Versioned Archive and Review of Biotic Interactions
and Taxon Names Found within globalbioticinteractions/brose
hash://md5/5bf506422ebc34a58a28815058d8cceb
by Nomer, Elton and Preston, three naive review
bots
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 present a review and archiving
process for such an openly accessible digital interactions dataset of
known origin and discuss its outcome. The dataset under review, named
globalbioticinteractions/brose, has fingerprint
hash://md5/5bf506422ebc34a58a28815058d8cceb, is 7.57MiB in size and
contains 16,865 interactions with 4 unique types of associations (e.g.,
preysOn) between 1,016 primary taxa (e.g., Tibellus sp) and 1,086
associated taxa (e.g., Delphacidae). This report includes detailed
summaries of interaction data, a taxonomic review from multiple
catalogs, and an archived version of the dataset from which the reviews
are derived.
Introduction
Data Review and Archive
Data review and archiving can be a time-consuming process, especially
when done manually. This review report aims to help facilitate both
activities. It automates the archiving of datasets, including Darwin
Core archives, and is a citable backup of a version of the dataset.
Additionally, an automatic review of species interaction claims made in
the dataset is generated and registered with Global Biotic Interactions
(J. H. Poelen, Simons,
and Mungall 2014).
This review includes summary statistics about, and observations
about, the dataset under review :
Brose, U. et al., 2005. Body sizes of consumers and their resources.
Ecology, 86(9), pp.2545–2545. Available at:
https://doi.org/10.1890/05-0379.
https://github.com/globalbioticinteractions/brose/archive/a91b5a2371034d5520784e4867dd3c27ce3155bc.zip
2025-10-10T23:17:43.172Z hash://md5/5bf506422ebc34a58a28815058d8cceb
For additional metadata related to this dataset, please visit https://github.com/globalbioticinteractions/brose
and inspect associated metadata files including, but not limited to,
README.md, eml.xml, and/or globi.json.
Methods
The review is performed through programmatic scripts that leverage
tools like Preston (Elliott
et al. 2025), Elton (Kuhn, Poelen, and Leinweber 2025), Nomer
(Salim and Poelen
2025), globinizer (J. Poelen, Seltmann, and Mietchen 2024)
combined with third-party tools like grep, mlr, tail and head.
The review process can be described in the form of the script below
1.
# get versioned copy of the dataset (size approx. 7.57MiB) under review
elton pull globalbioticinteractions/brose
# generate review notes
elton review globalbioticinteractions/brose\
> review.tsv
# export indexed interaction records
elton interactions globalbioticinteractions/brose\
> interactions.tsv
# export names and align them with the Catalogue of Life using Nomer
elton names globalbioticinteractions/brose\
| nomer append col\
> name-alignment.tsv
network diagram showing the taxon family to taxon family interaction
claims in the dataset under review as interpreted by the Catalogue of
Life via Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024)
network diagram showing the taxon kingdom to taxon kingom
interaction claims in the dataset under review as interpreted by the
Catalogue of Life via Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen
2024)
taxonomic names found in the dataset under review aligned with the
Catalogue of Life as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in gzipped comma-separated values format
taxonomic names found in the dataset under review aligned with the
Catalogue of Life as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in gzipped html format
taxonomic names found in the dataset under review aligned with the
Catalogue of Life as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in gzipped tab-separated values format
taxonomic names found in the dataset under review aligned with the
Catalogue of Life as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in Apache Parquet format
taxonomic names found in the dataset under review aligned with
Discover Life bee species checklist as accessed through the Nomer Corpus
of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped
comma-separated values format
taxonomic names found in the dataset under review aligned with
Discover Life bee species checklist as accessed through the Nomer Corpus
of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped
html format
taxonomic names found in the dataset under review aligned with
Discover Life bee species checklist as accessed through the Nomer Corpus
of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped
tab-separated values format
taxonomic names found in the dataset under review aligned with
Discover Life bee species checklist as accessed through the Nomer Corpus
of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in Apache
Parquet format
taxonomic names found in the dataset under review aligned with GBIF
Backbone Taxonomy as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in gzipped comma-separated values format
taxonomic names found in the dataset under review aligned with GBIF
