49 datasets found
  1. r

    Journal of theoretical and applied computer science Abstract & Indexing -...

    • researchhelpdesk.org
    Updated Feb 16, 2023
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    Research Help Desk (2023). Journal of theoretical and applied computer science Abstract & Indexing - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/abstract-and-indexing/351/journal-of-theoretical-and-applied-computer-science
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    Dataset updated
    Feb 16, 2023
    Dataset authored and provided by
    Research Help Desk
    Description

    Journal of theoretical and applied computer science Abstract & Indexing - ResearchHelpDesk - Journal of Theoretical and Applied Computer Science is published by the Computer Science Commision, operating within the Gdansk Branch of Polish Academy of Sciences and located in Szczecin, Poland. JTACS is an open access journal, publishing original research and review papers from the variety of subdiscplines connected to theoretical and applied computer science, including the following: Artificial intelligence Computer modelling and simulation Data analysis and classification Pattern recognition Computer graphics and image processing Information systems engineering Software engineering Computer systems architecture Distributed and parallel processing Computer systems security Web technologies Bioinformatics Abstract and indexing Doaj (Dicretroy of open access journals) Index copurnicus Baztech Google scholar

  2. r

    International Journal of Advanced Computer Science and Applications -...

    • researchhelpdesk.org
    Updated Feb 23, 2022
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    Research Help Desk (2022). International Journal of Advanced Computer Science and Applications - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/353/international-journal-of-advanced-computer-science-and-applications
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    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    International Journal of Advanced Computer Science and Applications - ResearchHelpDesk - International Journal of Advanced Computer Science and Applications - IJACSA is a scholarly computer science journal representing the best in research. Its mission is to provide an outlet for quality research to be publicised and published to a global audience. The journal aims to publish papers selected through rigorous double-blind peer review to ensure originality, timeliness, relevance, and readability. In sync with the Journal's vision "to be a respected publication that publishes peer reviewed research articles, as well as review and survey papers contributed by International community of Authors", we have drawn reviewers and editors from Institutions and Universities across the globe. A double blind peer review process is conducted to ensure that we retain high standards. At IJACSA, we stand strong because we know that global challenges make way for new innovations, new ways and new talent. International Journal of Advanced Computer Science and Applications publishes carefully refereed research, review and survey papers which offer a significant contribution to the computer science literature, and which are of interest to a wide audience. Coverage extends to all main-stream branches of computer science and related applications. Abstract & indexing Web of science Scopus Semantic scholar EBSCO host Serials solutions WorldCat

  3. f

    Community citation profile (Example).

    • plos.figshare.com
    • figshare.com
    xls
    Updated May 31, 2023
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    Samreen Ayaz; Nayyer Masood (2023). Community citation profile (Example). [Dataset]. http://doi.org/10.1371/journal.pone.0233765.t003
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Samreen Ayaz; Nayyer Masood
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Community citation profile (Example).

  4. H

    Journal of Cultural Analytics Article and Author Data (May 24, 2016-May 12,...

    • dataverse.harvard.edu
    Updated Sep 21, 2021
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    Sanderman, Erin; Verhoeven, Deb; Mandell, Laura (2021). Journal of Cultural Analytics Article and Author Data (May 24, 2016-May 12, 2021) [Dataset]. http://doi.org/10.7910/DVN/MEENAS
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 21, 2021
    Dataset provided by
    Harvard Dataverse
    Authors
    Sanderman, Erin; Verhoeven, Deb; Mandell, Laura
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    May 24, 2016 - May 13, 2021
    Description

    This dataset contains reference data taken from all articles, debates and datasets published in the Journal of Cultural Analytics between May 24, 2016 - May 13, 2021, and data describing the authors of these items. The article data includes titles, authors, publication dates, abstracts and article tags. Author data contains the author names, their institutional affiliation and academic positions. Geolocation coordinates for author institutions is also included in the author data.

  5. Calculation of K-index.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Samreen Ayaz; Nayyer Masood (2023). Calculation of K-index. [Dataset]. http://doi.org/10.1371/journal.pone.0233765.t006
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Samreen Ayaz; Nayyer Masood
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Calculation of K-index.

