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1,453 results for “Outcome research”
Supplementary material 14 from: Meeus S, Addink W, Agosti D, Arvanitidis C, Balech B, Dillen M, Dimitrova M, González-Aranda JM, Holetschek J, Islam S, Jeppesen TS, Mietchen D, Nicolson N, Penev L, Robertson T, Ruch P, Trekels M, Groom Q (2022) Recommendations for interoperability among infrastructures. Research Ideas and Outcomes 8: e96180. https://doi.org/10.3897/rio.8.e96180
Online participants of the BiCIKL hackathon at Meise Botanic Garden
Supplementary material 2 from: Meeus S, Addink W, Agosti D, Arvanitidis C, Balech B, Dillen M, Dimitrova M, González-Aranda JM, Holetschek J, Islam S, Jeppesen TS, Mietchen D, Nicolson N, Penev L, Robertson T, Ruch P, Trekels M, Groom Q (2022) Recommendations for interoperability among infrastructures. Research Ideas and Outcomes 8: e96180. https://doi.org/10.3897/rio.8.e96180
Hackathon Topic 2
Supplementary material 7 from: Meeus S, Addink W, Agosti D, Arvanitidis C, Balech B, Dillen M, Dimitrova M, González-Aranda JM, Holetschek J, Islam S, Jeppesen TS, Mietchen D, Nicolson N, Penev L, Robertson T, Ruch P, Trekels M, Groom Q (2022) Recommendations for interoperability among infrastructures. Research Ideas and Outcomes 8: e96180. https://doi.org/10.3897/rio.8.e96180
Hackathon Topic 7
Supplementary material 10 from: Meeus S, Addink W, Agosti D, Arvanitidis C, Balech B, Dillen M, Dimitrova M, González-Aranda JM, Holetschek J, Islam S, Jeppesen TS, Mietchen D, Nicolson N, Penev L, Robertson T, Ruch P, Trekels M, Groom Q (2022) Recommendations for interoperability among infrastructures. Research Ideas and Outcomes 8: e96180. https://doi.org/10.3897/rio.8.e96180
Hackathon Topic 10
Supplementary material 6 from: Meeus S, Addink W, Agosti D, Arvanitidis C, Balech B, Dillen M, Dimitrova M, González-Aranda JM, Holetschek J, Islam S, Jeppesen TS, Mietchen D, Nicolson N, Penev L, Robertson T, Ruch P, Trekels M, Groom Q (2022) Recommendations for interoperability among infrastructures. Research Ideas and Outcomes 8: e96180. https://doi.org/10.3897/rio.8.e96180
Hackathon Topic 6
Supplementary material 5 from: Meeus S, Addink W, Agosti D, Arvanitidis C, Balech B, Dillen M, Dimitrova M, González-Aranda JM, Holetschek J, Islam S, Jeppesen TS, Mietchen D, Nicolson N, Penev L, Robertson T, Ruch P, Trekels M, Groom Q (2022) Recommendations for interoperability among infrastructures. Research Ideas and Outcomes 8: e96180. https://doi.org/10.3897/rio.8.e96180
Hackathon Topic 5
Supplementary material 4 from: Meeus S, Addink W, Agosti D, Arvanitidis C, Balech B, Dillen M, Dimitrova M, González-Aranda JM, Holetschek J, Islam S, Jeppesen TS, Mietchen D, Nicolson N, Penev L, Robertson T, Ruch P, Trekels M, Groom Q (2022) Recommendations for interoperability among infrastructures. Research Ideas and Outcomes 8: e96180. https://doi.org/10.3897/rio.8.e96180
Hackathon Topic 4
Supplementary material 9 from: Meeus S, Addink W, Agosti D, Arvanitidis C, Balech B, Dillen M, Dimitrova M, González-Aranda JM, Holetschek J, Islam S, Jeppesen TS, Mietchen D, Nicolson N, Penev L, Robertson T, Ruch P, Trekels M, Groom Q (2022) Recommendations for interoperability among infrastructures. Research Ideas and Outcomes 8: e96180. https://doi.org/10.3897/rio.8.e96180
Hackathon Topic 9
Supplementary material 11 from: Meeus S, Addink W, Agosti D, Arvanitidis C, Balech B, Dillen M, Dimitrova M, González-Aranda JM, Holetschek J, Islam S, Jeppesen TS, Mietchen D, Nicolson N, Penev L, Robertson T, Ruch P, Trekels M, Groom Q (2022) Recommendations for interoperability among infrastructures. Research Ideas and Outcomes 8: e96180. https://doi.org/10.3897/rio.8.e96180
Hackathon Topic 11
Supplementary material 13 from: Hardy H, Livermore L, Kersey P, Norris K, Smith VS (2023) Understanding the users and uses of UK Natural History Collections. Research Ideas and Outcomes 9: e113378. https://doi.org/10.3897/rio.9.e113378
Calculations for key insights
Figure 1 from: Conte M, Flynn AJ, Barrison P, Boisvert P, Landis-Lewis Z, Friedman C (2023) Digital objects to make computable biomedical knowledge FAIR: an infrastructural approach to knowledge representation, dissemination and implementation. Research Ideas and Outcomes 9: e109307. https://doi.org/10.3897/rio.9.e109307
Figure 1 Conceptual model of a Knowledge Object (KO) containing a payload, machine-actionable service and deployment specifications, metadata and a unique persistent identifier. We are exploring aligning our conceptual model with emerging best practices for FAIR Digital Objects. Derived from Wittenburg et al's Digital Objects as Drivers towards Convergence in Data Infrastructures (Wittenburg et al. 2019).
