Michael Hanke
0bffdb7141
LVR and HHU are both in Düsseldorf, for example. This should be more stable regarding future extensions.
32 lines
No EOL
1.4 KiB
Markdown
32 lines
No EOL
1.4 KiB
Markdown
---
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title: "DataLad: Data Management Multitool"
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contributors:
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- Michael Hanke
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- Stephan Heunis
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sites:
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- fzj
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topics:
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- datamanagement
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weight: 1000
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---
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{{< lead >}}
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DataLad is a free and open source software for data version control and provenance tracking.
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{{< /lead >}}
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DataLad tracks files, agnostic of data formats or sizes, and provides transport logistics to distribute and retrieve these data - if needed, using encryption and credentials.
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Therefore, it is an ideal tool to manage and publish your own data, or to obtain others shared data.
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While DataLad does not store data, it integrates with various storage services, from local hardware to university infrastructure to commercial cloud provider.
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In addition, it provides utilities for linking datasets, associating them with software containers, and running computationally reproducible data analyses.
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By capturing structured provenance records, DataLad allows to easily rerun and reproducible results.
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[{{< icon "place-marker" >}} Website](https://datalad.org)[{{< icon "document" >}} Docs](https://handbook.datalad.org/) [{{< icon "comment" >}} Support](https://matrix.to/#/%23datalad:matrix.org) [{{< icon "github" >}} GitHub](https://github.com/datalad/datalad)
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An overview of DataLad is also available as an easily digestible leaflet:
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[Download Flyer {{< icon "chevron-down" >}}](/info/flyer-datalad_en.pdf) |