A Review of Biotic Interactions and Taxon Names Found in globalbioticinteractions/varassin2023

by Nomer and Elton, two naive review bots

[email protected]

https://globalbioticinteractions.org/contribute

https://github.com/globalbioticinteractions/varassin2023/issues

2023-12-19

Abstract

Life on earth is sustained by complex interactions between organisms and their environment. These biotic interactions can be captured in datasets and published digitally. We describe a review process of such an openly accessible digital interaction datasets of known origin, and discuss their outcome. The dataset under review (aka globalbioticinteractions/varassin2023) has size 0.00 B and contains 0 interactions with 0 (e.g., ) unique types of associations between 0 primary taxa (e.g., ) and 0 associated taxa (e.g., ). The report includes detailed summaries of interactions data as well as a taxonomic review from multiple perspectives.

Introduction

Data Review

Data review can be a time consuming process, especially when done manually. This review report aims to help facilitate data review of species interaction claims made in datasets registered with Global Biotic Interactions (Poelen, Simons, and Mungall 2014). The review includes summary statistics of, and observations about, the dataset under review:

Methods

The review is performed through programmatic scripts that leverage tools like Preston, Elton, Nomer combined with third-party tools like grep, mlr, tail and head.

Tools used in this review process
tool name version
elton 0.13.2
nomer 0.5.6
mlr 6.0.0
pandoc 3.1.6.1

The review process can be described in the form of the script below 1.

# get versioned copy of the dataset (size approx. 0.00 B) under review 
elton pull globalbioticinteractions/varassin2023

# generate review notes
elton review globalbioticinteractions/varassin2023\
 > review.tsv

# export indexed interaction records
elton interactions globalbioticinteractions/varassin2023\
 > interactions.tsv

# export names and align them with the Catalogue of Life using Nomer 
elton names globalbioticinteractions/varassin2023\
 | nomer append col\
 > name-alignment.tsv

or visually, in a process diagram.

review origin dataset origin elton Elton (a naive review bot) elton->origin pull (1) interactions indexed interactions elton->interactions generates (2) alignment name alignments nomer Nomer (a naive review bot) nomer->interactions extract names (3) nomer->alignment generates (5) catalog name catalog nomer->catalog uses (4)

You can find a recent copy of the full review script at check-data.sh.

Results

In the following sections, the results of the review are summarized 2. Then, links to the detailed review reports are provided.

Biotic Interactions

model primaryTaxon Primary Taxon associatedTaxon Associated Taxon primaryOrganism Primary Organism primaryOrganism->primaryTaxon classifiedAs associatedOrganism Associated Organism primaryOrganism->associatedOrganism interactsWith associatedOrganism->associatedTaxon classifiedAs

In this review, biotic interactions (or biotic associations) are modeled as a primary (aka subject, source) organism interacting with an associate (aka object, target) organism. The dataset under review classified the primary/associate organisms with specific taxa. The primary and associate organisms The kind of interaction is documented as an interaction type.

The dataset under review (aka globalbioticinteractions/varassin2023) has size 0.00 B and contains 0 interactions with 0 (e.g., ) unique types of associations between 0 primary taxa (e.g., ) and 0 associated taxa (e.g., ).

An exhaustive list of indexed interaction claims can be found in csv and tsv archives. To facilitate discovery, the first 500 claims available on the html page at indexed-interactions.html.

The exhaustive list was used to create the following data summaries below.

: Sample of Indexed Interaction Claims

: Most Frequently Mentioned Interaction Types (up to 20 most frequent)

: Most Frequently Mentioned Primary Taxa (up to 20 most frequent)

: Most Frequently Mentioned Associate Taxa (up to 20 most frequent)

: Most Frequent Interactions between Primary and Associate Taxa (up to 20 most frequent)

Interaction Networks

The figures below provide a graph view on the dataset under review. The first shows a summary network on the kingdom level, and the second shows how interactions on the family level. Note that both network graphs were first aligned taxonomically via the Catalogue of Life. Please refer to the original (or verbatim) taxonomic names for a more original view on the interaction data.

interactions

You can download the indexed dataset under review at indexed-interactions.csv. A tab-separated file can be found at indexed-interactions.tsv

Learn more about the structure of this download at GloBI website, by opening a GitHub issue, or by sending an email.

Another way to discover the dataset under review is by searching for it on the GloBI website.

