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115 results for “Scientific research”
Open Science Policies as Regarded by the Communities of Researchers from the Basic Sciences in the Scientific Periphery: Major themes, subthemes and selected interview quotes
<p>Data annex containing major themes, subthemes and selected interview quotes of the article Open Science Policies as Regarded by the Communities of Researchers from the Basic Sciences in the Scientific Periphery.</p>
Research Funding in the Middle East and North Africa: Analyses of Acknowledgments in Scientific Publications (unified funders)
<p>This dataset is the result of the unification of funder names acknowledged in scientific publications indexed in the Web of Science with at least one author affiliated to an institution located in the Middle East and North Africa.</p> <p>This list contains 1,039 unified names of funders from the 22 MENA countries as of 16 March 2023 along with their type and country.</p>
Harmonized terminology for scientific research
<p>The Data Collection Framework (DCF) application is constituted of an interactive web-based application that aims at facilitating data exchange, data extraction, and data reusability. A harmonized terminology is used to collect and analyse data in a coherent way with the aim to support scientific research.</p> <p>DCF_catalogues file contains all the valid catalogues published in the DCF. Catalogue format is compatible with Catalogue Browser (java application available here: https://github.com/openefsa/catalogue-browser/wiki)</p> <p>Catalogue_list file contains the list of all catalogues, each with its scopenote, explaining the content of the catalogue itself.</p>
Analysis of shared research data in Spanish scientific papers about COVID-19: a first approach
<p><strong>Introduction:</strong> During the coronavirus pandemic, changes in the way science is done and shared occurred, which motivates meta-research to help understand science communication in crises and improve its effectiveness. <strong>Objective: </strong>To study how many Spanish scientific papers on COVID-19 published during 2020 share their research data. <strong>Methodology:</strong> Qualitative and descriptive study applying nine attributes: (1) availability, (2) accessibility, (3) format, (4) licensing, (5) linkage, (6) funding, (7) editorial policy, (8) content and (9) statistics. <strong>Results:</strong> We analyzed 1340 papers, 1173 (87.5%) did not have research data. 12.5% share their research data of which 2.1% share their data in repositories, 5% share their data through a simple request, 0.2% do not have permission to share their data and 5.2% share their data as supplementary material. <strong>Conclusions:</strong> There is a small percentage that shares their research data, however it demonstrates the researchers' poor knowledge on how to properly share their research data and their lack of knowledge on what is research data.</p>
Mapping of Global Scientific Research in Comorbidity and Multimorbidity: A Cross-Sectional Analysis
<p>"Mapping of Global Scientific Research in Comorbidity and Multimorbidity: A Cross-Sectional Analysis" -- October<br> 2017, prepared by F. Catalá López, A. Adolfo Alonso-Arroyo and R. Aleixandre-Benavent (on behalf of the team of co-authors).</p> <p>Publication of the results is under preparation (manuscript submitted to PLOS ONE).</p>
Current trends in scientific research on global warming: A bibliometric analysis (2005-2014)
<p>This dataset was created in the context of the project: " Current trends in scientific research on global warming: A bibliometric analysis (2005-2014)".</p> <p>---</p> <p>Global warming is a topic of increasing public importance, but there have not been published scientometric studies on this topic. The objective of this paper is to contribute to a better understanding of the scientific knowledge in global warming and his effect, as well as to investigate its evolution through the published papers included in Web of Science database. Items under study were collected from Web of Science database from Thomson Reuters. A bibliometric and social network analyses was performed to obtain indicators of scientific productivity, impact and collaboration between researchers, institutions and countries. A subject analysis was also carried out taking into account the key words assigned to papers and subject areas of journals. 1,672 articles were analysed since 2005 until 2014. The most productive journals were Journal of Climate (n=95) and Geophysical Resarch Letters (n=78). The most frequent keywords have been Climate Change (n=722), Model (n=216) and Temperature (n=196). The network of collaboration between countries shows the central position of the United States, together with other leading countries such as United Kingdom, Germany, France and Peoples Republic of China. The research on global warming had grown steadily during the last decade. A vast amount of journals from several subject areas publishes the papers on the topic, including journals of general purpose with high impact factor. Almost all the countries have USA as the main country with which one collaborates. The analysis of key words shows that topics related with climate change, impact, temperature, models and variability are the most important concerns on global warming.