Scenario
Jane has written a (math) paper based on experimentations. She would like anyone to be able to reproduce her calculations.
Suggestion of solution

Describe the experimentation as Jupyter notebooks, mixing prose, code, and outputs (think of them as logbooks);

Publish them on a public repository (e.g. on GitHub);

Make that repository Binderready by describing the software stack required; for details, see the Binder documentation;

Bonus: make the paper itself active
Some instances

Computing isomorphisms and embeddings of finite fields, Ludovic Brieulle, Luca De Feo, Javad Doliskani, JeanPierre Flori and Éric Schost, arXiv:1705.01221 [cs.SC]

The 0Rook monoid and its representation theory, Hivert and Gay
To do
 Estimate the number of such instances;
 Provide a template.
Time and expertise required
Assuming Jane is familiar with version control and Jupyter (basic lab skills taught at Software Carpentry, that the experiments were prepared as notebooks, and the software required is packaged (conda, debian, docker container, …), the publishing part could take two hours the first time, and half an hour later on.
What’s new since OpenDreamKit started
 Apparition of Binder;
 Expansion of the Jupyter technology;
 Better packaging and interfacing of math software.
OpenDreamKit contribution
 Development and contributions to Jupyter interfaces (kernels) for math software (GAP, Pari/GP, SageMath, Singular) and C++; see D.47.
 Contributions to the packaging of math software (GAP, Pari/GP, SageMath, Singular, …); see D3.1 and D3.10;
 Early adoption of Binder;
 Contributions to the deployment of new Binder instances;
 Advertising, training, providing a template (TODO!), …
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