Multidisciplinary Data Science Collaborations
Made Trustful and Easy
Many data science projects today struggle to be efficient. It is difficult to identify available data, and then even more to share it; those who share data are often not recognized for their contribution; it is a struggle to keep track of versions of data; it is hard to see what code and data were used by whom to produce what results.
RENKU is an open platform that addresses these problems. RENKU supports versioning of data and code; RENKU tracks which results where produced by whom and when. RENKU makes it possible to have greater trust in results and acknowledge the contributions of all those involved, regardless of whether their contribution was to implement the solution, provide the data, or ask the right questions.
And RENKU does this without getting in the way of your established style of working.
Preview beta 0.2.0 released in September 2018
Trust in data
The platform promotes open data and science. This is a true incentive for researchers to post high quality, curated data enhances the trust other researchers have in the material provided, therefore making RENKU a real one-stop shop for high quality data.
Trust in science
Scientists can stand on the shoulders of giants by comparing their science against state of the art techniques and methods. By doing so, they build on existing research and enable the reusability of trusted science.
Trust in the community
RENKU’s philosophy is to mobilize and connect skills from the data science community, enhance their collective intelligence, and finally allow for the discovery of unforeseen knowledge.
A real Git for data science, RENKU fosters reproducible research by enabling scientists to retrieve history and data provenance, and go back in time to every step of published science.
Reusability and repetition
The platform facilitates the sharing and reuse of data and algorithms, and empowers specialists to use other people’s work in their own projects and execute them in an infrastructure agnostic environment. Attributions are therefore also consistently guaranteed.
RENKU supports a collaborative environment for dynamic and interactive prototyping by enabling content-rich discussions.
Data is safe with RENKU. It makes use of state of the art security and privacy preserving technologies and best practices. It will give fine grained control over who accesses any data, from where and how.
RENKU is designed to connect independently administred platforms and positions itself as a unique one-stop shop for high quality data by allowing a federated access across institutions, giving each the freedom to enforce its own access controls over resources.
Thanks to its automatically maintained and enriched knowledge graph, the platform supports targeted exploration as well as unforeseen discoveries by giving scientists access to the big picture through interconnected metadata. Science is thus described in a straightforward, intelligible manner.
RENKU as a Managed Service.