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129 results for “Future Research”
UB2030 | The Future of Research Libraries as Knowledge Hubs | Interviews
<p>UB2030 is a podcast about the innovation of the university library through technological changes and shifts in research and education. In this podcast, David Oldenhof and Maurice Vanderfeesten discuss different subjects. They will be accompanied by guests who bring in an outside perspective.</p> <p>This release contains 11 episodes.</p> <p>Follow for more at <a href="https://ubvu.github.io/ub2030/">https://ubvu.github.io/ub2030/</a></p> <p>📖 <a href="https://doi.org/10.5281/zenodo.14615659"><strong>CLICK TO READ THE REPORT</strong></a></p> <p>🎧<strong>Listen on</strong> <a href="https://soundcloud.com/vu-library-live/sets/ub2030-the-future-of-research-libraries"><strong>SoundCloud</strong></a>, <a href="https://open.spotify.com/show/7dgTKn69lE3cnvs7CKv59v"><strong>Spotify</strong></a>, or your favorite <a href="https://antennapod.org/">(open)</a> podcast app.</p> <ul> <li>Authors: Maurice Vanderfeesten, David Oldenhof</li> <li>Client: Joeri Both</li> <li>Organization: <a href="https://vu.nl/nl/over-de-vu/diensten/universiteitsbibliotheek">University Library, Vrije Universiteit Amsterdam</a></li> <li>Date: 2023-05-19</li> </ul> <p><a href="https://doi.org/10.5281/zenodo.14615659" target="_blank" rel="noopener">DOI:10.5281/zenodo.14615659</a> (Rapport)</p> <p><a href="https://doi.org/10.5281/zenodo.10666049" target="_blank" rel="noopener">DOI:10.5281/zenodo.10666049</a> (Data)</p> <p><a href="https://ubvu.github.io/ub2030/">Project Page</a> | <a href="https://soundcloud.com/vu-library-live/sets/ub2030-the-future-of-research-libraries">Listen on SoundCloud</a> | <a href="https://feeds.soundcloud.com/users/soundcloud:users:527805591/sounds.rss">Podcast RSS</a> | <a href="https://forms.office.com/e/KX08BEenpu">Listener Feedback</a></p> <h2>Reason (Why Now)</h2> <p>The world is rapidly changing technologically, around AI, blockchain (NFTs), and linked data. As a library, you want to remain relevant for state-of-the-art research and education. We need to not only implement existing projects but also explore the horizon of opportunities and threats that await us. The client for this project is Joeri Both.</p> <h2>Project Goal (Why and How)</h2> <ul> <li>This project provides input for the next multi-year plan, creating a roadmap with a horizon up to 2030.</li> <li>With this project, we aim to increase the knowledge level of the UB by identifying key innovative/disruptive developments, to become a full-fledged partner for providers of (new) technological applications.</li> <li>From there, we translate innovative developments/trends into UB practice in broad terms, offering suggestions for workable/realistic pilot projects that contribute to the UB ambitions for researchers.</li> <li>The approach is to deliver an innovation sub-report each month, including a podcast episode, with the aim of making innovation an actively discussed topic within the UB.</li> <li>This gives the management team insight into the wide range of possibilities and developments, allowing them to make strategic choices for starting pilots and better embedding the innovation process in the organization.</li> </ul> <h2>Project Scope (What is and isn't included)</h2> <p>Through interviews, we gather information and ideas from each department and external experts. This information is linked to the ambition themes in the multi-year plan, focusing mainly on technological developments and their impact on our work processes and product/service offerings. The collected information is available in the form of an audio recording/podcast and interview report. For the Research Support department, these ideas are further developed into pilot proposals on three implementation levels: short, medium, and long term. The interviews are scheduled per department, divided into the themes of the ambitions in the multi-year plan.</p> <h2>Episodes</h2> <ul> <li><a href="https://github.com/ubvu/ub2030/blob/main/ub2030-01-introductie/"><strong>Episode 01 -- Introduction</strong></a></li> <li><a href="https://github.com/ubvu/ub2030/blob/main/ub2030-02-rdm/"><strong>Episode 02 -- Future of Research Data Management and Research Software Management</strong></a></li> <li><a href="https://github.com/ubvu/ub2030/blob/main/ub2030-03-research_intelligence/"><strong>Episode 03 -- Future of Research Intelligence</strong></a></li> <li><a href="https://github.com/ubvu/ub2030/blob/main/ub2030-04-open_science/"><strong>Episode 04 -- Future of Open Science</strong></a></li> <li><a href="https://github.com/ubvu/ub2030/blob/main/ub2030-05-research_support/"><strong>Episode 05 -- Future of Research Support</strong></a></li> <li><a href="https://github.com/ubvu/ub2030/blob/main/ub2030-06-digital_services_and_infrastructures/"><strong>Episode 06 -- Future of Digital Services and Infrastructures</strong></a></li> <li><a href="https://github.com/ubvu/ub2030/blob/main/ub2030-07-education_support/"><strong>Episode 07 -- Future of Education Support</strong></a></li> <li><a href="https://github.com/ubvu/ub2030/blob/main/ub2030-08-special_collections/"><strong>Episode 08 -- Future of Special Collections</strong></a></li> <li><a href="https://github.com/ubvu/ub2030/blob/main/ub2030-09-information_services/"><strong>Episode 09 -- Future of Information Services (not public)</strong></a></li> <li><a href="https://github.com/ubvu/ub2030/blob/main/ub2030-10-library_desk_services/"><strong>Episode 10 -- Future of Library Desk Services</strong></a></li> <li><a href="https://github.com/ubvu/ub2030/blob/main/ub2030-11-aquisition_and_metadata/"><strong>Episode 11 -- Future of Acquisition and Metadata (canceled)</strong></a></li> <li><a href="https://github.com/ubvu/ub2030/blob/main/ub2030-12-society/"><strong>Episode 12 -- Future of the Library in Society</strong></a></li> <li><a href="https://github.com/ubvu/ub2030/blob/main/ub2030-bonus-01-desci/"><strong>Episode 13 -- BONUS DeSci: Future of Open Science Ecosystems</strong></a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/ubvu/ub2030/compare/v1.1...v1.6">https://github.com/ubvu/ub2030/compare/v1.1...v1.6</a></p>
A 31-Year Bibliometric Review of Team Effectiveness Research: Evolution, Trends, and Future Directions (DATA).
<p>This dataset is derived from a comprehensive study of team effectiveness over three decades, utilizing bibliometric techniques to examine scholarly publications across multiple databases. The repository includes bibliometric data from 6,051 publications related to team effectiveness, featuring metadata such as authors, titles, publication years, citations, and keywords.</p> <h3>Repository Structure:</h3> <p>The data shared in this repository is organized as follows:</p> <ul> <li><strong>Bibliometrix database.xlsx:</strong> This excel file contains information on 6051 publications in the field of Team Effectiveness downloaded from the Scopus and Web of Science databases using specific search terms and inclusion criteria detailed in our associated paper (see our publication for more information on the methodology). The file contains the necessary headers for direct use in the Biblioshiny interface of the bibliometrix library for R.</li> <li><strong>List of stop words.txt:</strong> This file contains keywords, separated by commas, that we have decided to eliminate from our analyses due to their potential to introduce bias in the results.</li> <li><strong>List of synonyms.txt:</strong> This file contains groups of semantically synonymous keywords, separated by semicolons. Each line represents a group of synonyms, with the first keyword being the one that Bibliometrix will use to replace all other keywords in that line.</li> <li><strong>Appendix [A-H].pdf:</strong> List of appendices that complement the results of the study carried out.</li> </ul> <h3>Recommended Usage:</h3> <div> <div> <div> <div> <p>This dataset is ideal for researchers interested in conducting new analyses of research trends, co-authorship network analysis, and thematic evolution in the field of team effectiveness. For example, researchers can narrow the scope to focus exclusively on team effectiveness in educational contexts. Our publication provides all the necessary details to replicate or extend our methodology. For any queries related to the data, please contact <strong>Yeray Barrios-Fleitas</strong> at <em><a rel="noreferrer">y.d.c.barriosfleitas@utwente.nl</a></em>.</p> </div> </div> </div> </div> <div> </div> <h3>License and Citation:</h3> <p>The data are distributed under the CC BY license. Please cite any use of this dataset using the following format:<br>Barrios Fleitas, Y., Marcella A.M.G., Eysink, T.H., & Rensink , A. (2025). A 31-Year Bibliometric Review of Team Effectiveness Research: Evolution, Trends, and Future Directions. ZENODO, <a href="https://doi.org/10.5281/zenodo.12082529" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12082529</a></p>
The evolution and future of research on Nature-based Solutions to address societal challenges
<p>This dataset comprises the bibliographic text files used to analyse the Nature-based Solutions research landscape as presented in:</p> <ul> <li>Dunlop, T., Khojasteh, D., Cohen-Shacham, E., Glamore, W., Haghani, M., van den Bosch, M., Rizzi, D., Greve, P., Felder, S. The Evolution and Future of Research on Nature-based Solutions to Address Societal Challenges. <em>Communications Earth & Environment</em>. 2024.</li> </ul> <p>Excel spreadsheets containing data for the Global Water Security Index (Gain et al., 2016) presented in Figure 2 and the data required to reproduce Figures 1 and 2 in the paper above are also shared.</p>
