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123 results for “research infrastructures”
Data from a three-phase Delphi study used to investigate Knowledge Infrastructure for Research Data in Norway, KIRDN_Data; PhD project
<p>A modified three-phase Delphi study was used to explore the knowledge infrastructure for research data in Norway. The study includes different stakeholders involved in research data sharing. A Delphi study is characterised by the use of an expert panel to elicit opinions on a shared reality from different perspectives. Data collection is performed in several rounds with the intention of reaching consensus or solving an issue. </p> <p>A group of 24 experts took part in the study. The group consisted of policy-makers, representatives of national service providers, and researchers and research support staff from four Norwegian universities. The participants were invited based on their involvement in the development of policies, infrastructure or data-related research support. The research support staff were recruited to include representatives from different research support services at the universities, including libraries, research offices and IT departments. While the researchers were selected from based on their receival of EU funding with requirements of data management plans.</p> <p>Data were collected in three phases. The first phase, the ‘exploration phase’, was conducted using open interviews lasting approximately one hour in January/February 2018. The purpose of this phase was to obtain an initial overview of the panel members opinions’ on issues regarding research data management.</p> <p>In the second phase, the ‘evaluation phase’, conducted in August/September 2018, participants answered a survey containing nine questions on topics such as data stewardship, DMPs, ethical aspects of data sharing and core functions in a research data infrastructure. The survey was designed to further explore issues and tensions uncovered in the first interviews. Several of the questions were formulated as statements that the participants were asked to agree or disagree upon. </p> <p>The third, ‘concluding phase’ was conducted using interviews in March/April 2019. These interviews lasted approximately 30 minutes and were based on results from the questionnaire as well as the first interview. Participants were asked whether they had thoughts on the preliminary findings of the study. </p> <p>Based on requests from some of the participants, the questions were sent to all participants prior to the data collection, in all three phases. The participants were also sent the transcripts from the interviews and were asked for permission to share the complete material or parts of the data material to which they contributed. </p>
UKRI Digital Research Infrastructure Mapping Survey Dataset (for Net Zero Scoping Project)
<p>This dataset was generated as an output for the DRI Mapping exercise carried out during the UKRI Net Zero Digital Research Infrastructure (DRI) Scoping Project undertaken from 2021-2023. The "README.md" provides more information about the dataset and how to use it.</p> <p>The report associated with this dataset is available at:</p> <p>https://doi.org/10.5281/zenodo.7805987</p>
About ERIGrid 2.0 - Connecting European Smart Grid Research Infrastructures
<p>This video provides a brief overview of the activities and services of the <a href="https://ec.europa.eu/programmes/horizon2020/en">H2020</a> <a href="https://erigrid2.eu/">ERIGrid 2.0</a> research infrastructure project.</p>
Dataset with the results of the e-infrastructures Austria National Survey about Research Data
<p>This is the dataset accompanying the report with the results of our national survey regarding the management of research data</p>
Mapping Building BioData.pt Indicators against the performance and impact assessment frameworks for research infrastructures of OECD, ESFRI and RI-PATHS project
<p>"Buiding BioData.pt" indicators observed in international frameworks for performance and impact assessment of research infrastructures, namely, OECD, ESFRI and RI-PATHS.</p>
Research Infrastructure Contact Zones
<p>The landscape of biodiversity data infrastructures and organisations is complex and fragmented. Many occupy specialised niches representing narrow segments of the multidimensional biodiversity informatics space, while others operate across a broad front but differ from others by data type(s) handled, their geographic scope and the life cycle phase(s) of the data they support. To characterise the various dimensions of the biodiversity informatics landscape, we developed a framework to survey these dimensions for ten organisations (<a href="https://www.dissco.eu/">DiSSCo</a>, <a href="https://www.gbif.org/">GBIF</a>, <a href="https://ibol.org/">iBOL</a>, <a href="https://www.catalogueoflife.org/">Catalogue of Life</a>, <a href="https://www.inaturalist.org/">iNaturalist</a>, <a href="https://www.biodiversitylibrary.org/">Biodiversity Heritage Library</a>, <a href="https://geocase.eu/">GeoCASe</a>, <a href="https://www.lifewatch.eu/">LifeWatch</a>, <a href="https://www.lter-europe.net/elter-esfri">eLTER</a>, <a href="https://elixir-europe.org/">ELIXIR</a>), relative to both their current activities and long-term strategic ambitions.</p> <p>The results of the survey are presented in this dataset. Details of the assessment methodology, data model, scope and high-level results are described in an accompanying paper, which is currently under review and will be linked to this dataset on publication.</p>
