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39 results for “DMP”
Data Management Plan (DMP) Process Example
<p>This diagram is an example of a funding program solicitation mapped to the select key components of a data management plan, major data lifecycle process, infrastructure and resources, and proposed elements for sustainability of a funded research project. This diagram was developed out of a need to illustrate introductory DMP processes workflows for education, teaching, and training purposes. The DCC Checklist for a Data Management Plan (2013) and the USGS Data Lifecycle Model (2013) were adapted in this diagram.</p>
Mapping Across OpenAIRE And Argos Data Models And The DMP Common Standard
<p>This is the outcome of the mapping activity across the data models of Argos and the OpenAIRE Research Graph and the RDA DMP Common Standard.</p>
Supplemental Movie 1: Stochastic Ca2+ transients in ICC-DMP.
<p><strong><span>Supplemental Movie 1: S</span><span>tochastic Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>transients in</span></strong><span> <strong>ICC-DMP.<span> </span></strong>Movie of intracellular Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>transients in ICC-DMP labelled with the genetically encoded Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>indicator GCaMP3. The top left FOV shows elongated ICC-DMP at 60x and the top right FOV shows ICC-DMP at 100x magnification. Note the lack of coincidence of Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>transients between the blue bit-masked cell and the non-bit-masked cell in the 100x FOV. The blue bit-masked ICC-DMP in the 100x FOV was used to construct a spatio-temporal map of Ca</span><sup><span>2+</span></sup><span>-induced fluorescence intensity along the length of the cell (lower panel).<span> </span>Note the stochastic firing of spontaneous Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>transients in ICC-DMP.<span> </span>Copied with permission from reference </span><span><span>(127)</span></span><span>.<span> </span></span></p> <p> </p> <p><span><span><a href="https://doi.org/10.1152/physrev.00036.2022">https://doi.org/10.1152/physrev.00036.2022</a></span></span></p>
Data Set from the DMP survey and interviews - intermediate results
<p>This is the data set for a series of interviews in chemistry on data management (plans) and presents interim results. A more detailed analysis and description can be found in the paper "Road to a Chemistry-specific Data Management Plan" submitted to Data Science Journal (2022-12-15).<br> The interview series will continue in 2023 and final results will be published later in 2023.</p> <p>The aim of the conducted interview series is the enrichment of the online survey data from the RDA WG Discipline-specific Guidance for DMP and in a second step the development of a chemistry-specific data management plan template. For this purpose, the current status of data management as well as information about the workflows in the various chemical disciplines were requested in a personal interview with 22 participants so far.</p> <p>All the gathered information and examples will be used to develop a DMP template or guide in line with chemistry-specific requirements. The results provide a comprehensive outlook on the future developments of RDM in chemistry. Possible strategies for implementation are also discussed.</p>
Model and model instance of a DMP
<p>The model and an instance of this model of the DMP Exercise 3 from Draskovits Stefan and Michael Heinzl</p>
Dynaamiset DMP:t -työryhmän toivekartoitus
<p>Avoimen tieteen ja tutkimuksen (AVOTT) Dynaamiset DMP:t -työryhmän (9/2020 - 5/2022) keräämään taulukkoon on koottu eri sidosryhmien yksityiskohtaisia toiveita DMP-työkalulle ja prosessille.</p>
DMP Examine the correlation between Twitter Sentiment data and the stock data of the 4 big tech companies Apple, Amazon, Google and Microsoft
<p><span>The purpose of using these specific datasets are, the possibilities they give to analyze the stock data changes, based on the sentiment analysis of the previous day. Including this output information it is possible to analyze our goal of searching for possible correlation between those two. </span></p>
DMP: Real estate evaluations_Melbourne vs Allegheny County
<p>This is the DMP in PDF format for the Real Estate Evaluation project. The input and output files can be found in the connected GitHub repository. The files can be created by running the Juypter Notebooks that are available in the linked repository. Details on the DMP can be found in the PDF document (this also includes the DOI of the repository connected to the project). </p>
D1.2 Data Management Plan (DMP)
<p>This deliverable constitutes the Data Management Plan (DMP) of the NANOFACTS project. It is the first version of DMP, describing data management life cycle for all research and publication data. This deliverable is introducing ways to produce, collect, process, save, exchange, share, and publish research data in line with the EC “Guidelines on FAIR Data Management in Horizon 2020”.</p>
Data from: Data management plan (DMP): Towards a more efficient scientific management at the Universidad Centroamericana José Simeón Cañas
Open the record for dataset details and reuse information.
