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213 results for “Research management”

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ClinicalTrials.gov32/100

Remote Blood Pressure Management Clinical Application Research

ClinicalTrials.gov study NCT04690478. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Research Study Investigating Study Medicine (NNC9204-1177) for Weight Management in People With Overweight or Obesity

ClinicalTrials.gov study NCT03308721. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

IUA Committee Research Project on the Management of TASC C and D Aortoiliac Lesions

ClinicalTrials.gov study NCT06260475. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Community-Led Action Research in Oncology: Improving Symptom Management

ClinicalTrials.gov study NCT03208816. IPD Sharing: NO. Countries: 2. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Mobile Terminal Based Management of Stroke Secondary Prevention Adminstration Effect Research

ClinicalTrials.gov study NCT02618265. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Building Research Initiative Group: Chronic Illness Management and Adherence in Transplantation

ClinicalTrials.gov study NCT01608477. IPD Sharing: NO. Countries: 1. Publications: 10.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Implementation Research on the LILAC Method to Educate Management of Elevated Lipoprotein(a).

ClinicalTrials.gov study NCT07177612. IPD Sharing: NO. Countries: 3. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

CAMBRA - PBRN Caries Management By Risk Assessment In A Practice-Based Research Network

ClinicalTrials.gov study NCT01176396. IPD Sharing: Not stated. Countries: 1. Publications: 15.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

International Research Consortium on Dengue Risk Assessment, Management, and Surveillance

ClinicalTrials.gov study NCT01550016. IPD Sharing: NO. Countries: 8. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Participatory Research for Fine-tuning of a 2.0 System to Optimise Home Management of Oral Cancer Therapies.

ClinicalTrials.gov study NCT02921724. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Conspecific attraction for conservation and management of terrestrial breeding birds: current knowledge and future research directions

Open the record for dataset details and reuse information.

publicJan 2022View details →
dryad32/100

Data from: Integrating local knowledge and research to refine the management of an invasive non-native grass in critically endangered grassy woodlands

Open the record for dataset details and reuse information.

publicApr 2018View details →
zenodo28/100

Figure 1 from: Petersen M, Pramann B, Toepfer R, Neumann J, Enke H, Hoffmann J, Mauer R (2020) Research Data Management - Current status and future challenges for German non-university research institutions. Research Ideas and Outcomes 6: e55141. https://doi.org/10.3897/rio.6.e55141

Figure 1 Main results of the World Café on experts' opinion to different aspects and challenges in research data management. Shown are the five stations ('Community Perspective', 'Reflection', 'Technology', 'Society & Values', and 'Personal Objectives') and the main points raised and discussed by the participants during the sessions.

opencc-by-4.0Jun 2020View details →
zenodo28/100

Supplementary material 1 from: Petersen M, Pramann B, Toepfer R, Neumann J, Enke H, Hoffmann J, Mauer R (2020) Research Data Management - Current status and future challenges for German non-university research institutions. Research Ideas and Outcomes 6: e55141. https://doi.org/10.3897/rio.6.e55141

Programm FDM-Expert*innentreffen 18.06.2019 (german)

opencc-zeroJun 2020View details →
zenodo28/100

Supplementary material 2 from: Petersen M, Pramann B, Toepfer R, Neumann J, Enke H, Hoffmann J, Mauer R (2020) Research Data Management - Current status and future challenges for German non-university research institutions. Research Ideas and Outcomes 6: e55141. https://doi.org/10.3897/rio.6.e55141

Forschungsdatenmanagement mit NFDI: Wie sind wir vorbereitet? Wie partizipieren wir?

opencc-zeroJun 2020View details →
zenodo28/100

Supplementary material 4 from: Petersen M, Pramann B, Toepfer R, Neumann J, Enke H, Hoffmann J, Mauer R (2020) Research Data Management - Current status and future challenges for German non-university research institutions. Research Ideas and Outcomes 6: e55141. https://doi.org/10.3897/rio.6.e55141