Backbone Taxonomy as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in gzipped html format
taxonomic names found in the dataset under review aligned with GBIF
Backbone Taxonomy as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in gzipped tab-separated values format
taxonomic names found in the dataset under review aligned with GBIF
Backbone Taxonomy as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in Apache Parquet format
taxonomic names found in the dataset under review aligned with
Integrated Taxonomic Information System (ITIS) as accessed through the
Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped
comma-separated values format
taxonomic names found in the dataset under review aligned with
Integrated Taxonomic Information System (ITIS) as accessed through the
Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped
html format
taxonomic names found in the dataset under review aligned with
Integrated Taxonomic Information System (ITIS) as accessed through the
Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped
tab-separated values format
taxonomic names found in the dataset under review aligned with
Integrated Taxonomic Information System (ITIS) as accessed through the
Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in Apache
Parquet format
taxonomic names found in the dataset under review aligned with the
Mammal Diversity Database as accessed through the Nomer Corpus of
Taxonomic Resources (J.
H. (ed. ). Poelen 2024) in gzipped comma-separated values
format
taxonomic names found in the dataset under review aligned with
Mammal Diversity Database as accessed through the Nomer Corpus of
Taxonomic Resources (J.
H. (ed. ). Poelen 2024) in gzipped html format
taxonomic names found in the dataset under review aligned with
Mammal Diversity Database as accessed through the Nomer Corpus of
Taxonomic Resources (J.
H. (ed. ). Poelen 2024) in gzipped tab-separated values
format
taxonomic names found in the dataset under review aligned with
Mammal Diversity Database as accessed through the Nomer Corpus of
Taxonomic Resources (J.
H. (ed. ). Poelen 2024) in Apache Parquet format
taxonomic names found in the dataset under review aligned with the
NCBI Taxonomy as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in gzipped comma-separated values format
taxonomic names found in the dataset under review aligned with the
NCBI Taxonomy as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in gzipped html format
taxonomic names found in the dataset under review aligned with the
NCBI Taxonomy as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in gzipped tab-separated values format
taxonomic names found in the dataset under review aligned with the
NCBI Taxonomy as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in Apache Parquet format
taxonomic names found in the dataset under review aligned with the
Paleobiology Database as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in gzipped comma-separated values format
taxonomic names found in the dataset under review aligned with
Paleobiology Database as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in gzipped html format
taxonomic names found in the dataset under review aligned with
Paleobiology Database as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in gzipped tab-separated values format
taxonomic names found in the dataset under review aligned with
Paleobiology Database as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in Apache Parquet format
taxonomic names found in the dataset under review aligned with the
Terrestrial Parasite Tracker (TPT) Taxonomic Resource as accessed
through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped
comma-separated values format
taxonomic names found in the dataset under review aligned with the
Terrestrial Parasite Tracker (TPT) Taxonomic Resource as accessed
through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped
html format
taxonomic names found in the dataset under review aligned with the
Terrestrial Parasite Tracker (TPT) Taxonomic Resource as accessed
through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped
tab-separated values format
taxonomic names found in the dataset under review aligned with the
Terrestrial Parasite Tracker (TPT) Taxonomic Resource as accessed
through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in Apache
Parquet format
taxonomic names found in the dataset under review aligned with the
World of Flora Online as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in gzipped comma-separated values format
taxonomic names found in the dataset under review aligned with the
World of Flora Online as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in gzipped html format
taxonomic names found in the dataset under review aligned with the
World of Flora Online as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in gzipped tab-separated values format
taxonomic names found in the dataset under review aligned with the
World of Flora Online as accessed through the Nomer Corpus of Taxonomic
Resources (J. H. (ed. ).