NOAA NCCOS Assessment: Prioritizing Areas for Future Seafloor Mapping, Research, and Exploration Offshore of California, Oregon, and Washington from 2019-03-01 to 2019-04-01
<p>Spatial information about the seafloor is critical for decision-making by marine resource science, management and tribal organizations. Coordinating data needs can help organizations leverage collective resources to meet shared goals. To help enable this coordination, the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) developed a spatial framework, process and online application to identify common data collection priorities for seafloor mapping, sampling and visual surveys offshore of the West Continental United States Coast (WCC). Twenty-six participants from NOAA’s West Coast Deep Sea Coral Initiative (WCDSCI) and Expanding Pacific Research and Exploration of Submerged Systems (EXPRESS) entered their priorities in an online application, using virtual coins to denote their priorities in 10x10 minute grid cells. Grid cells with more coins were higher priorities than cells with fewer coins. Participants also reported why these locations were important and what data types were needed. Results were analyzed and mapped using statistical techniques to identify significant relationships between priorities, reasons for those priorities and data needs. Ten high priority locations were broadly identified for future mapping, sampling and visual surveys. These locations were distributed throughout the WCC, primarily in depths less than 1,000 m. Participants consistently selected (1) Exploration, (2) Biota/Important Natural Area and (3) Research as their top reasons (i.e., justifications) for prioritizing locations, and (1) Benthic Habitat Map and (2) Bathymetry and Backscatter as their top data or product needs. This ESRI shapefile summarizes the results from this spatial prioritization effort. This information will enable NOAA WCDSCI, EXPRESS and other WCC organization to more efficiently leverage resources and coordinate their mapping of high priority locations along California, Oregon and Washington. </p> <p>This effort was funded by NOAA’s Deep Sea Coral Research and Technology Program (DSCRTP) through its WCDSCI. The overall goal of the project was to systematically gather and quantify suggestions for seafloor mapping, sampling and visual surveys for the WCDSCI and EXPRESS. The results are expected to help WCDSCI, EXPRESS and other organizations on the WCC to identify locations where their interests overlap with other organizations, to coordinate their data needs and to leverage collective resources to meet shared goals.</p> <p>There were four main steps in the WCC spatial prioritization process. The first step was to identify the technical advisory team, which included the 11 members of the DSCRTP WCDSCI Steering Committee and all of the participants involved in the EXPRESS campaign. This advisory team invited 37 participants for the prioritization. Step two was to develop the spatial framework and an online application. To do this, the WCC was divided into five subregions and 3,265 square grid cells approximately 10x10 minutes in size. Existing relevant spatial datasets (<em>e.g.</em>, bathymetry, protected area boundaries, etc.) were compiled to help participants understand information and data gaps and to identify areas they wanted to prioritize for future data collections. These spatial datasets were housed in the online application, which was developed using Esri’s Web AppBuilder. In step three, this online application was used by 26 participants to enter their priorities in each subregion of interest. Participants allocated virtual coins in the 10x10 minute grid cells to denote their priorities. Grid cells with more coins were higher priorities than cells with fewer coins. Participants also reported why these locations were important and what data types were needed. Coin values were standardized across the subregions and used to identify spatial patterns across the WCC region as a whole. The number of coins were standardized because each subregion had a different number of grid cells and participants. Standardized coin values were analyzed and mapped using statistical techniques, including hierarchical cluster analysis, to identify significant relationships between priorities, reasons for those priorities and data needs. This ESRI shapefile contains the 10x10 minute grid cells used in this prioritization effort and associated the standardized coin values overall, as well as by organization, justification and product. For a complete description of the process and analyses please see: Costa <em>et al</em>. 2019.</p>
FIG. 7 in The Miocene La Venta Biome (Colombia): A century of research and future perspectives
FIG. 7. — Reconstitution of the La Venta biome (Colombia). Illustration by Guillermo Torres. Banco de Imágenes Ambientales (BIA). Instituto de Investigaciones de Recursos Biológicos Alexander von Humboldt.