D1.2 Requirements and needs of scientific communities from ICT-based Research Infrastructures (Dataset)
<p>A user survey was conducted between December 2020 and January 2021 gathering inputs from potential SLICES users from the research community. The survey was distributed among the research community to identify the technological domains, the use cases, the requirements and other expectations from the future users of the SLICES research infrastructure. This dataset contains the results of the survey; 226 people participated.</p>
About ERIGrid 2.0 - Connecting European Smart Grid Research Infrastructures (IEA version)
<p>This video provides a brief overview of the activities and services of the <a href="https://ec.europa.eu/programmes/horizon2020/en">H2020</a> <a href="https://erigrid2.eu/">ERIGrid 2.0</a> research infrastructure project as well its links with the <a href="https://www.iea.org/">IEA</a>, especially its technology collaboration programme <a href="https://www.iea-isgan.org/">ISGAN</a> - Annex 5 <a href="https://www.iea-isgan.org/our-work/annex-5/">SIRFN</a>.</p>
A lack of open data standards for large infrastructure projects hampers social-ecological research in the Brazilian Amazon
<p>List of papers used in literature review for "A lack of open data standards for large infrastructure projects hampers social-ecological research in the Brazilian Amazon"</p>
Derived daily timeseries of weather, soil moisture and temperature, flow and nitrogen species (nitrate and nitrite, ammonium) concentrations data for the North Wyke Farm Platform National Biosciences Research Infrastructure, England
<p>For a selection of catchments from the North Wyke Farm Platform in southwest England, where land use conversions have been introduced, daily time series data covering weather conditions (minimum temperature, maximum temperature, total rainfall, wind speed and solar radiation), near-surface soil status (moisture content and temperature), flow and concentrations of key nitrogen species (nitrate and nitrite, ammonium) have been filtered based on attached data quality tags . The datasets run between 2013 and March 2024. For the main climate variables, data gaps were infilled with preceding- and following-on daily data, observations from a nearby weather station or existing national datasets to generate a continuous data series for modelling. For the other data series, annual and seasonal summary statistics on data coverage are provided. Information on significant field events, such as ploughing, drilling and harvest, fertiliser applications and manure spreading were also tabulated.</p>
The Carbon Footprint of Astronomical Research Infrastructures
<p><strong>Content of the directory</strong></p> <p>This record contains code and data that were used for the paper</p> <p><strong>Knoedlseder, J., et al. Estimate of the carbon footprint of astronomical research infrastructures, Nature Astronomy, in press</strong>.</p> <p><strong>Data</strong></p> <p>The file <em>ri-carbon-footprint.xls</em> contains all data that were used for the analysis in the paper.</p> <p>The file is an excel file containing the following tabs:</p> <ul> <li>Description - a description of the excel file</li> <li>Summary - summary of the findings of the carbon footprint estimates</li> <li>Carbon footprint (ground) - Master table for carbon footprint of ground-based observatories</li> <li>Carbon footprint (space) - Master table for carbon footprint of space missions</li> <li>Emission factors - Collection of emission factors used as input to the study</li> <li>Active infrastructures - List of astronomical facilities that were active worldwide in 2019</li> <li>Community - Astronomical community and IAU members for several countries (Ahn, S.H., Economic Power, Population, and Size of Astronomical Community, JKAS, 52, 159 (2019).</li> </ul> <p><strong>Code</strong></p> <p>The record contains three Python scripts.</p> <p><strong><em>adsquery.py</em></strong></p> <p>Script to query the ADS database to extract number of publications for a given facility. The script also determines the number of unique authors. It returns global numbers since the start of the mission or observatory operations, and numbers restricted to IRAP.</p> <p><em><strong>bootstrap.py</strong></em></p> <p>Script to bootstrap the considered facilities to extrapolate the carbon footprint to all infrastructures that exist worldwide. The script also produces Figure 1 of the paper.</p> <p><strong><em>carbonintensity.py</em></strong></p> <p>Script to generate various figures from the excel data, and in particular the carbon intensity Figure 2 of the paper. Running the script requires the "xlrd" Python module that can be installed via conda.</p>
Aerocargo Trafic Argentina - from 2014 to 2019 (no covid-19 data included) Critical Infrastructure Risk Research Program
<p>Proyectos Bianuales de Investigación</p> <p>Universidad Nacional de Cuyo</p> <p>Propuestas metodológicas y modelos de concepción, operación y gestión<br> para la reducción de vulnerabilidad e incremento de la resiliencia en la<br> nueva generación de infaestructuras crítica de américa latina.<br> Código Sigeva: B083<br> Resolución Nro.: Otorgamiento: RES 4142/2019-R- Expediente de pago: NOTA-<br> CUY:38892/2019<br> </p>
Funding Covid-19 research: Insights from an exploratory analysis using open data infrastructures - Supplementary material
