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This is a much improved version with highly improved performance, more consistent function interface and far more readable code. The last CRAN release is stable, the following version will be a stable, better release candidate.
\nNew vignette United Kingdom Input-Output Analytical Tables to compare analytical function results with published results from the UK National Office for Statistics.
\nThe package website has already three long vignettes.
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\r\n
\r\n- The data must be tidy, with all observations in rows, and all variables in columns.
\r\n- The data should be clearly described, and if possible, be reproducible with R or Python program code.
\r\n- If the dataset is not reproducible, we will try to make it reproducible with the author of the submitted dataset.
\r\n
Big data and automation create new inequalities and injustices and has a potential to create a jobless growth. Our Economy Data Observatory is a fully automated, open source, open data observatory that produces new indicators from open data sources and experimental big data sources, with authoritative copies and a modern API.
\r\n\r\nOur observatory is monitoring the European economy to protect the consumers and the small companies from unfair competition both from data and knowledge monopolization and robotization. We take a critical SME-, intellectual property policy and competition policy point of view automation, robotization, and the AI revolution on the service-oriented European social market economy.
\r\n\r\nWe would like to create early-warning, risk, economic effect, and impact indicators that can be used in scientific, business and policy contexts for professionals who are working on re-setting the European economy after a devastating pandemic and in the age of AI. We would like to map data between economic activities (NACE), antitrust markets, and sub-national, regional, metropolitian area data.
\r\n\r\nGet involved in services: our ongoing projects, team of contributors, open-source libraries and use our data for publications. See some use cases.
\r\n\r\nFollow news about us or the more comprehensive Data & Lyrics blog.
\r\n\r\nContact us .
\r\n\r\nOur data observatory is competing in the EU Datathon 2021. We believe that introducing Open Policy Analysis standards with open data, open-source software and research automation can help the economy that works for people, particulartly the challenge we are focusing on the Single market strategy. Our collaboration is open for individuals, citizens scientists, research institutes, NGOS, companies.
", "title": "Economy Data Observatory" }, "revision_id": 0, "slug": "economy_observatory", "updated": "2021-05-19T21:31:00.943918+00:00" }, { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2021-05-19T15:28:11.714526+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "74b3126a-558f-40a1-b469-7b098181781e", "links": {}, "metadata": { "curation_policy": "We are going to publish here all curated data from the Digital Music Observatory, and we are looking for data related to the topic.
\r\n
\r\n- The data must be tidy, with all observations in rows, and all variables in columns.
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\r\n- If the dataset is not reproducible, we will try to make it reproducible with the author of the submitted dataset.
\r\n
\r\nOur aim is to create datasets that are periodically refreshed, and go through thorough unit testing.
The Digital Music Observatory is a fully automated, open source, open data observatory that links public datasets in order to provide a comprehensive view of the European music industry. The DMO produces key business and policy indicators that enable the growth of music business strategies and national music policies in a way that works both for music lover audiences and the creative enterprises of the sector.
\r\n\r\nIts data pillars are following the structure laid out in the Feasibility study for the establishment of a European Music Observatory:
\r\n\r\nThe Demo Music Observatory Pillars:
\r\n\r\n\r\n\r\n
Music is one of the most data-driven service industries where the majority of sales are already made by AI-driven autonomous systems. The DMO is a fully-functional service that can function as a testing ground of the European Data Strategy
, showcasing the ways in which the music industry is affected by the problems that the Digital Services Act
and the Trustworthy AI
initiatives attempt to regulate. If these policies will work for the European microenterprise-dominated, complex and fragile European music ecosystem, then they are likely to make Europe fit for the digital age. We submit our automated observatory into the EU Datathon 2021 challenge.
We are going to publish here all curated data from the Green Deal Data Observatory, and we are looking for data related to the topic of the European Green Deal policies.
\r\n
\r\n- The data must be tidy, with all observations in rows, and all variables in columns.
\r\n- The data should be clearly described, and if possible, be reproducible with R or Python program code.
\r\n- If the dataset is not reproducible, we will try to make it reproducible with the author of the submitted dataset.
\r\n
Climate change and environmental degradation are an existential threat to Europe and the world. To overcome these challenges, the European Union created the European Green Deal strategic plan. It aims to make the EU’s economy sustainable by turning climate and environmental challenges into opportunities, and making the transition just and inclusive for all.
\r\n\r\nOur data observatory is competing in the EU Datathon 2021. We believe that introducing Open Policy Analysis standards with open data, open-source software and research automation can help the Green Deal policymaking process. Our collaboration is open for individuals, citizens scientists, research institutes, NGOS, companies.
\r\n\r\nGet involved in services: our ongoing projects, team of contributors, open-source libraries and use our data for publications. See some use cases.
", "title": "Green Deal Data Observatory" }, "revision_id": 0, "slug": "greendeal_observatory", "updated": "2022-10-30T16:55:07.933680+00:00" }, { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2021-10-21T08:39:10.550493+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "dc0c647e-028c-4f8b-9dfe-f6cd18d4515a", "links": {}, "metadata": { "curation_policy": "We believe that introducing Open Policy Analysis
standards with open data, open-source software and research automation can help better understanding how creative people and their enterprises and institutions add value to the European economy, how they create jobs, innovate, and increase the well-being of a diverse European society. Our collaboration is open for individuals, citizens scientists. Institutions can join as partners to the Consortium that maintains our observatory.
