This post was originally published in German on the TIB Blog (March 21.2018)
Findability Through Persistent Identifiers
In addition to implementing the FAIR Data Principles for research data there is a need to support the sustainable development, use, and publication of research software. This blog post represents an interim status of the development of these competences.
Among the many perspectives and motivations for the interest in the decentralization of the web two areas that seem most compelling for Open Science are:
firstly, the ability to verify the provenance of data objects, and
secondly, to aid making content independent of platforms and their inevitable lock-in — either from business exploitation or the end of the life cycle of a platform being reached.
The model of decentralization is already firmly instantiated as the Internet, a system that never crashes (fatally), or stops working, and can scale and evolve. The question it would seem we face is how to extend such resilience to research software, platforms, and infrastructures.
Currently the decentralized web has three different technology enabling models in the running.
All of these technology options are currently being run in research programmes in academia. We will look to assemble voices from these different communities to look at the motivations and outcomes of this R&D.
For the researcher we will look at how they can get involved in using what is on offer from decentralized systems while keeping their data and time invested in adopting or trialing these technologies somehow safe.
For the theme Software Citation running from June to the end of the summer we will be looking at how to move over our research and findings over to community learning resources like Open Science MOOC (OS MOOC).
If you would like to get involved you chat on Gitter or check out plans on GitHub.
What we will be doing with Open Science MOOC
OS MOOC are looking to release their first module ‘Open Research Software and Open Source’ over the start of Summer ’18 and Generation R will look to help create a portion of the syllabus on the Software Citation theme.
Generation R is about the discourse surrounding the effects of increased digitization and networked computing on researchers and academia.
Our editorial is led by four questions about Open Science, with the primary question being how to take a ‘needs based approach’ to researchers and contribute to researchers becoming open scientists — open scholars, or digital humanists — pick your preferred term.
Our four editorial questions on Open Science are:
taking a ‘needs based approach’ to researchers,
Open Science discourse,
improving the making of Open Science software & systems, and
addressing imbalances and problems in science knowledge systems.
We aim to encourage more researchers to become involved in shaping and designing the new digital tools, instruments, methods, and infrastructures they use.
What is the consultation about?
We have an outline of a plan for how to organize the Generation R editorial platform. This outline proposes a three channel approach, using
The idea is then to use this three channel combination to help contribute to partner’s learning resources, such as with Open Science MOOC.
We have established the blog using WordPress, but our other channels are a work in progress and here is where we are reaching out to look for pointers and recommendations.
What we’re thinking about:
How as an editorial platform and network can we support the Open Science community.
Helping evaluating a way forward and consulting on our platform plans.
Asking specific platform questions, for example what technologies or platforms to use to make a collaborative Open Research Notebook.