<p>This dataset contains supplementary material for the paper 'Funding Covid-19 research: Insights from an exploratory analysis using open data infrastructures' by Alexis-Michel Mugabushaka, Nees Jan van Eck, and Ludo Waltman.</p> <ul> <li>supplementary_material_1_dataset.ods: Dataset of Covid-19 publications.</li> <li>supplementary_material_2_sample.ods: Samples of publications used to assess the accuracy of funding data in the different databases.</li> <li>supplementary_material_3_tables_and_figures.ods: Statistics underlying the tables and figures presented in the paper.</li> </ul>
Augmented Reality Enhancing the Inspections of Transportation Infrastructure: Research, Education, and Industry Implementation
<p>Corresponding data set for Tran-SET Project No. 18STUNM03. Abstract of the final report is stated below for reference:</p> <p>"Transportation infrastructure needs continuous monitoring that is conducted by field inspectors regularly in the field. Currently, infrastructure inspectors climb, measure, and photograph structures annually to inform repair needs and prioritize decisions. In order to promote and accelerate early learner's expertise in decision-making capabilities during infrastructure inspections, this research project developed various software applications using augmented reality (AR) as an inspection tool for bridges and bridge management, more specifically. By objectively quantifying infrastructure field inspections, inspectors can make more accurate field assessments and managers can make better-informed decisions. This project collaborated with stakeholders, national laboratories, DOT agencies such as NCHRP and NMDOT, and local owners like the City of Albuquerque, to inform the needs of AR for field inspections. The results of this study summarized the current limitations of visual inspections from the perspective of the various owners, as well as pilot developments of AR applications and their benchmarked accuracy in comparison with visual methods. The education and training aspect of this project included teaching and exposing AR to high school students, community college students, undergraduate students, and graduate students, as well as industry (bridge inspectors). This research project’s outcome includes a webinar free to access in the NCHRP national website on this topic. The conclusion of this research is that AR can be an effective tool and that industry is interested in specific programming of AR software that matches their bridge management needs."</p>
Improving access and research infrastructure for the internet's images
<p>Access to image-based resources is fundamental to research and the transmission of cultural knowledge. Digital access offers the potential for scholars to employ heritage collections internationally via the internet. However, most of the internet’s image-based resources have been locked up in silos, and access at resolutions useful for research has been restricted to bespoke, locally-built applications. The International Image Interoperability Framework (IIIF) can solve this problem using Application Program Interfaces (APIs) which allow images and metadata held in different digital collections to be accessed in a standardised format.</p> <p>In this EU-funded MUYA-IIIF project 694612 Proof of Concept project (the MUYA-IIIF PoC) the School of African and Oriental Studies (SOAS) has addressed the problem of tools and infrastructure to realize the potential of IIIF in practical workflows for researchers in the social sciences and humanities. Heretofore the large number of organizations worldwide now providing access to their image-based resources via IIIF have only supported viewing, and not the routine use of research processes such as standards-based scientific annotation. The MUYA-IIIF PoC has worked with the British Library (BL) and the <em>hasdai </em>Partnership of CERN and Data Futures GmbH to build and employ a general-purpose IIIF annotation workflow, extending existing research conducted under earlier The Multimedia Yasna ERC advanced grant. Significantly, not only have problems of annotation workflows been addressed by the MUYA-IIIF PoC, but also the creation of new, <em>reusable primary data resources</em> from research employing annotation, which can be preserved using the W3C's Web Annotation Data Model (WADM) standards and state-of-the art InvenioRDM repository technology.</p> <p>Specifically, MUYA-IIIF has annotated textual structure in key Avestan manuscripts from multiple collections, including from the British Library, to connect the digitized manuscript imagery with structured transcriptions of the text it bears, enabling analysis and searching.</p> <p>While many institutions internationally now provide IIIF data resources based on their manuscript collections, very few of these are yet compatible with standards-based annotation. The Oxford MA in digital scholarship found, as recently as Fall 2022, that it needed to convert libraries' IIIF resources before being able to annotate them. In contrast, MUYA-IIIF has produced a new WADM-compliant IIIF service, which can now be freely annotated by scholars, and it has also created annotations of all of the stanzas of the Zoroastrian Yasna ceremony. In turn, this has permitted reuse of existing research investment using Text Encoding Initiative (TEI) analysis of the Yasna. As a result a significant speed-up has been achieved in developing comprehensive interactive transcription of the Yasna manuscripts.