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  CaosDB—Research Data Management for complex, changing, and automated research workflows

Fitschen, T., Schlemmer, A., Hornung, D., tom Wörden, H., Parlitz, U., & Luther, S. (2019). CaosDB—Research Data Management for complex, changing, and automated research workflows. Data, 42(2): 83. doi:10.3390/data4020083.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-CA67-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-CA68-5
Genre: Journal Article

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 Creators:
Fitschen, Timm1, Author              
Schlemmer, Alexander1, Author              
Hornung, Daniel, Author
tom Wörden, Henrik, Author
Parlitz, Ulrich1, Author              
Luther, Stefan1, Author              
Affiliations:
1Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063288              

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Free keywords: RDMS; research data management; FAIR; database; ACID
 Abstract: We present CaosDB, a Research Data Management System (RDMS) designed to ensure seamless integration of inhomogeneous data sources and repositories of legacy data in a FAIR way. Its primary purpose is the management of data from biomedical sciences, both from simulations and experiments during the complete research data lifecycle. An RDMS for this domain faces particular challenges: research data arise in huge amounts, from a wide variety of sources, and traverse a highly branched path of further processing. To be accepted by its users, an RDMS must be built around workflows of the scientists and practices and thus support changes in workflow and data structure. Nevertheless, it should encourage and support the development and observation of standards and furthermore facilitate the automation of data acquisition and processing with specialized software. The storage data model of an RDMS must reflect these complexities with appropriate semantics and ontologies while offering simple methods for finding, retrieving, and understanding relevant data. We show how CaosDB responds to these challenges and give an overview of its data model, the CaosDB Server and its easy-to-learn CaosDB Query Language. We briefly discuss the status of the implementation, how we currently use CaosDB, and how we plan to use and extend it.

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Language(s): eng - English
 Dates: 2019-06-102019
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.3390/data4020083
 Degree: -

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Title: Data
Source Genre: Journal
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Publ. Info: -
Pages: 11 Volume / Issue: 42 (2) Sequence Number: 83 Start / End Page: - Identifier: -