Taxonomic Alignment

As part of the review, all names are aligned against various name catalogs (e.g., col ncbi discoverlife gbif itis globi mdd tpt pbdb). These alignments may serve as a way to review name usage or aid in selecting of a suitable taxonomic name resource to use.

: Sample of Name Alignments

: Distribution of Taxonomic Ranks of Aligned Names by Catalog. Names that were not aligned with a catalog are counted as NAs. So, the total number of unaligned names for a catalog will be listed in their NA row.

Name relationship types per catalog. Name relationship type “NONE” means that a name was not recognized by the associated catalog. “SAME_AS” indicates either a “HAS_ACCEPTED_NAME” or “SYNONYM_OF” name relationship type. We recognize that “SYNONYM_OF” encompasses many types of nomenclatural synonymies (ICZN 1999) (e.g., junior synonym, senior synonyms).
catalog name alignment results
col associated names alignments (first 500, full csv/tsv)
ncbi associated names alignments (first 500, full csv/tsv)
discoverlife associated names alignments (first 500, full csv/tsv)
gbif associated names alignments (first 500, full csv/tsv)
itis associated names alignments (first 500, full csv/tsv)
globi associated names alignments (first 500, full csv/tsv)
mdd associated names alignments (first 500, full csv/tsv)
tpt associated names alignments (first 500, full csv/tsv)
pbdb associated names alignments (first 500, full csv/tsv)

: List of Available Name Alignment Reports

Additional Reviews

Elton, Nomer, and other tools may have difficulties interpreting existing species interaction datasets. Or, they may misbehave, or otherwise show unexpected behavior. As part of the review process, detailed review notes are kept that document possibly misbehaving, or confused, review bots. An sample of review notes associated with this review can be found below.






: First few lines in the review notes.

In addtion, you can find the most frequently occurring notes in the table below.

: Most frequently occurring review notes, if any.

For addition information on review notes, please have a look at the first 500 Review Notes or the download full csv or tsv archives.

GloBI Review Badge

As part of the review, a review badge is generated. This review badge can be included in webpages to indicate the review status of the dataset under review.

review review 💬 💬

Note that if the badge is green, no review notes were generated. If the badge is yellow, the review bots may need some help with interpreting the species interaction data.

GloBI Index Badge

If the dataset under review has been registered with GloBI, and has been succesfully indexed by GloBI, the GloBI Index Status Badge will turn green. This means that the dataset under review was indexed by GloBI and is available through GloBI services and derived data products.

Sample of a GloBI Index Badge

If you’d like to keep track of reviews or index status of the dataset under review, please visit GloBI’s dataset index 5 for badge examples.

Discussion

This review is intended to provide a perspective on the dataset to aid understanding of species interaction claims discovered. However, this review should not be considered as fitness of use or other kind of quality assessment. Instead, the review may be used as in indication of the open-ness6 and FAIRness (Wilkinson et al. 2016; Trekels et al. 2023) of the dataset: in order to perform this review, the data was likely openly available, Findable, Accessible, Interoperable and Reusable. Currently, this Open-FAIR assessment is qualitative, and with measurement units specified, a more quantitative approach can be implemented.

Acknowledgements

We thank the many humans that created us and those who created and maintained the data, software and other intellectual resources that were used for producing this review. In addition, we are grateful for the natural resources providing the basis for these human and bot activities.

References

ICZN. 1999. “International Code of Zoological Nomenclature.” The International Trust for Zoological Nomenclature, London, UK. https://www.iczn.org/the-code/the-code-online/.
Poelen, Jorrit H., James D. Simons, and Chris J. Mungall. 2014. “Global Biotic Interactions: An Open Infrastructure to Share and Analyze Species-Interaction Datasets.” Ecological Informatics 24 (November): 148–59. https://doi.org/10.1016/j.ecoinf.2014.08.005.
Trekels, Maarten, Debora Pignatari Drucker, José Augusto Salim, Jeff Ollerton, Jorrit Poelen, Filipi Miranda Soares, Max Rünzel, Muo Kasina, Quentin Groom, and Mariano Devoto. 2023. WorldFAIR Project (D10.1) Agriculture-related pollinator data standards use cases report.” Zenodo. https://doi.org/10.5281/zenodo.8176978.
Wilkinson, Mark D., Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, et al. 2016. “The FAIR Guiding Principles for Scientific Data Management and Stewardship.” Scientific Data 3 (1). https://doi.org/10.1038/sdata.2016.18.