FIG. 6 in The Miocene La Venta Biome (Colombia): A century of research and future perspectives
FIG. 6. — Miocene Freshwater invertebrates from La Venta, Huila, Colombia: A-D, trichodactylid freshwater crab remains, assigned to Sylviocarcinus sp., from La Victoria and Villavieja formations (Honda Group); A, fixed finger (pollex) of right cheliped (claw), specimen VPPLT-0954; B, mobile finger (dactylus) of right cheliped, specimen VPPLT-1306; C, D, articulated right cheliped, outer (C) and inner (D) views, showing details of the dactylus, propodus and pollex, specimen IGM 89-499, Colombian Geological Survey; E, F, freshwater bivalves, tentatively assigned to Anodontites Bruguière, 1792; G, H, gastropods. The bivalves and gastropods are possibly from the Barzalosa Formation, surveyed at locality Río Cabrera (La Venta region), from the Hoffstetter's collection housed by Muséum national d'Histoire naturelle, Paris. Scale bars: A, 5 mm; B-H, 10 mm.
FIG. 3 in The Miocene La Venta Biome (Colombia): A century of research and future perspectives
FIG. 3. — Paleontological research and outreach in La Victoria, Colombia: A, B, Images of the exhibit Fossil Territory, Living Stories at the Museo de Historia Natural La Tatacoa (MHNT) (Oviedo et al. 2023); C, researchers working at the MHNT; D, the Vanegas brothers, Rubén (left) and Andrés (right), who manage the MHNT and founders of Vigías; E, celebration event in La Victoria organized by the MHNT on the occasion of the 100 years of paleontological research in the region; F, César Perdomo, fossil collector and founder of the Museo La Tormenta prospecting for fossils; G, researchers, students, journalists and members of Vigías that participated in the fieldwork in 2023. All the photos were taken during the fieldwork in May 2023 by C. Ziegler.
FIG. 4 in The Miocene La Venta Biome (Colombia): A century of research and future perspectives
FIG. 4. — Selection of fossils from La Tatacoa Desert housed at the Museo de Historia Natural La Tatacoa, including some specimens featured in this thematic issue: A, Lepidosiren paradoxa (VPPLT 1483); B, parieto-supraoccipital frontal fragment of Phractocephalus sp. (VPPLT 1272; Carrillo-Briceño et al. 2023); C, skull of Purussaurus neivensis; D, skeleton of Caimaninae; E, skull of Caninemys tridentata Meylan, Gaffney & de Almeida Campos, 2009 (VPPLT-1720; Cadena et al. 2021); F, shell of Podocnemis tatacoensis Cadena & Vanegas, 2023 (VPPLT 1727; Cadena & Vanegas 2023); G, skull of Miocochilius anomopodus Stirton, 1953 (VPPLT 1512); H, skull of "Prodolichotis" pridiana Fields, 1957 (VPPLT 1614); I, skull of Anachlysictis gracilis Goin, 1997 (VPPLT 1612; Suarez et al. 2023); J, partial mandible of Megadolodus molariformis McKenna, 1956 (VPPLT 974; Carrillo et al. 2023); K, skull of Cebupithecia sarmientoi Stirton & Savage, 1950. Abbreviation: VPPLT, Vigías del Patrimonio Paleontológico La Tatacoa. Specimens are not shown to scale. Photos by C. Ziegler.
FIG. 5 in The Miocene La Venta Biome (Colombia): A century of research and future perspectives
FIG. 5. — Fabaceae fossil wood from La Venta (VPPLT 008): A, diffuse porous wood, solitary vessels and in radial multiples of two vessels, aliform parenchyma (arrow); B, banded parenchyma in tangential lines; C, intervascular pits (arrow), uniseriate rays and non-septate fibers; D, vessel-ray parenchyma pits similar to intervessel pits (arrow), simple perforation plates (PP) and weakly heterocellular rays (RLS); E, fossil wood of Fabaceae (VPPLT 008) in the Cerro Gordo Beds. Scale bars: A, 500 µm; B-D, 200 µm.
