requirements:archiving:index
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//Long-term archiving of (raw) data and routines// | //Long-term archiving of (raw) data and routines// | ||
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- | * Archiving should last for decades -- a problem | + | <WRAP column 32px> |
- | * Together with the (raw) data, processing | + | <WRAP column 85%> |
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+ | * Archiving should last for decades -- a problem yet to be solved by archivars. | ||
+ | * Processing | ||
* Long-term storage requires open formats and well-developed strategies. | * Long-term storage requires open formats and well-developed strategies. | ||
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+ | </ | ||
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+ | The most basic prerequisite of any reproducibility is **access to the original data**. While lab notebooks are still used for part of this, nowadays, usually the huge majority of data is obtained in digital form and stored electronically in some or other way. | ||
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+ | While well-crafted books can last for centuries if handled and stored correctly, the average lab notebook will barely physically survive more than a few decades, let alone being archived properly. With the advent of data-driven science in most disciplines, | ||
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+ | Furthermore, | ||
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+ | Nearly all data need to be processed and analysed in order to get insight and draw conclusions. Therefore, not only the data and accompanying metadata need to be archived, but as well both, the **routines used to process** and analyse these data and the complete **information of each individual processing and analysis step**. The latter are add another level of metadata. For details, see the requirements section on [[..: | ||
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+ | Taken together, long-term archiving data that form the basis of empirical science requires both, **open formats** as well as **well-developed strategies** and established routines. | ||
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requirements/archiving/index.1601201260.txt.gz · Last modified: 2020/09/27 12:07 by till