  6. m

    ROI article contributions

    • data.mendeley.com
    Updated Dec 12, 2022
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    David Rodríguez (2022). ROI article contributions [Dataset]. http://doi.org/10.17632/hjppt63s9b.1
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    Dataset updated
    Dec 12, 2022
    Authors
    David Rodríguez
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This repository contains the Contributions of the article "ROI: A method for identifying organizations receiving personal data". The distribution of the datasets is the following:

    Privacy Policies dataset This dataset ["Policies_urls.csv"] contains 142 privacy policy URLs with the corresponding organization. These URLs were obtained with the two methods (Selenium & Google) described in the article. This is the reason for duplicated URLs.

    300 Domain Holders This dataset ["300_domain_holders.xlsx"] contains three different sheets for each dataset used for the validations and described in the article i.e. Fortune 500, PII_receivers_1 (for the technique's evaluation), and PII_receivers_2 (for ROI's evaluation).

    Recipient Domains This dataset ["Domains_receiving_PII.csv"] contains 40,493 dataflows corresponding to the 1,112 unique domains along with the type of personal data which received from an Android app.

  7. S

    Research Question in Science Literature

    • scidb.cn
    Updated Dec 12, 2024
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    wang meng (2024). Research Question in Science Literature [Dataset]. http://doi.org/10.57760/sciencedb.16613
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 12, 2024
    Dataset provided by
    Science Data Bank
    Authors
    wang meng
    Description

    The Research Question Dataset (RQ-Dataset) contains 20,000 annotated sentences collected from peer-reviewed scientific articles across computer science, engineering, and biomedical domains. Each sentence is labeled as either a research question statement or non-research question statement.

  8. d

    Replication Data for: Data policies of highly-ranked social science journals...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Crosas, Mercè; Gautier, Julian; Karcher, Sebastian; Kirilova, Dessi; Otalora, Gerard; Schwartz, Abby (2023). Replication Data for: Data policies of highly-ranked social science journals [Dataset]. https://search.dataone.org/view/sha256:abea23473df08a024fd58ca97c69d1237e7c2adb86e4b006e7532fa0b409b10e
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Crosas, Mercè; Gautier, Julian; Karcher, Sebastian; Kirilova, Dessi; Otalora, Gerard; Schwartz, Abby
    Time period covered
    Jan 1, 2003 - Dec 12, 2017
    Description

    By encouraging and requiring that authors share their data in order to publish articles, scholarly journals have become an important actor in the movement to improve the openness of data and the reproducibility of research. But how many social science journals encourage or mandate that authors share the data supporting their research findings? How does the share of journal data policies vary by discipline? What influences these journals’ decisions to adopt such policies and instructions? And what do those policies and instructions look like? We discuss the results of our analysis of the instructions and policies of 291 highly-ranked journals publishing social science research, where we studied the contents of journal data policies and instructions across 14 variables, such as when and how authors are asked to share their data, and what role journal ranking and age play in the existence and quality of data policies and instructions. We also attempt to compare our results to the results of other studies that have analyzed the policies of social science journals, although differences in the journals chosen and how each study defines what constitutes a data policy limit this comparison. We conclude that a little more than half of the journals in our study have data policies. A greater share of the economics journals have data policies and mandate sharing, followed by political science/international relations and psychology journals. Finally, we use our findings to make several recommendations: Policies should include the terms “data”, “dataset” or more specific terms that make it clear what to make available; policies should include the benefits of data sharing; journals, publishers, and associations need to collaborate more to clarify data policies; and policies should explicitly ask for qualitative data.

