# Tools for Reproducibility and Extensibility in Scientific Research

- Institution: CERN
- Department: EP-IT Data science seminars
- Speaker: Jessica Forde
- Year: 2018
- Language: English
- Subjects: Computer science
- Source: [CERN](https://videos.cern.ch/record/3013009)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

Open inquiry through reproducing results is fundamental to the scientific process. Contemporary research relies on software engineering pipelines to collect, process, and analyze data. The open source projects within Project Jupyter facilitate these objectives by bringing software engineering within the context of scientific communication. We will highlight specific projects that are computational building blocks for scientific communication, starting with the Jupyter Notebook. We will also explore applications of projects that build off of the Notebook such as Binder, JupyterHub, and repo2docker. We will discuss how these projects can individually and jointly improve reproducibility in scientific communication. Finally, we will demonstrate applications of Jupyter software that allow researchers to build upon the code of other scientists, both to extend their work and the work of others.

There will be a follow-up demo session in the afternoon, hosted by iML. Details can be found at https://indico.cern.ch/event/725992/ .

0:00:00 Slide 1

0:01:06 Slide 2

0:02:30 Slide 3

0:02:37 Slide 4

0:02:41 Slide 5

0:02:46 Slide 6

0:02:50 Slide 7

0:02:54 Slide 8

0:02:58 Slide 9

0:03:02 Slide 10

0:03:06 Slide 11

0:03:15 Slide 12

0:03:19 Slide 13

0:03:24 Slide 14

0:03:29 Slide 15

0:03:34 Slide 16

0:03:39 Slide 17

0:03:44 Slide 18

0:03:48 Slide 19

0:03:53 Slide 20

0:03:58 Slide 21

0:04:34 Slide 22

0:04:53 Slide 23

0:05:16 Slide 24

0:05:39 Slide 25

0:06:07 Slide 26

0:06:19 Slide 27

0:07:08 Slide 28

0:07:38 Slide 29

0:07:45 Slide 30

0:07:55 Slide 31

0:08:11 Slide 32

0:08:15 Slide 33

0:08:19 Slide 34

0:08:23 Slide 35

0:08:29 Slide 36

0:08:34 Slide 37

0:08:50 Slide 38

0:09:10 Slide 39

0:09:17 Slide 40

0:09:27 Slide 41

0:09:33 Slide 42

0:09:39 Slide 43

0:09:43 Slide 44

0:09:58 Slide 45

0:10:32 Slide 46

0:10:51 Slide 47

0:11:29 Slide 48

0:11:46 Slide 49

0:12:30 Slide 50

0:13:04 Slide 51

0:13:38 Slide 52

0:14:11 Slide 53

0:14:28 Slide…

## Lectures

1. [Tools for Reproducibility and Extensibility in Scientific Research](https://invisiblenetwork.ai/learn/cern/3013009/6e362a9de0da), 1 h 2 min (CERN's player)