BioBuilder NIH/IES/NSF/PCORI
- Clone the desired template from the link below:
- E.g., clone
nih_template.docxandnih_template.Rmdinto your working directory. - Clone the supporting file (
mydata.xlsx).
- E.g., clone
- Open in RStudio:
- Open the template file in RStudio.
- Load the required libraries:
library(scholar, tidyverse, flextable, officer)
- Reads data from a local file (i.e., mydata.xlsx)
- Can add additional data from Google Scholar
- Includes automated NIH-biosketch formatting
- Can customize tables and data
- Exports as a Word document (fully editable)
BioBuilder - Easily create your biosketch
This RMD file specializes in generating NIH biosketches, streamlining the process for researchers
What does BioBuilder do?
The idea of BioBuilder is to let you create and share
your NIH/IES/NSF/PCORI formatted biosketch as a Word document,
formatted and populated easily within R Markdown.
But, why?
Efficientcy. A biographical sketch (also referred to as biosketch) documents an individual’s qualifications and experience for a specific role in a project. For instance, NIH requires submission of a biosketch for each proposed senior/key personnel and other significant contributor on a grant application. I’ve genrated numerous biosketches for grant submissions and used lots of time searching for a template, updating a previous version (hoping I’ve located the most recent version) and just needed a simple solution that could easily update.
How do I use this?
After confirming the libraries update the file directory.
myid <- "insert your Google Scholar ID" #------- Update with your Google Scholar ID
Follow Google Scholar???s instructions for obtaining an ID: A primer on creating and modifying your Google Scholar account can be found at: https://scholar.google.com/intl/en/scholar/citations.html.
C:/Users/mydata.xlsx #------ Update the location of the supporting files
That’s all the changes you need. Now you can update data in the supporting files and generate your biosketch by simply selecting the blue ‘Knit’ button at the top left of the console pane.
Of course you could put more stuff in the R Markdown template or improve the design, but this is the beauty of it, the data and tables are all modifyable.
Current features
Future features
New features may include reading the supporting files from a remote API (such as from orcid.org), streamlining code for efficiency, and other ideas that you come up with.