---
authors:
  - givenNames:
      - Emmy
    familyNames:
      - Tsang
    type: Person
  - givenNames:
      - Giuliano
    familyNames:
      - Maciocci
    type: Person
---

# Welcome to a new ERA of reproducible publishing

## New open-source technology lets eLife authors publish Executable Research Articles that treat live code and data as first-class citizens.

Since 2017, we have been working on the concept of computationally reproducible papers. The open-source suite of tools that started life as the [Reproducible Document Stack](https://elifesciences.org/labs/b521cf4d/reproducible-document-stack-towards-a-scalable-solution-for-reproducible-articles) is now live on eLife as ERA, the **Executable Research Article**, delivering a truly web-native format for taking published research to a new level of transparency, reproducibility and interactivity.

[Read the full press release](https://elifesciences.org/labs/dc5acbde/welcome-to-a-new-era-of-reproducible-publishing)

chunk:
:::
```python
import numpy as np
import matplotlib.pyplot as plt

N = 50
x = np.random.rand(N)
y = np.random.rand(N)
colors = np.random.rand(N)
area = np.pi * (15 * np.random.rand(N))**2

plt.scatter(x, y, s=area, c=colors, alpha=0.5)
plt.show()
```
:::