The Reprex
is a Netherlands-based data science startup founded in 2020. We help to decrease the inequalities caused by big data and AI, and we thrive to make an impact on the UN SDG agenda.We are finalists in The Hague Innovators Award 2022 competition.
Reprex is building a data sharing system, Reprexbase, which is built around Wikibase as a knowledge broker system. We design it in a way that it help compliance with ESG reporting and the new European Sustainability Reporting Standards.
Introduction of the Open Music Observatory, a decentralised way to create a data observatory with the help of a modern, federated, decentralised data-sharing space that is interoperable with various EU digital services.
Reprex released the 0.2.6 version of its [dataset] R package to make data frames easier to exchange and reuse.
From open data and open-source statistical software to data-as-service.
This report was commissioned by the Music Creators’ Earnings Project as an empirical analysis of justified and unjustified differences in music creators’ music streaming earnings.
Urgent consideration should be given to a user-centric payment system, as well as greater transparency of the factors underpinning playlist creation and of negotiated agreements
While the US have already taken steps to provide an integrated data space for music as of 1 January 2021, the EU is facing major obstacles not only in the field of music but also in other creative industry sectors. Weighing costs and benefits, there can be little doubt that new data improvement initiatives and sufficient investment in a better copyright data infrastructure should play a central role in EU copyright policy. A trade-off between data harmonisation and interoperability on the one hand, and transparency and accountability of content recommender systems on the other, could pave the way for successful new initiatives.
Why are the total market shares of Slovak music relatively low both on the domestic and the foreign markets? How can we measure the market share of the Slovak music in the domestic and foreign markets? We offer some answers and solution based on empirical research and with the creation of a database and an AI application."
The topic of the paper is Library Genesis (LG), the biggest piratical scholarly library on the internet, which provides copyright infringing access to more than 2.5 million scientific monographs, edited volumes, and textbooks. The paper uses advanced statistical methods to explain why researchers around the globe use copyright infringing knowledge resources. The analysis is based on a huge usage dataset from LG, as well as data from the World Bank, Eurostat, and Eurobarometer, to identify the role of macroeconomic factors, such as R&D and higher education spending, GDP, researcher density in scholarly copyright infringing activities.