Data Services - Overview

Data Services - Overview

Data services provided by MPCDF: collaborate, transfer, backup, and archive

Basic data services

Sync & Share

Sync & Share

With the increasing prevalence of mobile and hand-held devices cloud-based sync & share solutions are getting more and more popular. People appreciate the convenience of services like Dropbox and expect similar offerings in their work environment. To this end the MPCDF has set up an in-house private storage cloud using the OwnCloud software stack.
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Gitlab

Gitlab

GitLab is a complete DevOps platform, delivered as a single application. The MPCDF GitLab service offers git repository management, code reviews, issue tracking, activity feeds, wikis and more.

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Data Transfer

Data Transfer

DataHub - Globus Online based service for reliable large scale data transfers (ranging into the 10s of TBs). Globus online provides a web portal where users can schedule data transfers between different endpoints (or user-clients), it's fast, reliable and very solid. [documentation]
Data Publication and Metadata Management

Data Publication and Metadata Management

The publication of research data is a complex task. This is due to the heterogenous landscape of storage systems, different sizes of datasets, permission management and further constraints. The MPCDF supports its users by providing tools for metadata management as well as the hosting of discipline specific data repositories.
[documentation]
Backup

Backup

A backup is a copy of data that you have, intended for disaster recovery: if you lose your data because of a hardware or software failure or a user mistake, you can recover the lost data from the backup. The backup is typically done automatically and periodically so that you always have a current copy of your data. In addition, a good backup system will let you recover not only the last version of your files, but also older versions. [documentation]
Archive

Archive

An archive is a collection of data that you want to store somewhere other than your local disk because you currently don't need the data anymore, but you might need it again in the future. Or you might have a legal or contractual requirement to keep certain data for very long periods of time, even if the data belongs to projects which are already finished. An archive is usually done by hand by the user, who must decide what data to archive. For safety, a good archive system will automatically store at least two copies of the archived data. [documentation]
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