Poelen 2024) in Apache Parquet format
taxonomic names found in the dataset under review aligned with the
World Register of Marine Species (WoRMS) as accessed through the Nomer
Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped
comma-separated values format
taxonomic names found in the dataset under review aligned with the
World Register of Marine Species (WoRMS) as accessed through the Nomer
Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped
html format
taxonomic names found in the dataset under review aligned with the
World Register of Marine Species (WoRMS) as accessed through the Nomer
Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped
tab-separated values format
taxonomic names found in the dataset under review aligned with the
World Register of Marine Species (WoRMS) as accessed through the Nomer
Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in Apache
Parquet format
metadata of this review expressed in Zenodo record metadata
Archived Dataset
Note that data.zip file in this
archive contains the complete, unmodified archived dataset under
review.
Biotic Interactions
Biotic Interaction Data
Model
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, named globalbioticinteractions/brose, has
fingerprint hash://md5/5bf506422ebc34a58a28815058d8cceb, is 7.57MiB in
size and contains 16,865 interactions with 4 unique types of
associations (e.g., preysOn) between 1,016 primary taxa (e.g., Tibellus
sp) and 1,086 associated taxa (e.g., Delphacidae).
An exhaustive list of indexed interaction claims can be found in
gzipped csv, tsv and parquet archives. To facilitate
discovery, a preview of claims available in the gzipped html page at indexed-interactions.html.gz are
shown below.
The exhaustive list was used to create the following data summaries
below.
Sample of Indexed Interaction Claims
sourceTaxonName
interactionTypeName
targetTaxonName
referenceCitation
Bacteria
eats
Phytoplankton
Yodzis, P. 1998. Local trophodynamics and the interaction of marine
mammals and fisheries in the Benguela ecosystem. Journal of Animal
Ecology 67:635–658.
Benthic carnivores
preysOn
Benthic filter feeders
Yodzis, P. 1998. Local trophodynamics and the interaction of marine
mammals and fisheries in the Benguela ecosystem. Journal of Animal
Ecology 67:635–658.
Microzooplankton
eats
Phytoplankton
Yodzis, P. 1998. Local trophodynamics and the interaction of marine
mammals and fisheries in the Benguela ecosystem. Journal of Animal
Ecology 67:635–658.
Microzooplankton
eats
Bacteria
Yodzis, P. 1998. Local trophodynamics and the interaction of marine
mammals and fisheries in the Benguela ecosystem. Journal of Animal
Ecology 67:635–658.
Most Frequently Mentioned Interaction Types (up to 20 most
frequent)
interactionTypeName
count
preysOn
15405
eats
1192
parasiteOf
265
pathogenOf
3
Most Frequently Mentioned Primary Taxa (up to 20 most
frequent)
sourceTaxonName
count
Tibellus sp
393
Emberiza schoeniclus
369
Dolomedes sp
349
Staphylinidae
338
Locustella naevia
312
Thomisidae
240
Paederus riparius (L.)
238
Anisoptera
235
Pisaura mirabilis (Clerck, 1757)
231
Sympetrum sp
225
Somatochlora sp
219
Larinioides sp
191
Sympetrum vulgatum (L.)
178
Conocephalus dorsalis (Latr.)
171
Neoscona adianta (Walckenaer, 1802)
165
Salticidae
163
Lesteva sicula (Er.)