Figure 3 from: Conte M, Flynn AJ, Barrison P, Boisvert P, Landis-Lewis Z, Friedman C (2023) Digital objects to make computable biomedical knowledge FAIR: an infrastructural approach to knowledge representation, dissemination and implementation. Research Ideas and Outcomes 9: e109307. https://doi.org/10.3897/rio.9.e109307
Figure 3 This figure illustrates the dual nature of Knowledge Objects: knowledge-as-resource and knowledge-as-service. A KO can be curated and maintained in a repository, pass metadata to a knowledge graph or deployed into applications. Different to other digital objects, the methods to deploy the KO to applications via custom or generic runtimes called by microservices are built into the KO.
Figure 2 from: Conte M, Flynn AJ, Barrison P, Boisvert P, Landis-Lewis Z, Friedman C (2023) Digital objects to make computable biomedical knowledge FAIR: an infrastructural approach to knowledge representation, dissemination and implementation. Research Ideas and Outcomes 9: e109307. https://doi.org/10.3897/rio.9.e109307
Figure 2 (L) Sample KO as viewed from the KGrid Library, from which the KO can be implemented in a hosted runtime environment or downloaded. (R) Sample output results from deploying the KO.
Figure 5 from: Sambaraju P (2022) Use of Worksheet events in Excel to save solver objective cell value from each iteration. Research Ideas and Outcomes 8: e79006. https://doi.org/10.3897/rio.8.e79006
Figure 5 Plot showing the values of b1, b2 (top) and SSE (bottom) for each iteration during the solver optimization.
Figure 2 from: Lasch KG, Gollner S, Oude Elferink A, Rühs S, Sangiorgi F, van Sebille E, Wang J (2024) Whose Ocean? Exploring multidisciplinary perspectives towards ocean sustainability and implications for the un(der)represented. Research Ideas and Outcomes 10: e114485. https://doi.org/10.3897/rio.10.e114485
Figure 2 Pie charts showing the answer distribution of the 20 interviewees for the three questions of: (a) What does "whose ocean?" mean to you? (b) Who should control the ocean and how can we achieve this? and (c) How can we develop the relationship between humans and the ocean in a sustainable way?
Figure 1 from: Lasch KG, Gollner S, Oude Elferink A, Rühs S, Sangiorgi F, van Sebille E, Wang J (2024) Whose Ocean? Exploring multidisciplinary perspectives towards ocean sustainability and implications for the un(der)represented. Research Ideas and Outcomes 10: e114485. https://doi.org/10.3897/rio.10.e114485
Figure 1 Scheme illustrating the relationship between the ocean and humans: regulating, supporting, provisioning and cultural services of the ocean (green and blue backgrounds); as well as the threats the ocean is experiencing through humanity caused by anthropogenic climate change, overexploitation, habitat destruction and pollution (red background).
Figure 3 from: Koureas D, Livermore L, Addink W, Alonso E, Alonso JM, Casino A, Dusoulier F, Ferreira V, Grieb J, Groom Q, Islam S, Kõljalg U, Lymer G, Marhold K, Paleco C, Pijls S, Scory S, Scott B, Weiland C, Worley K (2024) DiSSCo Transition Abridged Grant Proposal. Research Ideas and Outcomes 10: e118241. https://doi.org/10.3897/rio.10.e118241
Figure 3 A schematic representation of the contributions of the DiSSCo Prepare and DiSSCo Transition Projects towards the optimum level of maturity across all required dimensions for the early-phase implementation of the RI.
Figure 6 from: Koureas D, Livermore L, Addink W, Alonso E, Alonso JM, Casino A, Dusoulier F, Ferreira V, Grieb J, Groom Q, Islam S, Kõljalg U, Lymer G, Marhold K, Paleco C, Pijls S, Scory S, Scott B, Weiland C, Worley K (2024) DiSSCo Transition Abridged Grant Proposal. Research Ideas and Outcomes 10: e118241. https://doi.org/10.3897/rio.10.e118241
Figure 6 Overview of the DiSSCo Data Infrastructure with core infrastructure (DSarch) and end-user service components.
Figure 2 from: Koureas D, Livermore L, Addink W, Alonso E, Alonso JM, Casino A, Dusoulier F, Ferreira V, Grieb J, Groom Q, Islam S, Kõljalg U, Lymer G, Marhold K, Paleco C, Pijls S, Scory S, Scott B, Weiland C, Worley K (2024) DiSSCo Transition Abridged Grant Proposal. Research Ideas and Outcomes 10: e118241. https://doi.org/10.3897/rio.10.e118241
Figure 2 Timeline of DiSSCo development until its implementation (Construction) phase through its new legal entity (ERIC). The Project acts as the bridge between DiSSCo Prepare and the start of the Construction (Implementation) Phase of the ERIC.
Figure 1 from: Koureas D, Livermore L, Addink W, Alonso E, Alonso JM, Casino A, Dusoulier F, Ferreira V, Grieb J, Groom Q, Islam S, Kõljalg U, Lymer G, Marhold K, Paleco C, Pijls S, Scory S, Scott B, Weiland C, Worley K (2024) DiSSCo Transition Abridged Grant Proposal. Research Ideas and Outcomes 10: e118241. https://doi.org/10.3897/rio.10.e118241
Figure 1 Conceptual approach to delivering a distributed infrastructure for European natural science collections.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.
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.
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.