The creative and cultural sectors and industries
are mainly made of networks of freelancers and microenterprises, with very few medium-sized companies. Their economic performance, problems, and innovation capacities are hidden. Our open collaboration to create this data observatory is committed to change this. Relying on modern data science, the re-use of open governmental data, open science data, and novel harmonized data collection we aim to fill in the gaps left in the official statistics of the European Union.
", "title": "Cultural Creative Sectors Industries Data Observatory" }, "revision_id": 0, "slug": "ccsi", "updated": "2021-10-21T08:39:10.722705+00:00" }, { "access": { "member_policy": "open", "members_visibility": "restricted", "record_policy": "open", "review_policy": "closed", "visibility": "public" }, "children": { "allow": true }, "created": "2022-11-23T15:53:29.436323+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "f0a8b890-f97a-4eb2-9eac-8b8a712d3a6c", "links": {}, "metadata": { "curation_policy": "
The EU Open Research Repository serves as a repository for research outputs (data, software, posters, presentations, publications, etc) which have been funded under an EU research funding programme such as Horizon Europe, Euratom or earlier Framework Programmes.
\nThe community is managed by CERN on behalf of the European Commission.
\nZenodo’s general policies and Terms of Use apply to all content.
\nThe EU Open Research Repository accepts all digital research objects which is a research output stemming from one of EU’s research and innovation funding programmes. The funding programmes currently include:
\nHorizon Europe (including ERC, MSCA), earlier Framework Programmes (eg Horizon 2020) as well as Euratom.
\nIn line with the principle as open as possible, as closed as necessary both public and restricted content is accepted. See note on how Zenodo handles restricted content.
\nEU programme beneficiaries are eligible to submit content to the community. The community supports three types of content submissions:
\nSubmission via an EU Project Community (through user interface or programmatic APIs).
\nSubmission directly to the EU Open Research Repository.
\nAutomated harvesting from existing Zenodo content.
\nA representative of an EU project may request an EU Project Community and invite other project participants as members of the community. The project community is linked to one or more European Commission grants. All records in the project community are automatically integrated into the EU Open Research Repository immediately upon acceptance into the project community.
\nAny user may submit a record directly to the EU Open Research Repository. The submission will be moderated by Zenodo staff for compliance with the minimal required metadata requirements and its correctness.
\nRecords found among Zenodo’s existing content will on a regular basis automatically be integrated if they are found to comply with the requirements. The submissions through this method are integrated into the EU Open Research Repository with delay in a fully automated way.
\nRecords in the EU Open Research Repository are required to comply with the following minimal metadata requirements:
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\nSubjects: Records SHOULD specify one or more fields of science from the European Science Vocabulary.
\nAll submissions will undergo automated curation checks for compliance with the policy. Submissions through project communities are reviewed by the project community. Submission directly to the EU Open Research Repository is reviewed by Zenodo staff.
\nCommunity curators may at any point edit metadata of the records in the community without notice through human or automated processing. The curators may at their sole discretion remove records from the community that are deemed not to comply with the content and curation policy or which are deemed of insufficient quality.
\nThe content and curation policy is subject to change by the community owner at any time and without notice, other than through updating this page.
", "description": "Open repository for EU-funded research outputs from Horizon Europe, Euratom and earlier Framework Programmes.", "organizations": [ { "id": "00k4n6c32" } ], "page": "The EU Open Research Repository is a Zenodo-community dedicated to fostering open science and enhancing the visibility and accessibility of research outputs funded by the European Union. The community is managed by CERN on behalf of the European Commission.
\nThe mission of the repository is to support the implementation of the EU's open science policy, providing a trusted and comprehensive space for researchers to share their research outputs such as data, software, reports, presentations, posters and more. The EU Open Research Repository simplifies the process of complying with open science requirements, ensuring that research outputs from Horizon Europe, Euratom, and earlier Framework Programmes are freely accessible, thereby accelerating scientific discovery and innovation.
\nThe EU Open Research Repository serves as a complementary platform to the Open Research Europe (ORE) publishing platform. Open Research Europe focuses on providing a publishing venue for peer-reviewed articles, ensuring that research meets rigorous academic standards. The EU Open Research Repository provides a space for all the other research outputs including data sets, software, posters, and presentations that are out of scope for ORE. This holistic approach enables researchers to not only publish their findings but also share the underlying data and materials that support their work, fostering transparency and reproducibility in the scientific process.
\nCurrently in its pilot phase and set to be fully operational during autumn 2024, the EU Open Research Repository is constantly evolving. Efforts are committed to integrating cutting-edge features, including automated curation checks and FAIR (Findable, Accessible, Interoperable, and Reusable) assistance, to further support the research community. The goal is to provide researchers with a simple goto solution for making their publicly funded research open and as FAIR as possible.
\nThe EU Open Research Repository is funded by the European Union under grant agreement no. 101122956(HORIZON-ZEN). For more information about the project see https://about.zenodo.org/projects/horizon-zen/.
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