147
Sympetrum sanguineum (M�ller)
145
Theridion sp
144
Most Frequently Mentioned Associate Taxa (up to 20 most
frequent)
targetTaxonName
count
Delphacidae
248
Chironomidae
243
Ceratopogonidae
206
Aphidoidea
187
Phytodetritus
179
Jassidae
170
Psychodidae
163
Lepidoptera
159
Sciaridae
156
Muscidae flor
154
Muscidae copro
154
Chloropidae
153
Herina parva (Loew)
140
Ichneumonidae
140
Cicadina
140
Heteroptera
135
Chartoscirta cincta (Herrich-Sch�ffer)
129
Salticidae
125
Ephydridae
122
Most Frequent Interactions between Primary and Associate Taxa
(up to 20 most frequent)
sourceTaxonName
interactionTypeName
targetTaxonName
count
Tibellus sp
preysOn
Tibellus sp
23
Dolomedes sp
preysOn
Chironomidae
14
Dolomedes sp
preysOn
Tibellus sp
13
Staphylinidae
preysOn
Antistea elegans (Blackwall, 1841)
13
Tibellus sp
preysOn
Dolomedes sp
13
Tibellus sp
preysOn
Chironomidae
13
Tibellus sp
preysOn
Muscidae flor
13
Tibellus sp
preysOn
Muscidae copro
13
Tibellus sp
preysOn
Ichneumonidae
13
Tibellus sp
preysOn
Salticidae
12
Tibellus sp
preysOn
Herina parva (Loew)
12
Tibellus sp
preysOn
Lepidoptera
11
Tibellus sp
preysOn
Delphacidae
11
Antistea elegans (Blackwall, 1841)
preysOn
Psychodidae
10
Antistea elegans (Blackwall, 1841)
preysOn
Cicadina
10
Dolomedes sp
preysOn
Oxyloma elegans (Risso)
10
Pisaura mirabilis (Clerck, 1757)
preysOn
Tibellus sp
10
Salticidae
preysOn
Delphacidae
10
Staphylinidae
preysOn
Delphacidae
10
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. It is important to note that
both network graphs were first aligned taxonomically using the Catalogue
of Life. Please refer to the original (or verbatim) taxonomic names for
a more original view on the interaction data.
Interactions on taxonomic kingdom rank as
interpreted by the Catalogue of Life download
svgInteractions on the taxonomic family rank
as interpreted by the Catalogue of Life. download
svg
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, wfo, mdd, tpt,
pbdb, and worms). These alignments can help review name usage or aid in
selecting of a suitable taxonomic name resource.
Sample of Name Alignments
providedName
relationName
resolvedCatalogName
resolvedName
Abatus cavernosus
HAS_ACCEPTED_NAME
col
Abatus cavernosus
Abatus curvidens
HAS_ACCEPTED_NAME
col
Abatus curvidens
Abatus nimrodi
HAS_ACCEPTED_NAME
col
Abatus nimrodi
Abatus nimrodi
SYNONYM_OF
col
Abatus nimrodi
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.
resolvedCatalogName
resolvedRank
count
col
NA
312
col
class
18
col
family
78
col
genus
166
col
gigaclass
1
col
infraorder
2
col
kingdom
3
col
order
29
col
phylum
10
col
species
885
col
subclass
2
col
subfamily
5
col
subgenus
12
col
suborder
5
col
subspecies
10
col
subtribe
3
col
superfamily
4
col
tribe
7
discoverlife
NA
1519
discoverlife
species
1
gbif
NA
205
gbif
class
20
gbif
family
85
gbif
form
1
gbif
genus
196
gbif
kingdom
3
gbif
order
28
gbif
phylum
10
gbif
species
992
gbif
subspecies
9
gbif
variety
2
itis
NA
595
itis
class
18
itis
family
77
itis
genus
147
itis
kingdom
3
itis
order
29
itis
phylum
9
itis
species
611
itis
subclass
6
itis
subfamily
4
itis
suborder
10
itis
subphylum
2
itis
subspecies
6
itis
subtribe
1
itis
superclass
1
itis
superfamily
6
itis
superorder
1
itis
tribe
1
mdd
NA
1519
ncbi
NA
412
ncbi
clade
2
ncbi
class
17
ncbi
cohort
1
ncbi
family
81
ncbi
genus
161
ncbi
infraorder
2
ncbi
kingdom
1
ncbi
order
29
ncbi
phylum
11
ncbi
series
1
ncbi
species
772
