# Understanding Software in Research: Initial Results from Examining Nature and a Call for Collaboration

arXiv: https://arxiv.org/abs/1706.06527 · HTML: https://mlsanity.com/paper/1706.06527/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Jun 2017.

## Built on by (most cited first, 2 of 2)

- [SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles](https://mlsanity.com/paper/2108.09070/) (2021)
- [Establishing trust in automated reasoning](https://mlsanity.com/paper/2309.12351/) (2023)

## Abstract (arXiv)

This lightning talk paper discusses an initial data set that has been gathered to understand the use of software in research, and is intended to spark wider interest in gathering more data. The initial data analyzes three months of articles in the journal Nature for software mentions. The wider activity that we seek is a community effort to analyze a wider set of articles, including both a longer timespan of Nature articles as well as articles in other journals. Such a collection of data could be used to understand how the role of software has changed over time and how it varies across fields.