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12 results for “interdisciplinary research”
Funding programmes for interdisciplinary research
<p>Data set with 127 funding programmes for interdisciplinary research. Table summary (excel) and documents (pdfs).<br> <br> This data set covers funding opportunities to support interdisciplinarity (and other forms of crossdisciplinary research) in Europe and North America. The data has been collected in two rounds. The first round was between November 2018 and February 2019, and the second January–February 2022. Data set covers funding opportunities from both public and private sources, and all scholarly disciplines in both STEM and SSH. The database covered all Pan-European funding and national data sets from Australia, Canada, Denmark, Finland, Ireland, the Netherlands, New Zealand, Nigeria, South Africa, Sweden and the United Kingdom.</p> <p>I collected the guidelines for applicants from each of the funding programmes selected. These were usually in PDF format, and are included in this file. I used the data set to analyse the role of social sciences and humanities in interdisciplinary research. This study will be published in Social Epistemology. This article has more information about data collection and data analysis.<br> <br> If you wish to use this data set for further research, please cite this repository file. If you wish to know more about the study, I am happy to provide details. You can reach me via email, anita.valikangas@gmail.com .<br> <br> Best wishes,<br> Anita Välikangas</p> <p> </p>
Identifying Interdisciplinary Research in Research Projects
<p>The dataset is based on the paper: </p> <p>Hoang-Son Pham, Bram Vancraeynest, Hanne Poelmans, Sadia Vancauwenbergh and Amr Ali-Eldin ‘’Identifying Interdisciplinary Research in Research Projects’’, Scientometrics (Accepted).</p> <p>The dataset includes: </p> <p>1. FRIS_project_2019: a list of project metadata extracted from FRIS portal</p> <p>2. VODS_disciplines: a list of VODS disciplines</p> <p>3. Distance matrix: Distance matrix</p> <p> </p> <p>* Kindly refer to our paper for more details on the dataset.</p>
Interdisciplinary Research Roude & Stuelke 2018
This is a Grapefruit scanned by Dr. Satre Stuelke in an Innovative Interdisciplinary Research with DI Jessica Roude. DI Roude & Dr Suelke - 2018 / "Inside a Grapefruit" Inside/Outside 3D Scanner. **CONTACTS Jéssica Roude - Argentina - Italy www.jessicaroude.com www.instagram.com/jessica_roude/ Satre Stuelke, MD, MFA, USA www.radiologyart.com www.SATResearch.com www.satre.or**g ------------------------------------------------------------- Art Inspiration: POMELO ROCK **POMELO ROCK : NATURALEZA MUERTA ** Obra 3D Interactiva en formato Realidad Virtual.** Realizada a partir de la intervención digital de una Tomografía Computarizada de una fruta de Pomelo Rosado. Se utilizó como técnica: Collage 3D de Softwares y Renderizado Digital con un formato de visualización de Realidad Virtual. Source: Objaverse 1.0 / Sketchfab
Community Maturation Matrix (Illustration): Professionalising Community Management Roles in Interdisciplinary Research Projects
<p>Figure 1 (.jpg) file, editable version (.pptx) and supplementary 1 (.xlsx) for the research article: Professionalising Community Management Roles in Interdisciplinary Research Projects (July, 2024)</p> <p>Figure 1: Community Maturation Indicator: This is a framework through which maturation status for a community can be indicated at any given time as “Level of Community Participation” and “Stage of Community Building”. The Levels of Community Participation is shown in the x-axis (spanning 6 levels): Level 1: Inform Community, Level 2: Invite Feedback, Level 3: Engage and Involve, Level 4: Mobilise and Connect, Level 5: Empower Groups, and Level 6: Decentralise Power. The Stages of Community Building are shown as y-axis (spanning 6 stages): Stage 1: Initiation, Stage 2: Planning and Design, Stage 3: Implementation, Stage 4: Growth and Scaling, Stage 5: Monitoring and Evaluation, and Stage 6: Sustainability or Sunsetting. </p> <p>Supplementary 1: An example of how a community may progress its maturation levels. After the level has been identified, a CoP can start applying targeted approaches to community building, which occurs in stages. For example, at the community initiation stage of a new CoP, an RCM shares information and communicates project goals (Stage 1); at the planning and design stage, they build stakeholder awareness plans and help to prioritise specific objectives (Stage 2); at the implementation stage, they provide collaborative opportunities for specific stakeholders (Stage 3); at the growth stage, they facilitate knowledge exchange and skill building (Stage 4); and at the evaluation stage, it assesses the success of the CoP through feedback data to inform plans (Stage 5). These stages collectively affect how the project and its community can be sustained in the future or whether it should be paused (sunsetting) (Stage 6). RCMs build effective community strategies and implement creative approaches to support the development of a CoP, advancing a community from one stage to the next (Supplementary 1, Column 1 of the Community Maturation Indicators).</p> <p> </p>
