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The Open data movement calls for data that can be freely shared and used, and promotes greater accountability and transparency in research practice and communication.
Academic journals increasingly require authors to share the datasets associated with their research findings.
Funding bodies may also require that grant recipients openly publish datasets from their funded studies.
Many governments worldwide practice open data practices and allow for the reuse of the data collected by government agencies.
Datasets as part of research projects may include quantitative data in the form of spreadsheets, tables or databases, or qualitative data, for example, notes, videos or images.
Datasets allow you to analyze or replicate the results of a study, or, may be used to support new research questions and hypothesis.
Available datasets should be evaluated in terms of authority or provenance of the source (for example, government, university, or organization); comprehensiveness of metadata (description of the data); and size of data relevant to a new study.
Datasets should only be re-used according to the conditions set by the copyright owner. Re-use may require permission from the data owner, or the approval from a research body.
Datasets are hosted in different type of repositories including universities, research organizations hand/or discipline-specific repositories.
A repository hosted by CERN that allows researchers from all fields to upload data in all formats for private use or public sharing.
How to cite Datasets
G.R. Brakenridge, Global Active Archive of Large Flood Events. (September 2, 2019). Distributed by Dartmouth Flood Observatory, University of Colorado. Accessed: November 21, 2020. [Online]. Available: http://floodobservatory.colorado.edu/Archives/index.html
R. Knutti, IPC Working Group I AR5 Snapshot: The RCP85 Experiment. (September 20, 2014). Distributed by World Data Center for Climate (WDCC) at KDRZ. doi: 10.1594/WDCC/ETHr8.
Dimensions is a linked research knowledge system developed by Digital Science in collaboration with over 100 leading research organizations around the world, Free version of Dimensions links publications to datasets and includes alternative metrics.
ACM articles include different articles or digital objects either created by the authors to be used as part of the study or generated by the experiment itself. For example, artifacts can be software systems, scripts used to run experiments, input datasets, raw data collected in the experiment, or scripts used to analyze results.
The platform offers free uploads of any dataset up to 2TB for those that need to retain and manage their valuable research data and it offers free access to the datasets on IEEE DataPort. The platform currently has over 670,000 global users and over 1,500 datasets and continues to provide value to researchers around the globe.
A collection of free datasets from Microsoft Research to advance state-of-the-art research in areas such as natural language processing, computer vision, and domain specific sciences. Download or copy directly to a cloud-based Data Science Virtual Machine for a seamless development experience.