a presenter from SAS, will review general best coding practices for SAS 9.4 that, when processing large data, will speed up performance.
By the end of this training, attendees will be able to:
Identify best practices in using PROC SQL and DATA Step in working with large data