</p> <p>The second part of the MUYA-IIIF project has addressed sustainability and reuse of this new digital collection: in contrast, many data resources in the Humanities and in cultural heritage become vulnerable to technology obsolescence. In particular, WADM annotations are stand-off in nature—they are stored separately from the digitized manuscript imagery and demand new approaches for effective preservation and accessibility for the wider research community. MUYA-IIIF has therefore worked with the <em>hasdai</em> partnership to gain access to new repository technology developed in the InvenioRDM consortium, which supports annotation. InvenioRDM is the software platform on which the upgrade of the European Commission's OpenAIRE trusted Zenodo repository is based.</p> <p>To support such long-term access and reuse, the project's outputs comprise four components, which together form a sustainable data resource on which not only SOAS but also the external research community can build.</p> <ul> <li>the MUYA InvenioRDM corpus repository provides metadata linked to the British Library manuscript record, and a IIIF viewer for the BL Arundel Yasna manuscript imagery.</li> <li>annotations produced in the MUYA-IIIF project are available for download as a WADM. dataset—these annotations are linked to the manuscript imagery via Persistent IDentifiers (PIDs).</li> <li>the IIIF service for the manuscript is available for use by external IIIF applications and researchers' tools.</li> <li>a Zenodo record, linked to the corpus repository, provides the Yasna annotation collection dataset, and this is discoverable by international libraries via the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH).</li> </ul> <p>The new MUYA InvenioRDM corpus repository is supported in the long-term through the <em>hasdai</em> Partnership, and the Zenodo record is supported by the EC's OpenAIRE program. In this way MUYA-IIIF has created a new sustainability benchmark for digital research investments using scientific annotation, by assembling standards-based infrastructures and making very long-term costs of operation of complex data resources forecastable in concrete terms.</p> <p><strong>Implementation of the project</strong></p> <p>The project was divided into work-packages, reflecting three main activities:</p> <ul> <li>creating a IIIF service for the British Library Arundel manuscript of the Yasna ceremony and building an annotation workflow</li> <li>annotating the chapters and stanzas of the Yasna and connecting them with transcriptions and analyses already accomplished in other research activities</li> <li>developing a corpus repository for Zoroastrian manuscripts to support both accessibility for the research community and also preservation of the research investment in digitization and annotation, as well as connecting other existing research outcomes</li> </ul> <p>The annotation workflow for the project employed the <em>freizo</em> anəstor platform developed by Data Futures GmbH and employed by institutions in Europe and the U.S. including CERN, Heidelberg, Oxford and Notre Dame, and this was configured for work on the Yasna manuscript. Anəstor can generate multiple versions of Open Annotation Data Model and Web Annotation Data Model (WADM) annotations, to address differences between existing, current and future standards-based WADM research environments, and it is being integrated with the Zenodo global catch-all repository of OpenAIRE.</p> <p>The annotation workflow provided security for SOAS scholars through ORCID authentication, so that their work was protected from unauthorized modification, and also allowed their contributions to be tracked and credited for citation. In addition the workflow exported annotation collections in a preservable form for efficient access by the research community and for preservation.</p> <p>Developing an InvenioRDM corpus repository for the MUYA-IIIF project enabled the digital version of the manuscript, together with the British Library metadata, to be presented without restrictions on the internet, and for the annotation collections to form a foundation for future research via down-loadable JSON datasets (JSON is technology-agnostic and can be employed by a wide range of current and future research software applications).</p> <p>SOAS now plans to extend the MUYA-IIIF repository with additional manuscripts based on fieldwork in India and Iran and through collaborations with other institutions worldwide. Long-term hosting of this data resource by the <em>hasdai</em> Partnership is already organized for 10 years and new developments such as the Oxford Common File Layout (OCFL) are enabling both very long-term preservation using LTO tape libraries and also cross repository interoperability for resilience as technologies continue to evolve.</p>
Online Workshop for Supporting Inclusive and Sustainable Research Infrastructure for Systematics by Connecting Scientists and their Specimens
<p>The project, "Supporting inclusive and sustainable research infrastructure for systematics (SISRIS) by connecting scientists and their specimens" is supported by a <a href="https://www.nsf.gov/awardsearch/showAward?AWD_ID=2247631&HistoricalAwards=false">conference grant from the US National Science Foundation</a> to Dr. Andrea Weeks (George Mason University; Ted R. Bradley Herbarium), and Drs. Shawn Zeringue-Krosnick and Twanelle Majors (Tennessee Tech University; Hollister Herbarium). It supports two US-based workshops and symposia at the 2023 annual meetings of the <a href="https://www.sebiologists.org/asb-2023.html">Association of Southeastern Biologists</a> and <a href="https://2023.botanyconference.org/">Botany 2023</a>. The purpose of the work is to share new practices that improve attribution of natural history specimens and highlight research advances in systematics that can be made as a consequence of improved people-data within biodiversity informatics databases. This four hour workshop was held Sunday August 6, 2023 in an online format to accommodate participants who could not attend the in-person event at Botany 2023 on July 23, 2023 in Boise, Idaho. The rationale and curriculum for the workshop are described on the project website: <a href="https://github.com/aweeks3/SISRIS">https://github.com/aweeks3/SISRIS</a>.</p>