</p> <p>---</p> <p>The dataset consist of the following:</p> <p>1) The list of papers included in the analyses: Papers.xlsx</p> <p>This file contains 1672 titles, each line representing a paper (including title of the paper, journal ISSN and year of publication).</p> <p>2) The list of authors: Authors.xlsx</p> <p>This file contains all 4488 authors, each line representing an author (including full name, total number of papers and year of publication).</p> <p>3) The list of scientific journals: Journals.xlsx</p> <p>This file containts all 687 journals, each line representing a journal (including name of the journal, ISSN, total number of papers and year of publication).</p> <p>4) The list of countries: Country.xlsx</p> <p>This file contains all 84 countries, each line representing a country (including country name, total number of papers, total number of citations, and number of citations per paper).</p> <p>5) The list of keywords: Keywords.xlsx</p> <p>This file contains all 6422 keywords, each line representing a keyword (including keywords, number of papers and year of publication)</p>
DISCERN 2: Duke Innovation & SCientific Enterprises Research Network
<p>The DISCERN dataset was developed to support academic research on corporate innovation by linking data on U.S. publicly listed firms from Standard & Poor’s Compustat database to their patents and scientific publications. A key feature of DISCERN is its comprehensive coverage of firms’ subsidiaries and their ownership changes over time, which is crucial for accurately mapping corporate innovation. Patents and publications may be assigned to various legal entities within a firm’s organizational structure. Subsidiaries may change ownership in M&A events. By accounting for these ownership linkages over time, DISCERN enables researchers to construct more precise measures of firms’ knowledge production and examine the factors influencing their R&D investment decisions.</p> <p>Version 2.0 incorporates several key improvements over the previous version of DISCERN. First, we shift to using the PatentsView database as the main source of patent data and OpenAlex as the main source of scientific publication data. PatentsView is publicly available and continuously maintained directly by the United States Patents & Trademarks Office (USPTO). OpenAlex is currently the only open data source of scientific publication metadata. Using freely available data sources allows us to share both the patent and the publication datasets openly. This enhances data access, which was previously limited due to the use of propriety data. Second, the updated dataset now covers the period from 1980 to 2021, providing an additional six years of data. Third, we transition to using Securities and Exchange Commission (SEC) filings as the primary source of subsidiary data, allowing us to trace ownership linkages further back to the mid-1990s and ensuring a higher degree of reliability compared to the Orbis data used in the original version, which was less reliable and had comprehensive coverage only from 2008. Finally, by transitioning to PatentsView and additional data sourced from the USPTO, we expand the scope of the dataset to include pre-grant patent applications and patent re-assignment information. This addition allows users to study patent applications regardless of grant status and to observe ownership transitions beyond those related to mergers and acquisitions.</p> <p>A special thanks and appreciation go to Sanskriti Purohit and Ron Rabi for their diligent work and dedication to this effort.</p> <p>The dataset is freely available under the<a href="https://cdla.dev/open-use-of-data-agreement-v1-0/"> O-UDA-1.0 License</a>, permitting unrestricted use for research and commercial purposes. We request that users provide proper citations when utilizing the dataset. The license also allows for the creation of derivative datasets based on DISCERN, with the condition that creators ask their downstream users to cite the original authors appropriately.</p> <p><strong>If you use the data, please add these citations:</strong></p> <p>1. Arora, A., Belenzon, S., Cioaca, L., Sheer, L, Shin, H.M. & Shvadron, D. (2024). DISCERN 2.0: Duke Innovation & SCientific Enterprises Research Network [Dataset]. In Zenodo (CERN European Organization for Nuclear Research). <a href="../doi/10.5281/zenodo.3594642">https://doi.org/10.5281/zenodo.3594642</a></p> <p>2. Arora, A., Belenzon, S., Cioaca, L., Sheer, L, & Shvadron, D. (2024). Back to the Future: Are Big Firms Regaining their Scientific and Technological Dominance? Evidence from DISCERN 2.0 (available soon)</p> <p> </p>
Data underlying the manuscript: "Analysis of Research Data Sharing in Scientific Articles on Climate Change in the Covid-19 Year. The Spanish case 2020".
