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60 results for “research culture”
Data from: Research culture: a survey of travel behaviour among scientists in Germany and the potential for change
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Figure 4 from: Prieß-Buchheit J, Aro AR, Demirova I, Lanzerath D, Stoev P, Wilder N (2020) Rotatory role-playing and role-models to enhance the research integrity culture. Research Ideas and Outcomes 6: e53921. https://doi.org/10.3897/rio.6.e53921
Figure 4 Quotes from Pierre Curie (2012) Marie Curie: With Autobiographical Notes by Marie Curie, Dover Publication: Mineola New York, p.70 and Russell, Bertrand (2004) History of Western Philosophy, London, p.864. Figures designed by Freepik from www.flaticon.com.
Figure 6 from: Altenhöner R, Blümel I, Boehm F, Bove J, Bicher K, Bracht C, Brand O, Dieckmann L, Effinger M, Hagener M, Hammes A, Heller L, Kailus A, Kohle H, Ludwig J, Münzmay A, Pittroff S, Razum M, Röwenstrunk D, Sack H, Simon H, Schmidt D, Schrade T, Walzel A-V, Wiermann B (2020) NFDI4Culture - Consortium for research data on material and immaterial cultural heritage. Research Ideas and Outcomes 6: e57036. https://doi.org/10.3897/rio.6.e57036
Figure 6 Multimodal data types. Example 1: Motion Bank, Example 2: Digital Mozart Score Viewer, Example 3: Inscriptions in their Spatial Context (IBR).
diggr - Datadriven Approaches Towards Researching Videogame Culture
<p>2<sup>nd</sup> Project Presentation</p>
Supplementary material 4 from: Garcia Rodrigues J, Conides A, Rivero Rodriguez S, Raicevich S, Pita P, Kleisner K, Pita C, Lopes P, Alonso Roldán V, Ramos S, Klaoudatos D, Outeiro L, Armstrong C, Teneva L, Stefanski S, Böhnke-Henrichs A, Kruse M, Lillebø A, Bennett E, Belgrano A, Murillas A, Sousa Pinto I, Burkhard B, Villasante S (2017) Marine and Coastal Cultural Ecosystem Services: knowledge gaps and research priorities. One Ecosystem 2: e12290. https://doi.org/10.3897/oneeco.2.e12290
Overview of the methods and indicators used to assess marine and coastal CES
Supplementary material 3 from: Garcia Rodrigues J, Conides A, Rivero Rodriguez S, Raicevich S, Pita P, Kleisner K, Pita C, Lopes P, Alonso Roldán V, Ramos S, Klaoudatos D, Outeiro L, Armstrong C, Teneva L, Stefanski S, Böhnke-Henrichs A, Kruse M, Lillebø A, Bennett E, Belgrano A, Murillas A, Sousa Pinto I, Burkhard B, Villasante S (2017) Marine and Coastal Cultural Ecosystem Services: knowledge gaps and research priorities. One Ecosystem 2: e12290. https://doi.org/10.3897/oneeco.2.e12290
List of papers included in the literature synthesis
Supplementary material 1 from: Garcia Rodrigues J, Conides A, Rivero Rodriguez S, Raicevich S, Pita P, Kleisner K, Pita C, Lopes P, Alonso Roldán V, Ramos S, Klaoudatos D, Outeiro L, Armstrong C, Teneva L, Stefanski S, Böhnke-Henrichs A, Kruse M, Lillebø A, Bennett E, Belgrano A, Murillas A, Sousa Pinto I, Burkhard B, Villasante S (2017) Marine and Coastal Cultural Ecosystem Services: knowledge gaps and research priorities. One Ecosystem 2: e12290. https://doi.org/10.3897/oneeco.2.e12290
PRISMA checklist
Figure 2 from: Neylon C (2017) Compliance Culture or Culture Change? The role of funders in improving data management and sharing practice amongst researchers. Research Ideas and Outcomes 3: e14673. https://doi.org/10.3897/rio.3.e14673
Figure 2 - The core issues and principles that a Research Data Management policy should address, adapted from Hodson and Molloy 2015
Figure 1 from: Neylon C (2017) Compliance Culture or Culture Change? The role of funders in improving data management and sharing practice amongst researchers. Research Ideas and Outcomes 3: e14673. https://doi.org/10.3897/rio.3.e14673
Figure 1 - Illustration of the categories through which many research data management and sharing policies develop, with examples of the language used.
