EUREKA - Scientific Review and Rating Platform Fuelled by the EUREKA Token from EKA Blockchain Solutions GmbH

As publishers employing a new metric that may well be accustomed value admissions a lot of quickly so rushing up the publication procedure. Our review method will permit writers to revise and improve the document. once the paper is modified, final review and evaluations are going to be publically appended to the preprints. These preprints or observations with reviews and ratings are going to be archived through the EUREKA decentralized and spread system. In instances wherever the author needs to publish during a typical journal, the scores may well be affected to the journals.

This will give a perfect technique for analysis knowledge management that reduces the necessity to depend upon trust alone in publishers and writers. All the procedures and outputs (e.g. data, protocols, code) are open and clear, thus making certain most dependability and confirmation. we will gain access to analysis while not even putt up obstacles. victimisation blockchain technology, we will scale back cases of single points of failure. Researchers themselves are entirely to blame of the full method of dissemination. there is not any likelihood of this data ever disappearing, thanks to the distributed nature of blockchain.

Decisions on career advancement, tenure, funding, and awards are in the main supported wherever the study is printed, resulting in pressure on researchers to publish in conventional"high impact" journals. EUREKA can have the primary blockchain-based scientific scoring system, preprint server, and solely watching platform that provide dependable, changeless scores on analysis knowledge which can be affected on the blockchain to funders, establishments and straight to journals. Thus, sources of finance might build selections supported evaluations and testimonials on the EUREKA Platform. selections on career advancements: Scores and assessment of a specific study that the study data has been listed on the EUREKA Platform will be transferred to universities and establishments to be used once a scientist is taken into account for promotion, tenure, or awards. Preprints might substitute the immediate analysis for career advancement supported typical publication and its journal-based metrics with EUREKA evaluations. The analysis method for these prizes takes into thought wherever the writers are printed, and consequently, our rating and review system on analysis data might eventually kind a part of the factors for selection. The award committee might take into thought each the crowdsourced annotation conjointly expert-guided reviews and evaluations instead of this suggests that of simply decision making wherever a piece was printed.

An artificial intelligence-based prediction tool will use proprietary algorithms which will determine connected observations and studies by cross-referencing annotations and connect them to make a story. This technology will be leveraged to predict targets for drug development. The EUREKA Platform ensures that its material is archived through a distributed server system. data is obtainable on the stage and sharing is inspired by all writers. thanks to the worth of knowledge in analysis, the sharing of data can shortly be a compulsory a part of each submission. automatic knowledge analysis tools victimisation data templates are going to be designed to encourage community-based analysis of essential and formatted data.

The present system in domain incentivises investigators to set back publication study till they need a sufficiently large'narrative' to be able to more their careers. thanks to this, a few years will pass till vital findings are written. A scientist will instead publish multiple single observations concerning the EUREKA Platform, providing totally different scientists with the chance to include these observations into their analysis. this may be particularly useful for junior researchers seeking to form AN early mark in their professions. On the EUREKA Platform, by permitting smart-contract based mostly obligations, reviewers are going to be rewarded for conducting peer reviews in tokens. ScienceMatters is that the initial client to implement this technology. Now, ScienceMatters is one amongst the few publication homes that pays peer reviewing financially however victimisation edict payments ends up in high fees and delays in payments. On the EUREKA Platform, tokens are going to be accustomed incentivise review with the short and acceptable quantity. Discoveries from publically funded analysis are presently printed in journals that then gain from the publication of the findings, whereas writers are not rewarded. The EUREKA Platform can like a shot pay writers with EUREKA tokens, whose job is later employed by others.

The EUREKA Platform can attract researchers that have sensible ideas and micro-proposals directly connected with funding agencies, individual funders, investors that have an interest in finance new ideas. The procedure for vetting proposals are going to be achieved through a ballot procedure, which is able to permit qualified investigators to upvote and downvote suggestions and leave comments.

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