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6 results for “information specialists”

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zenodo36/100

Think-aloud tests with information specialists of ai-systems Iris.ai and Yewno (Danish)

<p>This dataset contains the nine think-aloud tests conducted in April-June&nbsp;2021.&nbsp;</p> <p>Think-aloud tests were designed to test the&nbsp;extent an academic search could be conducted&nbsp;in the two AI-powered search systems, Iris.ai (https://Iris.ai/) and&nbsp;Yewno&nbsp;Discover&nbsp;(https://www.yewno.com/discover). Pilot tests and validation tests were undertaken with two independent reviewers in March 2021. The validity tests were based on the principles outlined in Kim 2009, testing the content, face and construct validity of the test instrument (appendix 1). Consequently, the grammar and consistency of the language were improved and questions were reframed before the final think aloud tests were conducted in April-June&nbsp;2021.</p> <p>&nbsp;</p> <p>Ten&nbsp;information specialists&nbsp;were invited to take part in the tests.&nbsp;One test person from the&nbsp;Yewno&nbsp;tests dropped out of the study, resulting in an overall drop-out rate of 10%.&nbsp;Accordingly, five think-aloud tests in Iris.ai and four in&nbsp;Yewno&nbsp;were held at&nbsp;the university libraries in Aarhus and Copenhagen.</p> <p>Two testers ran each test. One conducted the dialogue and guided the test person through the tasks set in the think-aloud test. The second, noted down the test persons behavior,&nbsp;humour&nbsp;and comments.&nbsp;All tests were recorded using Zoom, both audio, and screen were recorded as well as the test persons behaviour was observed. The recordings were saved to&nbsp;Edumedia&nbsp;for the duration of the project and destroyed thereafter.&nbsp;</p>

opencc-by-4.0Aug 2021View details →
zenodo36/100

Librarians and information specialists as methodological peer-reviewers: a case-study of the International Journal of Health Governance. Datasets

<p>Objectives of this study were to analyze the impact of including librarians and information specialist as methodological peer-reviewers, because they can enhance methodologies in evidence synthesis. We sought to determine if and how librarians&rsquo; comments differed from subject peer-reviewers&rsquo;; whether there were differences in the implementation of their recommendations; how this impacted editorial decision-making, and the perceived utility of librarian peer review by librarians and authors. &nbsp;We used a mixed method approach, conducting a qualitative analysis of reviewer reports, author replies and editors&rsquo; decisions of submissions to the International Journal of Health Governance. Our content analysis categorized 16 thematic areas so methodological and subject peer-reviewers&rsquo; comments, decisions and rejection rates could be compared. Categories were based on the standard areas covered in peer-review (e.g., title, originality, etc.) as well as additional in-depth categories relating to the methodology (e.g., search strategy, reporting guidelines, etc.). We developed and used criteria to judge reviewers&rsquo; perspectives and code their comments. Methodological peer-reviewers assessed 13 evidence synthesis manuscripts submitted between September 2020 and March 2023. 55 reviewer reports were collected: 25 from methodological peer-reviewers, 30 from subject peer-reviewers.</p>

opencc-by-4.0Oct 2023View details →
dryad32/100

Bringing Back the Manchester Argus Coenonympha tullia ssp. davus (Fabricius 1777): Quantifying the habitat resource requirements to inform the successful reintroduction of a specialist peatland butterfly

<p>2021-30 has been designated the UN decade of ecosystem restoration.  A landscape scale peatland restoration project is being undertaken on Chat Moss, Greater Manchester, UK, with conservation translocations an important component of this work.  The Manchester Argus Coenonympha tullia ssp. davus, a specialist butterfly of lowland raised bogs in the northwest of England, UK is under threat due to severe habitat loss and degradation.  A species reintroduction was planned for spring 2020.  </p> <p>This study aimed to quantify the resource thresholds for C. tullia, in order to assess potential risks for the project.  Thirteen peatland habitat patches with either recent historic or current C. tullia populations were surveyed for biotic and abiotic factors based on previous qualitative research on the species' requirements.  </p> <p>Percentage cover of two habitat resources were found to be the strongest predictors in models of C. tullia presence: cross-leaved heath Erica tetralix and hair's-tail cotton-sedge Eriophorum vaginatum.  </p> <p>Critical inflection points on logistic regression curves were used to make quantitative estimates of the minimum requirement of each resource for population survival and the near-optimum abundance of each resource.  </p> <p>The results of this study improve our understanding of C. tullia's ecology and the restoration of peatlands for its reintroduction.  Additionally, the method has wider utility for the quantitative assessment of habitat readiness before attempting species reintroductions.</p>

opencc-zeroApr 2022View details →
dryad32/100

Bringing Back the Manchester Argus Coenonympha tullia ssp. davus (Fabricius 1777): Quantifying the habitat resource requirements to inform the successful reintroduction of a specialist peatland butterfly

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publicApr 2022View details →
dryad32/100

Determining oviposition preferences to inform population reinforcement of the specialist chequered blue butterfly (Scolitantides orion)

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publicNov 2024View details →
zenodo28/100

PROBLEMS OF PROFESSIONAL COMPETENCE DEVELOPMENT OF INFORMATION SECURITY OF FUTURE MILITARY SPECIALISTS AND ITS CURRENT STATE

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opencc-by-4.0Mar 2024View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
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Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record