Data from: A social-ecological database to advance research on infrastructure development impacts in the Brazilian Amazon
Recognized as one of the world's most vital natural and cultural resources, the Amazon faces a wide variety of threats from natural resource and infrastructure development. Within this context, rigorous scientific study of the region's complex social-ecological system is critical to inform and direct decision-making toward more sustainable environmental and social outcomes. Given the Amazon's tightly linked social and ecological components and the scope of potential development impacts, effective study of this system requires an easily accessible resource that provides a broad and reliable data baseline. This paper brings together multiple datasets from diverse disciplines (including human health, socio-economics, environment, hydrology, and energy) to provide investigators with a variety of baseline data to explore the multiple long-term effects of infrastructure development in the Brazilian Amazon.
Research Data and Code: Evaluating Railway Junction Infrastructure: A Queueing-Based, Timetable-Independent Analysis
<p>Research Data and Code for the publication:</p> <p>Evaluating Railway Junction Infrastructure: A<br>Queueing-Based, Timetable-Independent Analysis</p> <p>In Transportation Research Part C - Emerging Technologies</p> <p>DOI: https://doi.org/10.1016/j.trc.2024.104704</p>
IMPROVING THE AVAILABILITY AND USABILITY OF PLANETARY SPATIAL DATA RESEARCH BY SPATIAL DATA INFRASTRUCTURE OF CELESTIAL BODIES MODELING
<p>The rapid development of space technology and the increased interest in space exploration have resulted in the intensifying of observation of celestial bodies, mostly in the solar system, over the past decade with the prospect of an upward trend in the future. Data collected by space missions are stored and provided to users for use through the archives of individual space agencies and specialized portals of space missions. Users often encounter many problems when searching and retrieving data of interest, despite the fact that access to data is open for all groups of users. Current ways of storing and shearing this valuable data set are focused on their long-term archiving and are largely adapted for space scientists with inadequate access and search functionalities that do not meet the needs of a wider group of users. To search for data, users must have some prior knowledge and invest a lot of time and effort, and the available functionalities gives too many of the same or similar data filtering results that, in most cases, cannot be visualized before downloading. For this reason, the data remains unused, and in order to solve this problem, large amounts of collected data on space bodies, of which most are spatially defined, impose the need to develop the spatial data infrastructure of celestial bodies (SDICB) at the general level in order to enable standardized organization and storage of these data, and their efficient use and exchange. In order to approach to the development of such an infrastructure, it is necessary to investigate what data, as well as how and to what extent, are collected through the space observation, either from Earth, Earth orbit or from space probes. It is also necessary to investigate how this data can be obtained and to explore concepts of spatial data infrastructure, the possibilities of its establishment and operationalization. This doctoral dissertation provides a detailed overview of current ways of storing and distributing space research data and their shortcomings and explores the possibility of modeling the establishment of SDICB. In order to adequately approach the development of the model, user needs assessment and analysis of the current data archiving situation was conducted. These results served as input parameters for modeling SDICB and the adoption of guidelines (recommendations) for the establishment. The proposed model is focused on user needs and improving the functionality of data access by applying international standards of spatial data and open-source technologies to make space data available to the general public and enable their easy search, download and interpretation. For the proposed model, an implementation project with a five-year implementation period was created, for which a feasibility study was conducted, and the benefits of SDICB implementation for all involved stakeholders were investigated.</p>
Data from: A social-ecological database to advance research on infrastructure development impacts in the Brazilian Amazon
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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)
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DANDI Archive for NWB datasets
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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.