ncbi
subclass
5
ncbi
subfamily
8
ncbi
subgenus
9
ncbi
suborder
8
ncbi
subphylum
1
ncbi
subspecies
5
ncbi
superclass
1
ncbi
superfamily
4
ncbi
superkingdom
1
ncbi
tribe
2
ncbi
varietas
1
pbdb
NA
1130
pbdb
class
22
pbdb
family
76
pbdb
genus
99
pbdb
informal
1
pbdb
infraclass
1
pbdb
infraorder
3
pbdb
kingdom
3
pbdb
order
34
pbdb
phylum
13
pbdb
species
119
pbdb
subclass
3
pbdb
subfamily
10
pbdb
suborder
9
pbdb
subtribe
1
pbdb
superclass
1
pbdb
superfamily
4
pbdb
superphylum
1
pbdb
tribe
2
pbdb
unranked clade
7
tpt
NA
1467
tpt
genus
1
tpt
species
51
wfo
NA
1506
wfo
genus
13
worms
NA
676
worms
class
16
worms
family
73
worms
forma
1
worms
genus
116
worms
gigaclass
1
worms
infraorder
1
worms
kingdom
4
worms
order
26
worms
phylum
12
worms
species
578
worms
subclass
5
worms
subfamily
2
worms
suborder
7
worms
subphylum
2
worms
subspecies
3
worms
variety
4
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).
resolvedCatalogName
relationName
count
col
HAS_ACCEPTED_NAME
1201
col
SYNONYM_OF
280
col
NONE
323
discoverlife
NONE
1600
discoverlife
HAS_ACCEPTED_NAME
1
gbif
HAS_ACCEPTED_NAME
1388
gbif
NONE
220
gbif
SYNONYM_OF
346
itis
NONE
609
itis
SYNONYM_OF
99
itis
HAS_ACCEPTED_NAME
919
mdd
NONE
1577
mdd
HAS_ACCEPTED_NAME
20
mdd
SYNONYM_OF
2
ncbi
SAME_AS
1102
ncbi
NONE
426
ncbi
SYNONYM_OF
96
pbdb
NONE
1158
pbdb
SYNONYM_OF
75
pbdb
HAS_ACCEPTED_NAME
448
tpt
NONE
1542
tpt
HAS_ACCEPTED_NAME
55
tpt
SYNONYM_OF
2
wfo
NONE
1583
wfo
HAS_ACCEPTED_NAME
7
wfo
SYNONYM_OF
6
wfo
HAS_UNCHECKED_NAME
3
worms
HAS_ACCEPTED_NAME
806
worms
SYNONYM_OF
163
worms
NONE
698
List of Available Name Alignment Reports
catalog name
alignment results
col
associated names alignments report in gzipped html, csv, and tsv)
ncbi
associated names alignments report in gzipped html, csv, and tsv)
discoverlife
associated names alignments report in gzipped html, csv, and tsv)
gbif
associated names alignments report in gzipped html, csv, and tsv)
itis
associated names alignments report in gzipped html, csv, and tsv)
wfo
associated names alignments report in gzipped html, csv, and tsv)
mdd
associated names alignments report in gzipped html, csv, and tsv)
tpt
associated names alignments report in gzipped html, csv, and tsv)
pbdb
associated names alignments report in gzipped html, csv, and tsv)
worms
associated names alignments report in gzipped html, csv, and tsv)
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.
reviewDate
reviewCommentType
reviewComment
2025-10-13T02:55:53Z
note
Unrecognized token ‘org’: was expecting (JSON String, Number, Array,
Object or token ‘null’, ‘true’ or ‘false’) at [Source:
(String)“org.eol.globi.domain.StudyImpl@27ff5d15”; line: 1, column:
4]
2025-10-13T02:55:53Z
note
Unrecognized token ‘org’: was expecting (JSON String, Number, Array,
Object or token ‘null’, ‘true’ or ‘false’) at [Source:
(String)“org.eol.globi.domain.StudyImpl@1cbb87f3”; line: 1, column:
4]
2025-10-13T02:55:53Z
note
Unrecognized token ‘org’: was expecting (JSON String, Number, Array,
Object or token ‘null’, ‘true’ or ‘false’) at [Source:
(String)“org.eol.globi.domain.StudyImpl@1a4013”; line: 1, column:
4]
2025-10-13T02:55:53Z
note
Unrecognized token ‘org’: was expecting (JSON String, Number, Array,
Object or token ‘null’, ‘true’ or ‘false’) at [Source:
(String)“org.eol.globi.domain.StudyImpl@1b6e1eff”; line: 1, column:
4]
In addition, you can find the most frequently occurring notes in the
table below.
