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28 results for “RDA”
RDA Overview for the Social Sciences - October 2022
<p>This upload is the fourth version of a dataset on the RDA groups and outputs which was generated in October 2022. It is connected to a report that described a project that assessed the RDA Groups and Outcomes and their relevance for social science researchers. This datasets gives an overview of the results of this analysis, providing a list of all RDA Groups as well as an indication of the relevance for Social Sciences researchers. The project was executed and updated by Data Archiving and Networked Services (DANS).</p> <p>This dataset contains:</p> <p>- an excel overview of the RDA Working and Interest groups</p> <p>- additional csv copies of the separate sheets of the excel overview</p>
NOAA's National Climatic Data Center including daily precipitation and USFS RDA datasets
This dataset was originally established as a subset of relevant NOAA daily precipitation data. This has been replaced with links to NOAA station websites which contain this data, please visit these links in the dataset file here. Previously, daily precipitation for 5 stations in or near the LEF were compiled from the NOAA National Climate Data Center and posted here. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
NOAA's National Climatic Data Center including maximum temperature and USFS RDA datasets
This dataset was originally established as a subset of relevant NOAA monthly average maximum air temperature data. This has been replaced with links to NOAA station websites which contain this data, please visit these links in the dataset file here. Previously, maximum air temperature at two stations in or near the LEF were compiled from the NOAA National Climate Data Center and posted here. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
NOAA's National Climatic Data Center including minimum temperature and USFS RDA datasets
This dataset was originally established as a subset of relevant NOAA monthly average minimum air temperature data. This has been replaced with links to NOAA station websites which contain this data, please visit these links in the dataset file here. Previously, minimum air temperature at two stations in or near the LEF were compiled from the NOAA National Climate Data Center and posted here. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
RDA Publishing Workflows_ Research Workflows (Responses)
<p>Responses to online questionnaire / call for examples from Research Data Alliance Working Group on Publishing Research Data Workflows.</p> <p>These relate to the article 'Connecting data publication to the research workflow: a preliminary analysis' by the same authors, submitted to the International Digital Curation Conference, 2017</p>
RDA Data Stewardship Organisational Models Survey 2021 Output Dataset
<p>Data Stewardship comes in many forms and contexts, with the common goal of supporting data management. Yet that diversity can make it hard for the RDM community to further professionalise our work and services.</p> <p><br> The RDA Professionalising Data Stewardship Interest Group (PDS-IG) Models Task Group sought input from the research data community to help model different approaches to research data stewardship through an online survey in October to November 2021. An offline copy of the survey is available as a linked resource from this record.<br> <br> This dataset consists of a cleaned, anonymised responses from 136 respondents, though not all questions were answered by all respondents. The output are available in a CSV formatted file containing the full response set along with output from a thematic textual analysis undertaken on responses to a number of open-text questions in the survey.</p>
0.0 0.5 1.0 1.5 RDA 1 FIG. 4 in Response of bryophytes to disturbances in managed forests. A case study from a Polish forest
0.0 0.5 1.0 1.5 RDA 1 FIG. 4. — Redundancy analysis biplot illustrating the ordination of most frequent bryophyte species colonizing tree trunks in relation to the statistically significant environmental variables for the plots with the presence of tree host species (n=41). Abbreviations as in Fig. 3.