<p>This is the research data for the manuscript "Analysis of Research Data Sharing in Scientific Articles on Climate Change in the Covid-19 Year. The Spanish case 2020".<br>The following is the original abstract: Introduction: Sharing research data on climate change would facilitate the development of solutions to curb its impact, for this, data needs to be shared in an optimal way. General objective: To identify how many Spanish scientific articles on climate change published during 2020 share their research data in some way. Specific objectives: a) Identify the attributes of shared research data b) Describe the characteristics of the case studies found on how research data are shared. Methodology: Qualitative and descriptive study analyzing nine attributes: availability (1), accessibility (2), format (3), license (4), linkage (5), funding (6), editorial policy (7), content (8), statistics (9). Results: We analyzed 2212 articles were analyzed, 1867 (84%) articles had no associated research data. The remaining 16% have associated research data: 152 (7%) articles deposited their data in repositories, 42 (2%) submitted their data as supplementary material, 136 (6%) will share their data upon request to the author and 15 (1%) do not have publication permissions. Conclusions: Researchers are willing to share their research data, but under different conditions. Researchers who reused research data did not share the new data they generated. There is a lack of training among researchers on how to manage their research data. There is information on the web on this topic, but it is not just a matter of publishing manuals, but also of creating training spaces within universities, institutes and research centers to build a community of researchers committed to Open Science.</p>
LLM-Based Knowledge Graph Construction from Materials Research Scientific Literature
<p>This dataset was constructed by creating a benchmark of 349 manually annotated triples, which were extracted from four different research articles in the field of materials science.</p>
Data from: Undergraduate research experiences broaden diversity in the scientific workforce
New data highlight the importance of undergraduate research experiences (UREs) for keeping underrepresented science students on the pathway to a scientific career. We used a large-scale, 10-year longitudinal, multi-institutional, propensity score matched research design to compare the academic performance and persistence in science of students that participated in URE(s) compared to similar students that had no research experience. Results showed that students who completed 10-or-more hours of co-curricular faculty mentored research per week across two or more academic semesters or summers were significantly more likely to graduate with a science-related bachelor's degree, be accepted into a science-related graduate training program, and be training for or working in the scientific workforce six years after graduation. Importantly, the findings show that just having an URE was not enough to influence persistence in science—it required a commitment of 10-or-more hours per week over two-or-more semesters of faculty mentored research.
Data Matrix Theme-Specific Analysis of the Recommendation on Science and Scientific Researchers (RSSR): Open Access, Open Data, and Open Science
<p>This Table sets out findings from the mapping exercise conducted as part of the objectives of subtask 6.1 of the RRING project.</p> <p>Aim: Alignment of RRI to advance the UN SDGs.</p> <p>Objectives:</p> <ul> <li>Mapping the RSSR to the SDGs </li> </ul> <p>Mapping the RSSR to the SDGs is aimed at providing new perspectives, ideas and approaches that can help to improve the operationalization and implementation of each SDG, <em>by facilitating the integration of RRI (or RRI-like) practices in the SDGs, to make them more achievable.</em> The impact of the new perspectives, ideas and approaches in SDG operationalization and implementation will be aimed at the level of <em>national and international policy (making); future research and innovation projects (in industry and academia); as well as education and training of researchers, policy makers and other stakeholders.</em></p> <p>Two documents were used for this task:</p> <ul> <li>2017 Recommendation on Science and Scientific Researchers ([RSSR], UNESCO), and</li> <li>the United Nations 2030 Agenda for Sustainable Development with the 17 Sustainable Development Goals (SDGs).</li> </ul>
Database underlying the scientific publication: A global database of seahorse research and innovation, from the beginning to 2022