Most frequently occurring review notes, if any.
reviewComment
count
Unrecognized token ‘org’: was expecting (JSON String, Number, Array,
Object or token ‘null’, ‘true’ or ‘false’) at [Source:
(String)“org.eol.globi.domain.StudyImpl@27ff5d15”; line: 1, column:
4]
1
Unrecognized token ‘org’: was expecting (JSON String, Number, Array,
Object or token ‘null’, ‘true’ or ‘false’) at [Source:
(String)“org.eol.globi.domain.StudyImpl@1cbb87f3”; line: 1, column:
4]
1
Unrecognized token ‘org’: was expecting (JSON String, Number, Array,
Object or token ‘null’, ‘true’ or ‘false’) at [Source:
(String)“org.eol.globi.domain.StudyImpl@1a4013”; line: 1, column:
4]
1
Unrecognized token ‘org’: was expecting (JSON String, Number, Array,
Object or token ‘null’, ‘true’ or ‘false’) at [Source:
(String)“org.eol.globi.domain.StudyImpl@1b6e1eff”; line: 1, column:
4]
1
For additional information on review notes, please have a look at the
first 500 Review Notes in html format
or the download full gzipped 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.
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.
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 and archive provides a means of creating citable versions
of datasets that change frequently. This may be useful for dataset
managers, including natural history collection data managers, as a
backup archive of a shared Darwin Core archive. It also serves as a
means of creating a trackable citation for the dataset in an automated
way, while also including some information about the contents of the
dataset.
This review aims to provide a perspective on the dataset to aid in
understanding of species interaction claims discovered. However, it is
important to note that this review does not assess the quality
of the dataset. Instead, it serves as an indication of the open-ness6 and FAIRness (Wilkinson et
al. 2016; Trekels et al. 2023) of the dataset: to perform this
review, the data was likely openly available, Findable,
Accessible, Interoperable and
Reusable. The current Open-FAIR assessment is
qualitative, and a more quantitative approach can be implemented with
specified measurement units.
This report also showcases the reuse of machine-actionable
(meta)data, something highly recommended by the FAIR Data Principles
(Wilkinson et al.
2016). Making (meta)data machine-actionable enables more precise
procesing by computers, enabling even naive review bots like Nomer and
Elton to interpret the data effectively. This capability is crucial for
not just automating the generation of reports, but also for facilitating
seamless data exchanges, promoting interoperability.
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. Also, thanks to https://github.com/zygoballus for helping
improve the layout of the review tables.
Author contributions
Nomer was responsible for name alignments. Elton carried out dataset
extraction, and generated the review notes. Preston tracked, versioned,
and packaged, the dataset under review.
Kuhn, Tobias, and Michel Dumontier. 2014. “Trusty URIs:
Verifiable, Immutable, and Permanent Digital Artifacts for Linked
Data.” In The Semantic Web: Trends and Challenges,
edited by Valentina Presutti, Claudia d’Amato, Fabien Gandon, Mathieu
d’Aquin, Steffen Staab, and Anna Tordai, 395–410. Cham: Springer
International Publishing.
Poelen, Jorrit H. (ed.). 2024. “Nomer Corpus of Taxonomic
Resources Hash://Sha256/
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Hash://Md5/17f1363a277ee0e4ecaf1b91c665e47e.” Zenodo. https://doi.org/10.5281/zenodo.12695629.
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
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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.