Figure 5. Broad-scale components RDA 1-3 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 5. Broad-scale components RDA 1-3 of the annual temperature variation. Black line – the original data, colored lines – smoothed data. The abscissa axis – the number of days from 1 July of the previous year to June 31 of the next year
WDS-RDA Publishing Data Workflows Working Group Analysis sheet
<p>The information was further refined by adding color: pink indicates “project” (4 entries), blue shows “repository” (14 entries), yellow is “journal” (7 entries) and green for “hybrid” (1 entry). Future versions of the spreadsheet are planned, which can be filtered via other categories, for example: discipline-specific vs discipline-agnostic, funding model, level of editing/intervention, etc.</p> <p>The collection and analysis of data took place between 1 February and 30 June 2015</p>
WDS-RDA-F11 Publishing Data Workflows WG Synthesis FINAL CORRECTED
<p>Final, revised version of http://dx.doi.org/10.5281/zenodo.33413 (published 6 November 2015)</p>
WDS-RDA Publishing Data Workflows Working Group Analysis sheet FINAL
<p><strong>NB: This dataset is superseded by:</strong></p> <p>Murphy, Fiona et al.. (2015). WDS-RDA-F11 Publishing Data Workflows WG Synthesis FINAL CORRECTED. Zenodo. 10.5281/zenodo.33899</p> <p>Data Publishing Workflows collected and analysed between 1 February - 30 June 2015. Fields were populated using a combination of consultation and desk research. This is a refined version of the previous spreadsheet also lodged in Zenodo: </p> <p>Murphy, Fiona et al.. (2015). WDS-RDA Publishing Data Workflows Working Group Analysis sheet. Zenodo. 10.5281/zenodo.19107</p> <p>Publication date: 29 June 2015</p> <p>Keyword(s): <strong>data publishing, workflows, journals, repositories, research data</strong></p>
RDA IG Data Discovery Paradigms IG: Use Cases data
<p>The RDA Data Discovery Paradigms IG (https://www.rd-alliance.org/groups/data-discovery-paradigms-ig) aims to provide a forum where representatives from across the spectrum of stakeholders and roles pertaining to data search can discuss issues related to improving data discovery. The goal is to identify concrete deliverables such as a registry of data search engines, common test datasets, usage metrics, and a collection of data search use cases and competency questions.</p> <p>In order to identify the key requirements evident across data discovery use-cases from various scientific fields and domains, the Use Cases Task Force (https://www.rd-alliance.org/group/data-discovery-paradigms-ig/wiki/use-cases-prototyping-tools-and-test-collections-task-force) was initiated. Direct outcome of this task force is this collection of use cases outlining what users might wish to search for data and what supports they would expect a data repository should provide.</p>
Templates for FAIRness evaluation criteria - RDA-SHARC ig
<p>The SHARC Interest Group of the Research Data Alliance was established to improve research crediting and rewarding mechanisms for scientists who wish to organise their data (and material resources) for community sharing. This requires that data are findable and accessible on the Web, and comply with shared standards making them interoperable and reusable in alignment with the FAIR principles. It takes considerable time, energy, expertise and motivation. It is imperative to facilitate the processes to encourage scientists to share their data. To that aim, supporting FAIR principles compliance processes and increasing the human understanding of FAIRness criteria – i.e., promoting FAIRness literacy – and not only the machine-readability of the criteria, are critical steps in the data sharing process. Appropriate human-understandable criteria must be the first identified in the FAIRness assessment processes and roadmap. This document is a reusable template that aims to support FAIRification assessment with human understandable criteria. The level of compliance for each criterion can be used to prioritise the most appropriate and sufficient training, support and actions.</p>
Results from CODATA-RDA Schools for Research Data Science "being open and responsible at home" exercise 2022
<p>This is an exercise in identifying potential influence of environmental factors on open and responsible research practices. Students were asked to write down concerns about conducting open and responsible research in their home environments (column 2), and to group these concerns around institutional/cultural issues, infrastructural issues and personal concerns (column 1). Through a facilitated discussion, the class identified tools, communities and resources to use to help overcome these concerns (column 3).</p>
RNA Disruption Assay (RDA)-Breast Cancer Response Evaluation for Individualized Therapy
ClinicalTrials.gov study NCT03524430. IPD Sharing: NO. Countries: 7. Publications: 5.
RNA Disruption Assay (RDA) Response Prediction in Neoadjuvant Chemotherapy Breast Cancer Treatment
ClinicalTrials.gov study NCT02190227. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study of Tumor RNA Disruption Assay™ (RDA)
ClinicalTrials.gov study NCT02239315. IPD Sharing: Not stated. Countries: 1. Publications: 2.
RDA Biodiversity Data Integration Interest Group survey
<p>This survey is used to collect input for the <a href="https://www.rd-alliance.org/groups/biodiversity-data-integration-ig.html">Biodiversity Data Integration Interest Group</a> in the <a href="https://www.rd-alliance.org/">Research Data Alliance</a>. The results are used for setting new objectives and scope for this interest group. The survey was open for responses between 1-21 March 2020. The last question, Q15 - What is your name and email address - has been left out in publication of the results for privacy reasons (46 responses).</p>
RDA P15 PID Interest Group recordings
<p>These are the audio, video and chat recording from the virtual RDA Plenary P15 PID Interest Group session held on April 9th, 2020</p>
Figure 7. Fine-scale components RDA 1-3 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 7. Fine-scale components RDA 1-3 of the annual temperature variation. Black line – the original data, colored lines – smoothed data. The abscissa axis – the number of days from 1 July of the previous year to June 31 of the next year.
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.