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The question is then what kind of future science scenarios open up? Where does this take us?

Future scenario:

(in a not to distant future — as this model has been in use for a few decades, for example by packet management systems like Debian’s Dpkg, etc.)


  1. Software is stored in a Git repository with 'Continuous Validation' (CI) running.
  2. A 'software citation' file is in the repository.
  3. 'Research data' is publishing, having been validated using a 'content version' of a CI system, and including a 'software citation' file for running the software.
  4. A researcher finds the published 'research data' with the related 'software citation' for the software needed to run the data.
  5. The researcher wants to check the 'research data' that they have found. In real-time and using a 'persistent identifiers’ (PIDs) for the 'research data' and for the 'software citation' the researcher is able to load the data in their browser and have the software run via a 'virtual machine' and used in the browser.


The tool chain – It can be imagined that something like @ProjectJupyter is used where data and code can be edited and run, with #binder or @CodeOceanHQ or @SWHeritage being extended to offer VM services to the software makers. The glue in the citations for the 'research data' and 'software citations', can be DOIs from @ZENODO_ORG that have been wrapped in a future version of the #CFF Citation File Format @stdruskat, or #codemeta @cboettig


2014 Ebola outbreak it was pointed out that after the epidemic subsided data was scattered, not available and you can assume the knowledge about software systems used also lost. See: Dr Simon Hodson, Executive Director CODATA, France & Chair of the EC Expert Group on FAIR Data. Slide 17 from Open Science Conf March 2018 LG S2.0.