Figure 2 from: Neylon C (2017) Building a Culture of Data Sharing: Policy Design and Implementation for Research Data Management in Development Research. Research Ideas and Outcomes 3: e21773. https://doi.org/10.3897/rio.3.e21773
Figure 2 - The Cultural Science model of Hartley and Potts (2014).The co-creation of culture and group in the context of an external environment.
Figure 2 from: Neylon C (2017) Compliance Culture or Culture Change? The role of funders in improving data management and sharing practice amongst researchers. Research Ideas and Outcomes 3: e21705. https://doi.org/10.3897/rio.3.e21705
Figure 2 - The core issues and principles that a Research Data Management policy should address, adapted from Hodson and Molloy (2015)
Figure 1 from: Neylon C (2017) Compliance Culture or Culture Change? The role of funders in improving data management and sharing practice amongst researchers. Research Ideas and Outcomes 3: e21705. https://doi.org/10.3897/rio.3.e21705
Figure 1 - Illustration of the categories through which many research data management and sharing policies develop, with examples of the language used.
Figure 1 from: Costa da Silva R, Sufi S, Aragon Camarasa S (2019) Collaborations Workshop 2018 (CW18) Report – Culture Change, Productivity and Sustainability. Research Ideas and Outcomes 5: e30250. https://doi.org/10.3897/rio.5.e30250
Figure 1 "Such collaboration helps the work spread" slide from John Hammerley's presentation during Collaborations Workshop 2018.
Figure 4 from: Costa da Silva R, Sufi S, Aragon Camarasa S (2019) Collaborations Workshop 2018 (CW18) Report – Culture Change, Productivity and Sustainability. Research Ideas and Outcomes 5: e30250. https://doi.org/10.3897/rio.5.e30250
Figure 4 gov.uk report pipeline slide from Matthew Upson's presentation during Collaborations Workshop 2018.
Figure 3 from: Costa da Silva R, Sufi S, Aragon Camarasa S (2019) Collaborations Workshop 2018 (CW18) Report – Culture Change, Productivity and Sustainability. Research Ideas and Outcomes 5: e30250. https://doi.org/10.3897/rio.5.e30250
Figure 3 Data presentation in spreadsheets slide from Naomi Penfold's presentation during Collaborations Workshop 2018.
Figure 2 from: Costa da Silva R, Sufi S, Aragon Camarasa S (2019) Collaborations Workshop 2018 (CW18) Report – Culture Change, Productivity and Sustainability. Research Ideas and Outcomes 5: e30250. https://doi.org/10.3897/rio.5.e30250
Figure 2 WSSSPE5.1 speed blog mapped slide from Daniel S. Katz's presentation during Collaborations Workshop 2018.
Supplementary material 5 from: Neill AM, O`Donoghue C, Stout JC (2023) Spatial analysis of cultural ecosystem services using data from social media: A guide to model selection for research and practice. One Ecosystem 8: e95685. https://doi.org/10.3897/oneeco.8.e95685
MaxEnt Supplementary Info
Supplementary material 4 from: Neill AM, O`Donoghue C, Stout JC (2023) Spatial analysis of cultural ecosystem services using data from social media: A guide to model selection for research and practice. One Ecosystem 8: e95685. https://doi.org/10.3897/oneeco.8.e95685
Moran's I Correlograms
Supplementary material 3 from: Neill AM, O`Donoghue C, Stout JC (2023) Spatial analysis of cultural ecosystem services using data from social media: A guide to model selection for research and practice. One Ecosystem 8: e95685. https://doi.org/10.3897/oneeco.8.e95685
Sampled PUD occurrence
Supplementary material 2 from: Neill AM, O`Donoghue C, Stout JC (2023) Spatial analysis of cultural ecosystem services using data from social media: A guide to model selection for research and practice. One Ecosystem 8: e95685. https://doi.org/10.3897/oneeco.8.e95685
InVEST model configuration
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.