Open Data refers to data that is freely available for anyone to access, use, and share without any restrictions.
This can include data collected by governments, organisations, or individuals, covering a wide range of topics and formats. The goal of Open Data is to promote transparency, collaboration, and innovation by making information easily accessible to the public and allowing for its reuse in various ways.
Meaning researchers and scholars access to a vast array of free datasets, enabling them to conduct thorough analyses without the barriers of subscription fees or paywalls.
By sharing data openly, researchers can provide a clear and detailed account of their methods and findings, allowing others to validate and replicate their work.
Open Data enables researchers to work together easily, combine datasets, and uncover new connections, promoting interdisciplinary research and scholar innovation.
Explore Free Academic Databases, Datasets, and Open Dissertations
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| CERN Open Data Portal | Access point to a growing range of data produced through the research performed at European Organization for Nuclear Research (CERN). It disseminates the preserved output from various research activities and includes accompanying software and documentation needed to understand and analyse the data |
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Data.Gov | Designed to unleash the power of government open data to inform decisions by the public and policymakers, drive innovation and economic activity, achieve agency missions, and strengthen the foundation of an open and transparent government |
DataHub Open Data | Modern data catalog designed to streamline metadata management, data discovery, and data governance enabling users to efficiently explore and understand their data, track data lineage, profile datasets, and establish data contracts and is built for developers to tame the complexity of their rapidly evolving data ecosystems and for data practitioners to leverage the total value of data within their organization |
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Figshare | Provider of open research repository infrastructure to help organisations and researchers share, showcase and manage their research outputs in a discoverable, citable, reportable and transparent way |
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Google Dataset Search | This is a search engine for datasets and by using a simple keyword search, users can discover datasets hosted in thousands of repositories across the web https://datasetsearch.research.google.com/
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Kaggle | Enables machine learners to share, stress test, and stay up-to-date on all the latest machine learning techniques and technologies while discovering a huge repository of community-published models, data & code for your next project |
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Mendeley Data Repository | Free and secure cloud-based communal repository where one can store data, ensuring it is easy to share, access and cite from anywhere |
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re3data | Comprehensive registry of research data repositories that is global and covers all research disciplines and one can discover and deposit datasets that support research such as experimental and simulation data; images, sound, and video; surveys and observations; physical samples; laboratory and clinical trial data; software source code; genomic and geospatial data; and more https://www.re3data.org/ |