  9. Dataset for the Article "Does the Venue of Scientific Conferences Leverage...

    • zenodo.org
    • data.niaid.nih.gov
    zip
    Updated May 4, 2021
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    Luca Bedogni; Luca Bedogni; Giacomo Cabri; Giacomo Cabri; Riccardo Martoglia; Riccardo Martoglia; Francesco Poggi; Francesco Poggi (2021). Dataset for the Article "Does the Venue of Scientific Conferences Leverage their Impact? A Large Scale study on Computer Science Conferences" [Dataset]. http://doi.org/10.5281/zenodo.4734183
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    zipAvailable download formats
    Dataset updated
    May 4, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Luca Bedogni; Luca Bedogni; Giacomo Cabri; Giacomo Cabri; Riccardo Martoglia; Riccardo Martoglia; Francesco Poggi; Francesco Poggi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This is the dataset for the article "Does the Venue of Scientific Conferences Leverage1their Impact? A Large Scale study on Computer2Science Conferences".

    Abstract:

    Is there any correlation between the impact of a scientific conference and the venue where it takes place?
    It seems that no one has tackled this issue before, so we decided to explore the possible implications.
    From the one hand, we considered the number of citations as indicator of the impact of a conference; from the other hand, we considered specific touristic indexes that characterize the venue.

    In this paper we report on the results of the large scale analysis we conducted on the bibliographic data we extracted from nearly 4000 conference series in the Computer Science area and over 2.5 million papers spanning more than 30 years of research. Interestingly, we found out that the two aspects are indeed related and this is shown by the detailed analysis of the data.

    Code to run the experiments is available at https://github.com/lbedogni/conference-touristicity

    Dataset structure

    In the city folder there is all the data needed to run the correlation experiments with the touristicity values for each city.

    In the country folder there is all the data needed to run the correlation experiments with the touristicity values for each country.

    All the csv files, which are:

    • corr_city_conf_kendall.csv
    • corr_city_conf_pearson.csv
    • corr_city_conf_spearman.csv
    • corr_state_conf_kendall.csv
    • corr_state_conf_pearson.csv
    • corr_state_conf_spearman.csv
    • swp.csv
    • year.csv
    • place_of_conference.csv

    Are convenience files which speed up the experiments, and which can be recreated, if needed, by running the code provided in the github repository.

  10. d

    Scientific Articles

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Sep 24, 2024
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    Zanotelli, Mattia (2024). Scientific Articles [Dataset]. https://search.dataone.org/view/sha256%3A4715eeab20e12caface39d6e585ee1b3c3ad2b24e982e9f4663575827b4e48ce
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    Dataset updated
    Sep 24, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Zanotelli, Mattia
    Description

    The dataset is in JSON format and contains information about 2463961 scientific articles. The uploaded version is a zipped file. Each element in the dataset represents an article and includes the following fields: id: Unique identifier for the article. submitter: Name of the person who submitted the article. authors: Names of the authors of the article. title: Title of the article. comments: Additional comments about the article such as number of pages and figures. journal-ref: Journal reference of the article. doi: Digital Object Identifier (DOI) of the article. report-no: Report number of the article. categories: Categories or subjects the article belongs to. license: License information of the article. abstract: Abstract or summary of the article. versions: List of versions of the article along with their creation dates. update_date: Date when the article was last updated. authors_parsed: Parsed information about the authors of the article.

  11. Machine Learning research papers

    • kaggle.com
    zip
    Updated Mar 24, 2021
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    Patrick Gomes (2021). Machine Learning research papers [Dataset]. https://www.kaggle.com/patrickgomes/machine-learning-papers-semantic-scholar
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    zip(115275 bytes)Available download formats
    Dataset updated
    Mar 24, 2021
    Authors
    Patrick Gomes
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Dataset