DMP: Endangered Species Analysis
<p>s research project is centered on a systematic analysis of endangered species, employing data provided by The International Union for Conservation of Nature (IUCN). The IUCN periodically evaluates species and publishes their conservation status in the Red List. Our analysis aims to address several key questions: What is the current number of species listed as endangered? How has this number changed over time? What geographical, natural, or national factors contribute to a higher incidence of endangered species? Furthermore, we seek to determine whether these factors can also predict future trends in the number of endangered species. By examining these questions, this project aims to deepen our understanding of the dynamics affecting endangered species and contribute to their conservation efforts.</p> <h2> </h2> <p>Research Questions:</p> <ul> <li>How many species are currently listed as endangered? <ul> <li>How many animals are endangered in certain continents/areas/countries?</li> <li>How many animals are endangered for a certain class (taxonomic rank; e.g., Mammalia)?</li> <li>What are the main threats for certain classes?</li> </ul> </li> <li>How has this changed over time? <ul> <li>How has the number of endangered and critical endangered animals changed over time?</li> </ul> </li> <li>Which geographical and natural characteristics predict higher numbers of endangered species? <ul> <li>How has endangerment developed across climate zones?</li> <li>What climate zone characteristics predict higher numbers of endangered species?</li> <li>Can these characteristics predict trends in the number of species?</li> </ul> </li> </ul>
DMP: Illustration of State-of-the-Art Embedding Methods for Social Networks
<p>This project aims to explore state-of-the-art network embedding methods for social network analysis, with a specific focus on link prediction. Using data from the Austrian online newspaper derStandard.at, a follow-network is constructed to represent user interactions. By applying selected network embedding algorithms to this dataset, the goal is to identify the most effective method for predicting links between users. Through this investigation, the aim is to enhance understanding of graph embedding techniques and their applicability in social network analysis tasks.</p>
Minimal DMP
<p>This is a minimal DCS compliant DMP with resolvable identifiers.</p>
531DMP - DMP
<p>20240501 Data Management Plan elements</p>
Was ist ein DMP? - Erklärvideo
<p>Das Video ist im Rahmen des Verbundprojekts FDM-ndsHAW entstanden und seit dem 23.05.2024 veröffentlicht.</p> <p>www.fdm-nds-haw.de</p> <p>Das Video erklärt humorvoll das komplexe Thema Datenmanagementplan (DMP) und dessen Nutzen. Inhaltlich ist das Video so gestaltet, dass auch Menschen, die noch nicht tief in der Materie sind, abgeholt werden. Sie können den Clip gerne teilen, versenden, auf Ihre Homepage einbinden etc. Optisch gestaltet wurde das Video durch Robin Adlung.</p>
Data Stewardship DMP Exercise Result Data
<p>This data is the result of a machine learning classification experiment performed for the Data Stewardship course at TU Vienna. All files contain classification results for the Breast Cancer dataset.</p>
Natural hydrogen and carbon dioxide soil gas emissions in the Perth Basin: Monitoring near DMP Harvey-2
<p>Data in support of the publication "Natural hydrogen and carbon dioxide soil gas emissions in the Perth Basin: Monitoring near DMP Harvey-2"</p>
3DED/MicroED datasets of Cu1 (DMP)2 captured on a K2 detector in counting mode
<p>Continuous rotation data sets in LZW compressed tif format (RAW folder) were collected on a JEOL CryoARM300 (300 kv) equipped with a K2 summit direct electron detector using serialEM. Datasets were collected from 6 different crystals. Each dataset was collected with an approximate flux of 0.008 e-/ Å^2/s-1 giving a final total exposure of 2.5 e-/Å^2 for a 70-degree wedge of data. Datasets were converted to mrc format (MOVIES folder) and binned by a factor of 2 in xy and z using the included python script (tiff2MRC.py). All datasets were processed in DIALS and an example bash script is provided. Experimental parameters are as follows:</p> <div> <p>Accelerating voltage: 300 kV </p> </div> <div> <p>Wavelength: 0.019687 </p> </div> <div> <p>Cameralength: 365 mm </p> </div> <div> <p>Exposure time: 2 s </p> </div> <div> <p>Rotation speed: 0.25 degrees s-1 </p> </div> <div> <p>Rotation: Always negative to positive </p> </div> <div> <p>Detector area: 1919 x 1855 (Bin 2) </p> </div> <div> <p>Pixel size: 0.01 mm </p> </div> <div> <p>Spot size: 7 </p> </div> <div> <p>Angle: 5 </p> </div> <div> <p>C2 aperture: 40 µm </p> </div> <div> <p>SA aperture: 100 µm (2 µm at the sample) </p> <p>Additional information can be found in the metadata folders (MDOCs and METADATA)</p> </div>
Data Management Plan (DMP)v2
Open the record for dataset details and reuse information.
Safety, Tolerability, and Anti-HIV Activity of DMP 266 (Efavirenz) in Combination With Nelfinavir in HIV-Positive Children
ClinicalTrials.gov study NCT00000893. IPD Sharing: Not stated. Countries: 2. Publications: 4.
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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.
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.