Photographs of notes from the discussions in the Leibniz Sessions

opencc-zeroJun 2020View details →
zenodo28/100

Survey on Research Data Management at a Technical University

<p>This dataset is based on a survey with researchers and engineers about data management practices. The survey was hosted via LimeSurvey. The data displayed here were retrieved directly from LimeSurvey. For analysis, we recoded the survey items as most of them were in a textual format (e.g. answer options such as &quot;To a large extent&quot; etc.). Here, only the original data are provided. Here, the answers and questions should be fairly self-explanatory, eliminating the need for extensive metadata.</p> <p>In total, 498 people started to fill in the survey, but only 259 completed the process.</p>

opencc-by-4.0Aug 2020View details →
dryad28/100

Research Data Management in Health and Biomedical Citizen Science: Practices and Prospects

<p><b>Background:</b> Public engagement in health and biomedical research is being influenced by the paradigm of citizen science. However, conventional health and biomedical research relies on sophisticated research data management tools and methods. Considering these, what contribution can citizen science make in this field of research? How can it follow research protocols and produce reliable results?</p> <p><b>Objective:</b> The aim of this paper is to analyse research data management practices in existing biomedical citizen science studies, so as to provide insights for members of the public and of the research community considering this approach to research.</p> <p><b>Methods:</b> A scoping review was conducted on this topic to determine data management characteristics of health and bio medical citizen science research. From this review and related web searching, we chose five online platforms and a specific research project associated with each, to understand their research data management approaches and enablers.</p> <p><b>Results:</b> Health and biomedical citizen science platforms and projects are diverse in terms of types of work with data and data management activities that in themselves may have scientific merit. However, consistent approaches in the use of research data management models or practices seem lacking, or at least are not evident.</p> <p><b>Conclusions:</b>  There is potential for important data collection and analysis activities to be opaque or irreproducible in health and biomedical citizen science initiatives without the implementation of a research data management model that is transparent and accessible to team members and to external audiences. This situation might be improved with participatory development of standards that can be applied to diverse projects and platforms, across the research data life cycle.<b> </b></p>

opencc-zeroSep 2020View details →
dryad28/100

Data from: An ecosystem services perspective on brush management: research priorities for competing land use objectives

1. The vegetation of semi-arid and arid landscapes is often comprised of mixtures of herbaceous and woody vegetation. Since the early 1900s, shifts from herbaceous to woody plant dominance, termed woody plant encroachment and widely regarded as a state change, have occurred world-wide. This shift presents challenges to the conservation of grassland and savanna ecosystems and to animal production in commercial ranching systems and pastoral societies. 2. Dryland management focused on cattle and sheep grazing has historically attempted to reduce the abundance of encroaching woody vegetation (hereafter, 'brush management') with the intent of reversing declines in forage production, stream flow or groundwater recharge. Here, we assess the known and potential consequences of brush management actions, both positive and negative, on a broader suite of ecosystem services, the scientific challenges to quantifying these services and the trade-offs among them. 3. Our synthesis suggests that despite considerable investments accompanying the application of brush management practices, the recovery of key ecosystem services may be short-lived or absent. However, in the absence of such interventions, those and other ecosystem services may be compromised, and the persistence of grassland and savanna ecosystem types and their endemic plants and animals threatened. 4. Addressing the challenges posed by woody plant encroachment will require integrated management systems using diverse theoretical principles to design the type, timing and spatial arrangement of initial management actions and follow-up treatments. These management activities will need to balance cultural traditions and preferences, socio-economic constraints and potentially competing land-use objectives. 5. Synthesis. Our ability to predict ecosystem responses to management aimed at recovering ecosystem services where grasslands and savannas have been invaded by native or exotic woody plants is limited for many attributes (e.g. primary production, land surface–atmosphere interactions, biodiversity conservation) and inconsistent for others (e.g. forage production, herbaceous diversity, water quality/quantity, soil erosion, carbon sequestration). The ecological community is challenged with generating robust information about the response of ecosystem services and their interactions if we are to position land managers and policymakers to make objective, science-based decisions regarding the many trade-offs and competing objectives for the conservation and dynamic management of grasslands and savannas.

opencc-zeroDec 2013View details →
zenodo28/100

Supplementary material 1 from: Borisenko A, Young R, Hanner R (2024) A lab-centric, workflow-based data management system for environmental DNA research. Research Ideas and Outcomes 10: e120483. https://doi.org/10.3897/rio.10.e120483

eDNA Laboratory Database Schema Outline

opencc-zeroMar 2024View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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
neuroscienceopenDocumentation, web resources, and API references are available online.
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.

abode-home-cage
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