    This dataset was created by Patrick Gomes

    Released under CC0: Public Domain

    Contents

  12. Data from: BIP! NDR (NoDoiRefs): a dataset of citations from papers without...

    • zenodo.org
    • data.niaid.nih.gov
    application/gzip
    Updated Sep 13, 2024
    + more versions
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    Paris Koloveas; Paris Koloveas; Serafeim Chatzopoulos; Serafeim Chatzopoulos; Christos Tryfonopoulos; Christos Tryfonopoulos; Thanasis Vergoulis; Thanasis Vergoulis (2024). BIP! NDR (NoDoiRefs): a dataset of citations from papers without DOIs in computer science conferences and workshops [Dataset]. http://doi.org/10.5281/zenodo.13757999
    Explore at:
    application/gzipAvailable download formats
    Dataset updated
    Sep 13, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Paris Koloveas; Paris Koloveas; Serafeim Chatzopoulos; Serafeim Chatzopoulos; Christos Tryfonopoulos; Christos Tryfonopoulos; Thanasis Vergoulis; Thanasis Vergoulis
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    In the field of Computer Science, conference and workshop papers serve as important contributions, carrying substantial weight in research assessment processes, compared to other disciplines. However, a considerable number of these papers are not assigned a Digital Object Identifier (DOI), hence their citations are not reported in widely used citation datasets like OpenCitations and Crossref, raising limitations to citation analysis. While the Microsoft Academic Graph (MAG) previously addressed this issue by providing substantial coverage, its discontinuation has created a void in available data.

    BIP! NDR aims to alleviate this issue and enhance the research assessment processes within the field of Computer Science. To accomplish this, it leverages a workflow that identifies and retrieves Open Science papers lacking DOIs from the DBLP Corpus, and by performing text analysis, it extracts citation information directly from their full text. The current version of the dataset contains ~3.5M citations made by approximately 188K open access Computer Science conference or workshop papers that, according to DBLP, do not have a DOI.

    File Structure:

    The dataset is formatted as a JSON Lines (JSONL) file (one JSON Object per line) to facilitate file splitting and streaming.

    Each JSON object has three main fields:

    • “_id”: a unique identifier,

    • “citing_paper”, the “dblp_id” of the citing paper,

    • “cited_papers”: array containing the objects that correspond to each reference found in the text of the “citing_paper”; each object may contain the following fields:

      • “dblp_id”: the “dblp_id” of the cited paper. Optional - this field is required if a “doi” is not present.

      • “doi”: the doi of the cited paper. Optional - this field is required if a “dblp_id” is not present.

      • “bibliographic_reference”: the raw citation string as it appears in the citing paper.

    Changes from previous version:

    • Added more papers from DBLP.
  13. d

    Indexed NLP Article Metadata Dataset

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Dec 16, 2023
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    Canchila, Santiago; Meneses-Eraso, Carlos; Casanoves-Boix, Javier; Cortés-Pellicer, Pascual; Castelló-Sirvent, Fernando (2023). Indexed NLP Article Metadata Dataset [Dataset]. http://doi.org/10.7910/DVN/5YIGNG
    Explore at:
    Dataset updated
    Dec 16, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Canchila, Santiago; Meneses-Eraso, Carlos; Casanoves-Boix, Javier; Cortés-Pellicer, Pascual; Castelló-Sirvent, Fernando
    Time period covered
    Jan 1, 1987 - Apr 1, 2023
    Description

    his dataset consists of a curated collection of published, indexed articles (N=75527) related to Natural Language Processing (NLP) collected from Web Of Science, along with a classification into one of five categories depending on the approach to NLP used. Category 4: The abstract does not mention a particular model or technique. Some papers analyzing frameworks, surveys, papers centered the computer vision component of NLP and dataset proposals among others fall into this category. Category 0 (Rule-Based): A model based on rules or symbolic analysis is used. Category 1 (Statistical Methods): An approach using statistical methods is used. This includes BoWs, N-Grams, TF-IDF, along with other machine learning techniques like SVMs, Logistic Regression, LDA and others. Shallow neural network models like word2vec also belong in this category. Category 2 (Deep Learning): Approaches that use Deep Learning and other Deep Neural Network architectures such as RNNs, CNNs and LSTM are included in this category. Category 3 (Transformer Models): The approach proposed uses transformer based models, like BERT, GPT, T5 and others. It is to note that the classification could be imprecise, is not strictly defined and should be used only as a starting point. Fields: 'Authors', 'Article Title', 'Volume', 'Issue', 'Special Issue', 'Start Page', 'End Page', 'DOI', 'Book DOI', 'Publication Date', 'Times Cited', 'ISSN', 'eISSN', 'Author Full Names', 'Book Author Full Names', 'Language', 'Author Keywords', 'Keywords', 'Funding Orgs', 'Funding Text', 'Cited References', 'DOI Link', 'Number of Pages', 'Categories', 'Research Areas', 'bert_preds', 'setfit_preds', 'knn_preds', 'abstract_hash'. The dataset is provided in different formats. To address potential copyright, licensing, and data privacy concerns, we have replaced the original abstracts with SHA-256 hashes, cryptographic representations of the abstracts' content. Please note that the copyright and licensing status of the original articles may vary, and users should respect any applicable terms and restrictions associated with the source publications.

