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Record W4292757114 · doi:10.3897/biss.6.93839

Open Source Workshop to Mobilize Marine Biodiversity Data

2022· article· W4292757114 on OpenAlex
Abigail Benson, Matt Biddle, Tylar Murray, Jonathan Pye, Tim van der Stap

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBiodiversity Information Science and Standards · 2022
Typearticle
Language
FieldEnvironmental Science
TopicEnvironmental DNA in Biodiversity Studies
Canadian institutionsOcean Tracking Network
Fundersnot available
KeywordsPython (programming language)Computer scienceToolboxAsynchronous communicationWorld Wide WebSoftware engineeringTelecommunicationsOperating system

Abstract

fetched live from OpenAlex

The 2022 Marine Biological Data Mobilization Workshop was a collaborative effort between Ocean Biodiversity Information System-USA (OBIS-USA), Marine Biodiversity Observation Network, Hakai Institute, Integrated Ocean Observing System, and Ocean Tracking Network, and hosted to promote open data and software in marine biodiversity assessment. The workshop focused on the application of the Darwin Core data standard (Wieczorek et al. 2012) to extant data and the subsequent publication of data to the open access data infrastructures provided by OBIS and the Global Biodiversity Information Facility. The curriculum for this workshop was modeled using The Carpentries evidence-based best practices of teaching. The materials and website are openly available via GitHub and are free for re-use or adaptation under an MIT license. Some unconventional features of the workshop included: Much of the workshop time was allocated to breakout rooms and individual work. The use of concurrent, topical breakout rooms led by instructors in combination with “floating” specialist volunteers. A 100% open and free virtual workshop leveraging synchronous and asynchronous communications technologies including Slack, Zoom, and GitHub. All instructional steps were offered in both Python and R (dual-programming language materials). Much of the workshop time was allocated to breakout rooms and individual work. The use of concurrent, topical breakout rooms led by instructors in combination with “floating” specialist volunteers. A 100% open and free virtual workshop leveraging synchronous and asynchronous communications technologies including Slack, Zoom, and GitHub. All instructional steps were offered in both Python and R (dual-programming language materials). The workshop was attended internationally by 63 participants, with 48 attendees joining the associated Slack group. These new members have been invited to attend a monthly working group organized to address roadblocks to standardization and promote the mobilization of marine biological data. A pre- versus post-survey analysis showed substantial improvement to self-reported data science skill levels, a multitude of positive feedback was reported, and the workshop scored a perfect 100% standard Net Promoter Score (Reichheld 2003) with 16 “promoters”, 0 “detractors”, and a total of 25 respondents.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Open science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0130.004
Scholarly communication0.0020.014
Open science0.0090.146
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0180.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.047
GPT teacher head0.278
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it