What Can Open Science Learn and Use From DECODE’s Blockchain Urbanism Research and Tech Stack?

DECODE – DEcentralized Citizen Owned Data Ecosystem

In the context of contemporary urban development the growth of Smart Cities through—IoT, the sharing-economy such as AirBnB, digital services and platform from the private sector like Uber, or from municipal provision as in metro transport—there is a need for personal data privacy and for a level playing field in ‘aggregated data’ access for service providers and researchers. The EU Horizon 2020 funded DECODE research project has been developing just such a technical infrastructure to ensure smart and safe cities. With the motivation of the research being for real world implementation by all types of service providers using Privacy by Design principles. The question for Open Science and scholarly communications is, how can these principles and technologies be transferred from urbanism to academia.

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An Interview with Sarven Capadisli, Dokieli-Developer, on Autonomous Linked Research

Image: By Malvika Sharan @MalvikaSharan Twitter https://twitter.com/MalvikaSharan/status/1043084660522270722 

A rare breed of open Web researcher, testing assumptions about publishing and academic freedom by creating the demonstrative software ‘dokieli‘. A browser based, decentralized publishing software, designed on the principles of—empowerment, individual autonomy, decentralized and interoperable applications, universal access, and a social Web. And why the experiment “This ‘Paper’ is a Demo“, borne from a healthy dose of stubbornness, came about. The current line of thinking at a high-level is captured as part of the ‘Linked Research‘ initiative.

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Solid: Personal Data Management Through Linked Data

Solid logo

The premise behind Solid is a simple one: for every single piece of data you create online, you can choose where you store it. This choice does not affect what applications you can view this data with. Instead of letting apps prey on your data, you decide which parts of your personal data pod can be seen by what apps and what people. Since all apps find their data in the same place—your place—there is no need to synchronize: every app always shows you your latest data.

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Citation Indicators in Transition: Sharpening our insight into science requires more than refining existing citation indicators

Dave Kochalko of ARTiFACTS.ai takes us through key presentations from the STI 2018 conference that clearly demonstrate the littering of crevasses in citation metrics—knowledge gaps, research not counted, or biases not accounted for. The blogpost points to how scientometrics research, and new technologies like blockchain can be the foundations for a long overdue reworking of science metrics.

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