  14. r

    International Journal of Scientific Research and Engineering Development -...

    • researchhelpdesk.org
    Updated Feb 23, 2022
    + more versions
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    Research Help Desk (2022). International Journal of Scientific Research and Engineering Development - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/134/international-journal-of-scientific-research-and-engineering-development
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    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    International Journal of Scientific Research and Engineering Development - ResearchHelpDesk - The basic aim of "International Journal of Scientific Research and Engineering Development" journal is to provide platform for the researcher, innovators, scholars and students to share their research through worldwide with us. We promote research in all disciplines and the advancement of knowledge and understanding. This journal will provide a quality readable and valuable addition to the knowledge this will serve as resources for researchers along with to provide support to the scholars to enable them to undertake and disseminate their research and to help them for development of their own skills of reasoning and understanding. It is a peer-reviewed journal aspiring to publish high quality of original Research Articles, Review Articles, Survey Articles, Case Study, Technical Notes and Short Communication. The preference will be given to the research articles and articles which contains advance research concepts which will be helpful to the society. Scope : IJSRED which is cross boundaries between different faculties. IJSRED is the place for exchange of information and research results within the following scope: (But are not limited to the following topics). All Engineering Science Discipline, Computer Science, Mathematics, Management Studies, Physics, Chemistry, Biotechnology."

