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Figshare is an online open access repository where researchers can preserve and share their research outputs, including figures, datasets, images, and videos. [1] It is free to upload content and free to access, in adherence to the principle of open data.
GitHub repository of the project: Dynatrace This data is not pre-processed AIOps Challenge 2020 Data This data is not pre-processed GitHub repository of the project: Loghub This data is not pre-processed List of repositories: HTML Pages This data is not pre-processed List of HTML pages: Opensift ebooks This data is not pre-processed [409]
The most frequently used repository software for open repositories according to OpenDOAR are Digital Commons, DSpace and EPrints. [6] Other examples are arXiv, bioRxiv, Dryad, Figshare, Open Science Framework, Samvera, Ubiquity Repositories and invenio (solution used by Zenodo).
A United States data item description (DID) is a completed document defining the data deliverables required of a United States Department of Defense contractor. [1] A DID specifically defines the data content, format, and intended use of the data with a primary objective of achieving standardization objectives by the U.S. Department of Defense .
Example of a database that can be used by a data lake (in this case structured data) A data lake is a system or repository of data stored in its natural/raw format, [1] usually object blobs or files. A data lake is usually a single store of data including raw copies of source system data, sensor data, social data etc., [2] and transformed data ...
The terms data dictionary and data repository indicate a more general software utility than a catalogue. A catalogue is closely coupled with the DBMS software. It provides the information stored in it to the user and the DBA, but it is mainly accessed by the various software modules of the DBMS itself, such as DDL and DML compilers, the query optimiser, the transaction processor, report ...
The majority of the listed research data repositories are described in detail by a comprehensive schema, namely the re3data.org Schema for the Description of Research Data Repositories. [6] Information icons support researchers to identify an adequate repository for the storage and reuse of their data. [3]
Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
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