<p>The present database supports the study "A global database of seahorse research and innovation, from the beginning to 2022". </p> <p>Scientific knowledge on seahorses is rapidly expanding in response to declines in wild populations due to habitat loss and fishing. A plethora of information has accumulated and up until now, a global, publicly available, curated database has never been produced in a transparent and systematic way. Here, we present the largest open-access repository of scientific publications addressing seahorses and, for the first time, of theses and patents. Compilation followed the “Preferred Reporting Items for Systematic reviews and Meta-Analyses” (PRISMA) Statement for systematic reviews and meta-analyses, with modifications. The current repository duplicates the number of scientific publication records found from previous bibliometric/literature/review studies, using three extra repositories of source publications, and a lifetime window, <em>e.i</em>. from the beginning to March 2022. A total of 977 scientific publications, 101 theses and 533 patents are gathered in the dataset, covering 41 seahorse species out of 48 currently recognized. In addition, current work presents for the first time new metrics on authors, institutions, and research subject/field/discipline/thematic, as well as the organism’s stage of development (embryo, newborn, juvenile, subadult and adult). To expand metadata usage, the database was also made available in the Dublin Core™ Metadata Initiative format. This contribution can be used as a core reference for scientists, aquaculturists and conservationists, and is useful to rapidly identify relevant literature and knowledge gaps, better understand seahorse research and discover new trends in seahorse research and innovation.</p> <p>The database is available in two formats:</p> <p>1) <a href="https://zenodo.org/api/files/5651b70d-a7a0-45e6-8ce6-cb92bbe6f7e5/SeahorseBibliometricDatabase.xlsx">SeahorseBibliometricDatabase.xlsx</a></p> <p>and</p> <p>2) <a href="https://zenodo.org/api/files/5651b70d-a7a0-45e6-8ce6-cb92bbe6f7e5/SeahorseBibliometricDatabase_DublinCore.xlsx">SeahorseBibliometricDatabase_DublinCore.xlsx</a>, which is a vocabulary standardized (Dublin Core™ Metadata Initiative) version of the previous one, for metadata reuse.</p>
Supplemental networks of cowords of the paper Measuring the impact of Big Data in the scientific research in Agriculture and allied fields
<p>Supplemental networks of cowords of the paper Measuring the impact of Big Data in the scientific research in Agriculture and allied fields.</p>
Gender Gaps in Scientific Research: A Systematic Review
<p><strong>Background: </strong>The gender gaps present in the field of scientific and academic research generate discrimination and lack of equal opportunities for women, resulting in several barriers that significantly limit women's scientific productivity. The objective was to identify the main gender gaps in productivity and scientific research.</p> <p><strong>Method: </strong>The researchers conducted a systematic search for articles on gender disparities in women's scientific production in the SCOPUS and REDALYC repositories, taking into account manuscripts in English, Spanish and Portuguese. Articles on gender gaps in scientific production were included, while empirical studies with other approaches to gender discrimination were excluded. Studies that did not address gender differences in scientific research, those that focused only on specific scientific disciplines without taking gender into account, and those that were not available in their entirety were excluded. The search and selection were conducted from May and June 2023. To avoid stumbling blocks, other methods were used, such as initially filtering titles based on a search equation and then excluding those that did not address gender differences in scientific research. Next, manuscripts were reviewed and those that did not meet the inclusion criteria were excluded. Finally, the remaining research was thoroughly reviewed to obtain the information needed for the study.</p> <p><strong>Results: </strong>A total of 23 articles were analyzed, addressing various issues such as discrimination, lack of policies to support women, academic inequalities and other factors that make female participation more difficult.</p> <p><strong>Conclusion: </strong>The main findings revealed gender gaps that have an impact on worldwide female scientific production. The literature frequently focuses on low output without investigating the causes. When they approach, they just treat the surface. Future research should focus on gender disparities in production, as well as the daily challenges women face in research and scientific production.</p>
Data from: Undergraduate research experiences broaden diversity in the scientific workforce
Open the record for dataset details and reuse information.
Data from: A framework for sharing power in research teams and promoting justice in scientific publication
Open the record for dataset details and reuse information.