  15. r

    IETE journal of research Abstract & Indexing - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Apr 19, 2022
    + more versions
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    Research Help Desk (2022). IETE journal of research Abstract & Indexing - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/abstract-and-indexing/541/iete-journal-of-research
    Explore at:
    Dataset updated
    Apr 19, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    IETE journal of research Abstract & Indexing - ResearchHelpDesk - IETE Journal of Research is a bimonthly journal published by the Institution of Electronics and Telecommunication Engineers (IETE), India. It publishes scientific and technical papers describing original research work or novel product/process development. Occasionally special issues are brought out on new and emerging research areas. This journal is useful to researchers, engineers, scientists, teachers, managers, and students who are interested in keeping track of original research and development work being carried out in the broad area of electronics, telecommunications, computer science, and engineering and information technology. Subjects covered by this journal are: Communications: Digital and analog communication, Digital signal processing, Image processing, Satellite communication, Secure communication, Speech and audio processing, Space communication, Vehicular communications, Wireless communication. Computers and Computing: Algorithms, Artificial intelligence, Computer graphics, Compiler programming and languages, Computer vision, Data mining, High-performance computing, Information technology, Internet computing, Multimedia, Networks, Network Security, Operating systems, Quantum learning systems, Pattern Recognition, Sensor networks, Soft computing. Control Engineering: Control theory and practice- Conventional control, Non-linear control, Adaptive control, Robust Control, Reinforcement learning control, Soft computing tools in control application- Fuzzy logic systems, Neural Networks, Support vector machines, Intelligent control. Electromagnetics: Antennas and arrays, Bio-electromagnetics, Computational electromagnetics, Electromagnetic interference, Electromagnetic compatibility, Metamaterials, Millimeter-wave and Terahertz circuits and systems, Microwave measurements, Microwave Photonics, Passive, active and tunable microwave circuits, Propagation studies, Radar and remote sensing, Radio wave propagation and scattering, RFID, RF MEMS, Solid-state microwave devices and tubes, UWB circuits and systems. Electronic Circuits, Devices, and Components: Analog and Digital circuits, Display Technology, Embedded Systems VLSI Design, Microelectronics technology and device characterization, MEMS, Nano-electronics, Nanotechnology, Physics and technology of CMOS devices, Sensors, Semiconductor device modeling, Space electronics, Solid state devices, and modeling. Instrumentation and Measurements: Automated instruments and measurement techniques, Industrial Electronics, Non-destructive characterization and testing, Sensors. Medical Electronics: Bio-informatics, Biomedical electronics, Bio-MEMS, Medical Instrumentation. Opto-Electronics: Fibre optics, Holography and optical data storage, Optical sensors Quantum Electronics, Quantum optics. Power Electronics: AC-DC/DC-DC/DC-AC/AC-AC converters, Battery chargers, Custom power devices, Distributed power generation, Electric vehicles, Electrochemical processes, Electronic blast, Flexible AC transmission systems, Heating/welding, Hybrid vehicles, HVDC transmission, Power quality, Renewal energy generation, Switched-mode power supply, Solid-state control of motor drives. The IETE Journal of Research is indexed in: British Library CLOCKSS CrossRef EBSCO - Applied Science & Technology Source EBSCO - Academic Search Complete EBSCO - STM Source EI Compendex/ Engineering Village (Elsevier) Google Scholar Microsoft Academic Portico ProQuest - ProQuest Central ProQuest - Research Library ProQuest - SciTech Premium Collection ProQuest - Technology Collection Science Citation Index Expanded (Thomson Reuters) SCImago (Elsevier) Scopus (Elsevier) Ulrich's Periodicals Directory Web of Science (Thomson Reuters) WorldCat Local (OCLC) Zetoc RG Journal Impact: 0.59 * *This value is calculated using ResearchGate data and is based on average citation counts from work published in this journal. The data used in the calculation may not be exhaustive. RG Journal impact history 2020 Available summer 2021 2018 / 2019 0.59 2017 0.39 2016 0.33 2015 0.49 2014 0.49 2013 0.41 2012 0.61 2011 0.90 2010 0.43 2009 0.22 2008 0.19 2007 0.23 2006 0.09 2005 0.11 2004 0.23 2003 0.38 IETE Journal of Research more details H Index - 20 Subject Area and Category: Computer Science, Computer Science Applications, Engineering, Electrical, and Electronic Engineering, Mathematics, Theoretical Computer Science Publisher: Taylor & Francis Publication Type: Journals Coverage : 1979-1989, 1993-ongoing

  16. Data Journals A Survey - Tables

    • commons.datacite.org
    • data.4tu.nl
    • +1more
    Updated Dec 2, 2015
    + more versions
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    Leonardo Candela; Donatella Castelli; Paolo Manghi; Alice Tani (2015). Data Journals A Survey - Tables [Dataset]. http://doi.org/10.6084/m9.figshare.1057970
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    Dataset updated
    Dec 2, 2015
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    DataCitehttps://www.datacite.org/
    Authors
    Leonardo Candela; Donatella Castelli; Paolo Manghi; Alice Tani
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset groups all the tables supplementing the contents of the article "Data Journals: A Survey", which is going to be published by the Journal of the Association for Information Science and Technology (JASIST). Tables are published with no header. Any details can be found in the article.
    Abstract Data occupy a key role in our information society. However, although the amount of published data continues to grow and terms like “data deluge” and “big data” today characterize numerous (research) initiatives, a lot of work is still needed in the direction of publishing data in order to make them effectively discoverable, available, and reusable by others. Several barriers hinder data publishing, from lack of attribution and rewards, vague citation practices, quality issues, to a rather general lack of data sharing culture. Lately, data journals came forward as a solution to overcome some of these barriers. In this study of more than 100 currently existing data journals, we describe the approaches they promote for description, availability, citation, quality and open access or datasets. We close by identifying ways to expand and strengthen the data journals approach as a means to actually promote datasets access and exploitation.

  17. f

    fdata-02-00041_ScholarCitation: Chinese Scholar Citation Analysis Based on...

