Open Science
Open Science is a broad term, that every organization, institution or person uses in a different way. A proper definition is hard. In principle, the approach to open science aims at lowering hurdles in generating, analyzing, publishing data as well as conducting science, in principle allowing free access for anyone
The basic pillars are:
- Transparency
- Reproducibility
- open communication
- sharing of data and protocols
Open Science comes from the principles of Open Source, which is itself historically a distinction from the term "free software ", since free implies free of charge, but basically just means that the code can be viewed and is accessible for everyone. However that doesn't mean it is free or the licence allows free distribution. Open Source was introduced to avoid these misconceptions. At its basis the term shall not only stress the free availablity but also the open and collaborative development process of these projects.
We orient ourselves on the guidelines specified in the definitions of the EU and the Open Science AG:
There exist a lot of different organizations that want to spread open science and open source in different categories and via different means. We present you in the following a small, non-exhaustive list of projects known to us we deem support-worthy and interesting.
Contents
Open Science Ecosystem
The Open Science Ecosystem (OSE) developed as a pad on the Blockchain for Science website, to keep track of all the Open Science Projects that use or want to use Blockchain technology. Blockchain for Science is a, prominently introduced by Dr. Sönke Bartling, who heard about the recent BitCoin-Hype and acknowledged that the technique behind it - mainly the verification process and the tokens you can use for databases - may prove very useful for Science as well.
In the wake of the first Blockchain for Science conferences, a lot of different task groups evolved: Those that want to revolutionize the publication system, those who want to automatize and revolutionize the peer-review and validation process to assure scientific integrity and validity. But also other approaches like meta-data analysis and many more things are possible on the basis of new technologies like Blockchain, AI and Cryptocurrencies.
To get an overview about the different working groups in the Eco System, you can inform yourself here:
Open Science Ecosystem hackmd pad
For more Information on Blockchain for Science just go here:
Open Science Framework
The OSF is a cloud-based network for collaborative research projects and scholary commons. Version control and a centralized hub for your data and files makes working easier and helps making science more reproducible and verifiable!
Open Science Network
The Open Science Network is a little bit comparable to the OSF and the OSE, with one big difference: They do not offer a service (yet), but also want to change scientific work in fundamental ways, namely in the departments publishing, Funding and Verification via tokens. For this, they also rely on a approach that makes use of blockchain.
Project Aiur
Project Aiur started as a side project from the Iris.AI initiative, a project that wanted to focus on making smarter research decisions by filtering the information you need for a project. Project Aiur now wants to build a Knowledge Validation Engine, also via Blockchain and tokenized incentives. Members shall be able to "pay" for services such as searching for papers, checking data and so on with the tokens. The core of the Iris.AI, an Artificial Intelligence based assistant that helps you with literature research and review important to your projects. It still has to be "trained" Iris.AI
Open Knowledge Foundation
The Open Knowledge Foundation is a Association that strives to make the world a better place by helping civil society to gain access to more data, enabling communities all over the world in different disciplines to create, share and discuss new knowledge and practical work in form of different projects.