Dataset for "Are data papers cited as research data? Preliminary analysis on interdisciplinary data paper citations"
<p>This is the dataset for the paper "Are data papers cited as research data? Preliminary analysis on interdisciplinary data paper citations" submitted to iConference 2025.</p>
Culture Collaboratory. Virtual Workspace for Interdisciplinary Collections Research and Management (Film)
<p>This short video presents the design concept of »Culture Collaboratory«, an interdisciplinary and interactive research platform and collections management system for museum professionals. »Culture Collaboratory« provides a virtual workspace that supports interdisciplinary collaboration and allows researchers to engage with collection objects, organize research processes, and share their knowledge.</p>
Interdisciplinary Platform for Rehabilitation Research and Innovative Care of Stroke Patients
ClinicalTrials.gov study NCT04119479. IPD Sharing: YES. Countries: 1. Publications: 3.
Not real or too soft? On the challenges of publishing interdisciplinary software engineering research (supplementary material)
<p>Supplementary material for paper "Not real or too soft? On the challenges of publishing interdisciplinary software engineering research" (ICSE 2025 SEIS track).</p>
Demography, education, and research trends in the interdisciplinary field of disease ecology
<p><strong><em>Description of Supporting Files </em></strong></p> <p><strong>Demography, education, and research trends in the interdisciplinary field of disease ecology </strong></p> <p>Ellen E. Brandell, Daniel J. Becker, Laura Sampson, Kristian M. Forbes </p> <p> </p> <p><strong>TopArticles_Inclusion.xlsx</strong></p> <p>This Excel provides a list of influential articles written in by survey participants at least two times. </p> <p>Sheet “table”: just tabular information</p> <p>Sheet “withNotes”: includes notes about data, number of citations from survey participants, and percent inclusion calculations.</p> <p>Columns are:</p> <ul> <li>‘INCLUDED’: if the article appeared in the corpus (1) or not (0)</li> <li>‘COUNT’: the number of times survey participants wrote in the article</li> <li>‘ARTICLE’: article citation Percent of articles included in the corpus are calculated for 4 or more write-ins, 3-write-ins, 2 write-ins, and across all articles written in twice. </li> </ul> <p> </p> <p><strong>IRB_Correspondence_STUDY00010582.pdf</strong></p> <p>Institutional Review Board correspondence and approval from Pennsylvania State University. Survey response data may be available upon request from the corresponding author. To protect participants, any potentially identifying information will be removed prior to filling a request. See the online Supporting Information for this article for extensive reporting of survey results prior to a request. </p> <p> </p> <p><strong>FullSurvey.pdf</strong></p> <p>A PDF of the full survey form. </p> <p> </p> <p><strong>CorpusFrequencyAnalysis.ipynb</strong></p> <p>This is the Python script used for corpus organization and the topic detection analysis. It includes some plot generation.</p>
Preventing Premature Family Maladjustment: an e-Health Interdisciplinary Research
ClinicalTrials.gov study NCT06495762. IPD Sharing: NO. Countries: 1. Publications: 0.
Interdisciplinary Research in Earth Science, Long Island Sound
Integration of new remote sensing tools for characterization of tidal marsh area extent, vegetation communities and inundation regimes, and advanced retrievals of estuarine biological and biogeochemical processes with multi-disciplinary ecological, paleoecological, and socioeconomic datasets, spatial econometric models of population growth, and a novel coupled hydrodynamic-photo-biogeochemical model specifically designed for the marsh-estuarine continuum in the heavily urbanized Long Island Sound.
An interdisciplinary research pipeline, representing the infant gut environment, to evaluate gut health benefits of early life nutrition ingredients
GEO Series GSE277706. Sus scrofa domesticus. 156 samples. Type: Expression profiling by high throughput sequencing.
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.