LA INVESTIGACIÓN CIENTÍFICA SOBRE LA GUACAMAYA VERDE (Ara militaris Linnaeus, 1766) Y LA COTORRA SERRANA (Rhynchopsitta pachyrhyncha Swainson, 1827): ANÁLISIS BIBLIOMÉTRICO = THE SCIENTIFIC RESEARCH ON MILITARY MACAW (Ara militaris Linnaeus, 1766) AND THICK-BILLED PARROT (Rhynchopsitta pachyrhyncha Swainson, 1827): BIBLIOMETRIC ANALYSIS
<p>Research data from an article with the abstract: Thick-billed Parrot (<em>Rhynchopsitta pachyrhyncha</em>) and Military Macaw (<em>Ara militaris</em>) are two species of endangered parrots due to habitats destruction and land-use change. Review the actual scientific research and its trends helps to assess whether the efforts made contribute to efficient conservation. The goal of this work is to obtain an overview of the scientific research on these birds, as well as to identify the most studied topics and those ones necessary to be research. 82 records related to this matter were obtained from Scopus and Web of Science databases, which were published from 1967 to 2019. Unidimensional and bidimensional bibliometric indicators were realyzed. The least inquired topics correspond to pathologies, controlled studies, animal experimentation and molecular biology. Important topics were proposed for research and conservation of this species.</p>
Overview of Research Data Sharing Policies Across Various Scientific Publishers
<p><strong>Context </strong></p><p>With the aim of advancing trust in published research, (scientific) publishers are developing Research Data Sharing Policies for their portfolio. Some publishers have the same policy across all journals. For example for the publishers Frontiers and Springer-Nature, a Data Availability statement is mandatory for all journals in their portfolio. While other publishers have different policy levels depending on the journal (e.g. Elsevier, American Chemical Society). In this list, one will find a short overview of Research Data Sharing Policies across publishers (mostly relevant to the Faculty of Science at Utrecht University).</p><p><strong>Limitations</strong></p><p>The list of publishers does not encompass all scientific publishers. Some Research Data Sharing Policies might be subjected to change.</p>
The Fourth International Scientific – Practical Virtual Conference in "Green Energy: New Conceptual Vision and Multiplicative Effects" Organizers of the conference: MTÜ. The International Center for Research Education & Training. (Estonia Tallinn)
<p>The Fourth International Scientific – Practical Virtual Conference in "Green Energy: New Conceptual Vision and Multiplicative Effects" Organizers of the conference: MTÜ. The International Center for Research Education & Training. (Estonia Tallinn</p>
Cultivating scientific literacy and a sense of place through course-based urban ecology research
<p>Undergraduate research experiences have been shown to increase engagement, improve learning outcomes, and enhance career development for students in ecology. However, these opportunities may not be accessible to all students, and incorporating inquiry-based research directly into undergraduate curricula may help overcome barriers to participation and improve representation and inclusion in the discipline. The shift to online instruction during the COVID-19 pandemic has imposed even greater challenges for providing students with authentic research experiences, but the pandemic may also provide a unique opportunity for creative projects conducted remotely. In this paper, I describe a course-based undergraduate research experience (CURE) designed for an upper-level ecology course at California State University, Dominguez Hills during remote learning. The primary focus of student-led research activities was to explore the potential impacts of the depopulation of campus during the pandemic on urban coyotes (<em>Canis latrans</em>), of which there were increased sightings reported during this time. Students conducted two research studies, including an evaluation of urban wildlife activity, behavior, and diversity using camera traps installed throughout campus and an analysis of coyote diet using data from scat dissections. Students used the data they generated and information from literature reviews, class discussions, and meetings with experts to develop a coyote monitoring and management plan for our campus and create posters to educate the public. Using campus as a living laboratory, I aimed to engage students in meaningful research while cultivating a sense of place, despite being online. Students' research outcomes and responses to pre- and post-course surveys highlight the benefits of projects that are anchored in place-based education and emphasize the importance of ecological research for solving real-word problems. CUREs focused on local urban ecosystems may be a powerful way for instructors to activate ecological knowledge and capitalize on the cultural strengths of students at urban universities.</p>
ScienceDex guides
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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.