FIG. 2 in The Miocene La Venta Biome (Colombia): A century of research and future perspectives
FIG. 2. — Cumulative number of publications from the La Venta fossil site during a century of paleontological research. The results are derived from a compilation of all the publications produced in La Venta that were compiled in a database (see Appendix 2).
FIG. 1 in The Miocene La Venta Biome (Colombia): A century of research and future perspectives
FIG. 1. — Location and landscape of La Tatacoa Desert, Colombia: A, geographic location of La Venta fossil site in the Magdalena Valley, Colombia. Modified from Zapata et al. (2023); B, badlands of La Tatacoa Desert. Abbreviations: WC, Western Cordillera; CC, Central Cordillera; EC, Eastern Cordillera; LV, La Venta. Photo by C. Ziegler.
FIG. 1 in The "Our Planet Reviewed" Mitaraka 2015 expedition: a full account of its research outputs after six years and recommendations for future surveys
FIG. 1. — Number of species published by semester from the end of the expedition, with first semester: July-December 2015, and last semester: January-July 2021. The expedition was accomplished in August 2015.
FIG. 4 in The "Our Planet Reviewed" Mitaraka 2015 expedition: a full account of its research outputs after six years and recommendations for future surveys
FIG. 4. —Density map of the shared data from the GBIF portal (https://www.gbif.org) for insects at the scale of the Guiana Shield. Only data with a high occurrence resolution (<1 km) are included.
FIG. 2 in The "Our Planet Reviewed" Mitaraka 2015 expedition: a full account of its research outputs after six years and recommendations for future surveys
FIG. 2. — Number of new (non-marine) animal species of French Guiana's fauna described since 2000. New species collected during the Mitaraka survey are indicated in colour.
FIG. 5 in The "Our Planet Reviewed" Mitaraka 2015 expedition: a full account of its research outputs after six years and recommendations for future surveys
FIG. 5. — Number of holotypes collected according to the different techniques used. Abbreviations: BS, beating sheet; HC, hand collecting; PVB, cross flight intercept trap with a blue LED; PVP, idem, with pink LED; PGL, idem, with GemLight; BPT, blue pan trap; SLAM, sea and land air malaise trap; SW & NS, sweeping & net sweeping; WPT, white pan trap; YPT, yellow pan trap (for a more detailed description of the techniques, see Touroult et al. 2018).
FIG. 6 in The "Our Planet Reviewed" Mitaraka 2015 expedition: a full account of its research outputs after six years and recommendations for future surveys
FIG. 6. — Level of compliance with recommendations for citation of expedition, ABS authorization and deposit of specimens according to two discriminating variables (n = 90 articles).
Figure 4 in Agricultural Research Service Weed Science Research: Past, Present, and Future
Figure 4. Agricultural Research Service researchers have focused on understanding how climate change influences weeds/invasive plants and their impacts and management. Image shows a study of how precipitation change influences cheatgrass (Bromus tectorum) invasion in rangelands of northeast Wyoming, USA. (Credit: Anna Kuhne)
Figure 5. A in Agricultural Research Service Weed Science Research: Past, Present, and Future
Figure 5. A conceptual framework providing context for addressing challenges for managing weeds in agroecosystems and natural areas.
Figure 3. Sorgoleone has a in Agricultural Research Service Weed Science Research: Past, Present, and Future
Figure 3. Sorgoleone has a potential as a plant-incorporated protectant herbicide. The highly bioactive benzoquinone allelochemical sorgoleone is produced exclusively within root hair cells of members of the genus Sorghum. Genes of the entire sorgoleone pathway are being used to transform crops to produce sorgoloeone (Pan et al. 2021).
Figure 2 in Agricultural Research Service Weed Science Research: Past, Present, and Future
Figure 2. (A) Depiction of a bipartite synthetic Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) cassette (red) consisting of a Cas9 endonuclease and a guide ribonucleic acid RNA (gRNA) that is flanked by homology arms (HA) (black). (B) Following expression of the CRISPR cassette, gRNA binds to Cas9 and directs the complex to a unique sequence-specific site for DNA cleavage and homology-directed repair (HDR). Following HDR, the CRISPR cassette is copied into both genomic regions. (C) Standard Mendelian inheritance results in 50% of progeny inheriting a modified gene. In contrast, a gene drive would bias inheritance, theoretically resulting in all progenies (~99%) inheriting the modified gene, thereby "driving" the modified gene into an invasive weed population.
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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.