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LIPID MAPS

SpectraCompounds and reactions

LIPID Metabolites And Pathways Strategy (LIPID MAPS®) is a multi-institutional supported website and database that provides access to a large number of globally used lipidomics resources. LIPID MAPS® has internationally led the field of lipid curation, classification, and nomenclature since 2003. We strive to produce new open-access databases, informatics tools and lipidomics-focused training activities will be generated and made publicly available for researchers studying lipids in health and disease. LIPID MAPS® is currently funded by a multi-institutional grant from Wellcome, held jointly by Cardiff University, University of California San Diego, the Babraham Institute Cambridge, and Swansea University, as well as an Innovation Study funded by ELIXIR. This current phase will see that LIPID MAPS® is maintained and importantly, further developed in line with the global demand and development of lipidomics. LIPID MAPS® has an internationally recognized classification system and the largest curated lipid structure database in the world.

Website
Record in FAIRsharing (doi:10.25504/FAIRsharing.cpneh8)
Subjects: Biomedical Science, Endocrinology, Life Science, Metabolomics, Omics, Systems Biology

Documentation, events and training

bio.tools API and tool documentation

LIPID MAPS (same name)

TeSS Training materials (5)

TeSS Events (1)

LIPID MAPS Spring School 2021-04-12

What is known per question

The questions of the decision tree, with what FAIRsharing says about this repository. ✓ supported, ✗ excluded, ? not known.

What kind of data do you want to archive?

✓ Spectra
? Crystal structures
? Computational chemistry
? Catalysis
✓ Compounds and reactions
? Bioassays and chemical biology
? Materials and polymers
? Images and microscopy
? Something else

Subjects: Biomedical Science; Endocrinology; Life Science; Metabolomics; Omics; Systems Biology

Domains: Data analysis; Mass spectrum; Taxonomic classification; lipid; small molecule; structure

Does the journal or publisher you publish with require or recommend a repository?

? Yes
? No
? I do not know

FAIRsharing has no information on this.

Which discipline does your data belong to?

FAIRsharing has no information on this.

Which publisher?

FAIRsharing has no information on this.

Does your funder have requirements for where data is archived?

? Yes
? No
? I do not know

FAIRsharing has no information on this.

Which funder?

FAIRsharing has no information on this.

Does your institution offer a data repository?

? Yes
? No
? I do not know

FAIRsharing has no information on this.

Which institution?

FAIRsharing has no information on this.

Can your data be shared openly?

✓ Yes, openly available
? Yes, after an embargo
✗ Only with restrictions

Data access: open

Data deposition: open

How large is your dataset?

? Less than 1 GB
? 1 GB to 50 GB
? 50 GB to 1 TB
? More than 1 TB

FAIRsharing has no information on this.

Why can the data not be open?

? It contains personal data
? Commercial or intellectual property reasons
? Safety or security concerns
? A data sharing agreement limits it

FAIRsharing has no information on this.

Under which license do you want to share the data?

? CC0 / public domain
? CC BY
? Another open license
? Not decided yet

Licences: Open Data Commons Public Domain Dedication & License (PDDL) v1.0; LIPID MAPS Terms of Use

Do you need a persistent identifier, such as a DOI, for citing the data?

? Yes, a DOI
? Any persistent identifier will do
? No

FAIRsharing has no information on this.

Must the data be stored in a specific region?

✗ In the European Union
? In a specific country
✓ No preference

Country: United Kingdom; United States

Must archiving be free of charge?

? Yes, free only
? A fee is fine

FAIRsharing has no information on this.

Which country?

✓ 2 of 15 in the list ✗ excludes 13

Country: United Kingdom; United States