Recap Day 1 & Outlook

Maja Magel

Charlie Pauvert

2024-07-19

Thank you for joining today!

Key points metadata

• Researchers agree on metadata standards and minimal requirements to be able to share and reuse data
• These metadata can be considered as “reliability labels” (Leonelli 2016, 28)
• Describe your datasets using mandatory/ recommended/ optional metadata fields as suggested by community & data repositories
• YOU decide how FAIR your dataset description will be ¹

1. 0-to-20 is already good and better than 0!

Key points ontologies

• Ontologies are a sophisticated “common tongue” to help decontextualize your datasets

• Tools available to find and browse ontologies (OLS, BioPortal)

• Describe the environmental context of your sample using ENVO/ UBERON terms

So much for the legendary courtesy of the Elves! Speak words we can also understand!

Gimli to Haldir

Recap: ENV* metadata descriptions

Metadata field	Abbreviation	Definition	recommended use subclass of
broad-scale environmental context	env_broad_scale	global correlation; ecosystem	biome [ENVO:00000428]
local environmental context	env_local_scale	in local vicinity; causal influences	(UBERON terms accepted)
environmental medium	env_medium	immediate surroundings of your sample during sampling	environmental material [ENVO:00010483]

Edge case? See instructions of using other ontologies with the MIxS standard

Key points environmental metadata

• You successfully presented your dataset
• You improve its description using ontologies
• Especially using environmental metadata fields expected in widely-used data repositories

Something is still unclear?

Something is still unclear?

Ask away please!

Tips!

• Feel free to use the search bar to look up terms used in the slides

• Browse the acronyms and abbreviations table

The program for Day 2

Okay?

References

Leonelli, Sabina. 2016. Data-Centric Biology: A Philosophical Study. Chicago ; London: The University of Chicago Press.