modif slide : "Data storage : reminder of the context and the issues"

biodiversitydata · Nov 8, 2024 · c9cccf4 · c9cccf4
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 ## Data storage : reminder of the context and the issues
 
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-**Heterogeneity (data types, origin, standards) &<br/>Diversity of "objects" to be linked together**[^2]
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-**Loss of information over time**[^3]
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-[^2]: [Page (2016)](https://riojournal.com/article/8767)
-[^3]: [Michener _et al._ (1997)](https://doi.org/10.1890/1051-0761(1997)007[0330:NMFTES]2.0.CO;2)
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-## Data storage : reminder of the context and the issues
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-> Computational reproducibility frequently refers to the ability to generate equivalent analytical outcomes from the same data set using the same code and software[^4].
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-> [...] all raw data and metadata, code, programming scripts, and bespoke software necessary for fully replicating any analyses that lead to inferences made in a published study[^5].
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-[^4]: [Powers & Hampton (2018)](https://doi.org/10.1002/eap.1822)
-[^5]: [Genkins _et al._ (2016)](https://doi.org/10.1002/ece3.9961)
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-## Data storage : reminder of the context and the issues
+- **Heterogeneity** (data types, origin, standards) & **diversity** of "objects" to be linked together[^2]
+- **Loss of information** over time[^3]
+- Toward a better **open science** and **reproducibility** [^4] [^5]
 
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 ![](images/image_DataInformationknowledgeHumanities.jpg){width=100%}
 
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+[^2]: [Page (2016)](https://riojournal.com/article/8767)
+[^3]: [Michener _et al._ (1997)](https://doi.org/10.1890/1051-0761(1997)007[0330:NMFTES]2.0.CO;2)
+[^4]: [Powers & Hampton (2018)](https://doi.org/10.1002/eap.1822)
+[^5]: [Genkins _et al._ (2016)](https://doi.org/10.1002/ece3.9961)
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 ## Data storage : Hot *versus* cold data storage