    • frontiersin.figshare.com
    bin
    Updated Jun 9, 2023
    + more versions
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    Hanting Su; Zhuoya Fan; Chen Cao; Yi Zhang; Shuo Wang; Xiaofeng Meng (2023). fdata-02-00041_ScholarCitation: Chinese Scholar Citation Analysis Based on ScholarSpace in the Field of Computer Science.xml [Dataset]. http://doi.org/10.3389/fdata.2019.00041.s002
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    binAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    Frontiers
    Authors
    Hanting Su; Zhuoya Fan; Chen Cao; Yi Zhang; Shuo Wang; Xiaofeng Meng
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Citation analysis is one of the most commonly used methods in academic assessments. Up to now, most of academic assessments are based on English literature, ignoring the fact that the role of Chinese papers in academic assessments has become increasingly indispensable. Therefore, to give full play to the role of Chinese literature in academic assessments is an urgent task of current academic circle. Based on Chinese academic data from ScholarSpace, i.e., 82826 Chinese computer science journal papers, we conduct a comprehensive assessment of academic influence from the perspectives of fields, journals and institutions, in order to achieve a better understanding of the development of Chinese computer literature in the past 60 years. We find that Chinese scholars tend to cite papers in English, discover evolution trend of fields, journals and institutions, and call on journals, institutions, and scholars to strengthen their cooperation.

  18. r

    International Journal of Engineering and Advanced Technology -...

    • researchhelpdesk.org
    Updated Feb 23, 2022
    + more versions
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    Research Help Desk (2022). International Journal of Engineering and Advanced Technology - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/552/international-journal-of-engineering-and-advanced-technology
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    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    International Journal of Engineering and Advanced Technology - ResearchHelpDesk - International Journal of Engineering and Advanced Technology (IJEAT) is having Online-ISSN 2249-8958, bi-monthly international journal, being published in the months of February, April, June, August, October, and December by Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP) Bhopal (M.P.), India since the year 2011. It is academic, online, open access, double-blind, peer-reviewed international journal. It aims to publish original, theoretical and practical advances in Computer Science & Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. All submitted papers will be reviewed by the board of committee of IJEAT. Aim of IJEAT Journal disseminate original, scientific, theoretical or applied research in the field of Engineering and allied fields. dispense a platform for publishing results and research with a strong empirical component. aqueduct the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research. seek original and unpublished research papers based on theoretical or experimental works for the publication globally. publish original, theoretical and practical advances in Computer Science & Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. impart a platform for publishing results and research with a strong empirical component. create a bridge for a significant gap between research and practice by promoting the publication of original, novel, industry-relevant research. solicit original and unpublished research papers, based on theoretical or experimental works. Scope of IJEAT International Journal of Engineering and Advanced Technology (IJEAT) covers all topics of all engineering branches. Some of them are Computer Science & Engineering, Information Technology, Electronics & Communication, Electrical and Electronics, Electronics and Telecommunication, Civil Engineering, Mechanical Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. The main topic includes but not limited to: 1. Smart Computing and Information Processing Signal and Speech Processing Image Processing and Pattern Recognition WSN Artificial Intelligence and machine learning Data mining and warehousing Data Analytics Deep learning Bioinformatics High Performance computing Advanced Computer networking Cloud Computing IoT Parallel Computing on GPU Human Computer Interactions 2. Recent Trends in Microelectronics and VLSI Design Process & Device Technologies Low-power design Nanometer-scale integrated circuits Application specific ICs (ASICs) FPGAs Nanotechnology Nano electronics and Quantum Computing 3. Challenges of Industry and their Solutions, Communications Advanced Manufacturing Technologies Artificial Intelligence Autonomous Robots Augmented Reality Big Data Analytics and Business Intelligence Cyber Physical Systems (CPS) Digital Clone or Simulation Industrial Internet of Things (IIoT) Manufacturing IOT Plant Cyber security Smart Solutions – Wearable Sensors and Smart Glasses System Integration Small Batch Manufacturing Visual Analytics Virtual Reality 3D Printing 4. Internet of Things (IoT) Internet of Things (IoT) & IoE & Edge Computing Distributed Mobile Applications Utilizing IoT Security, Privacy and Trust in IoT & IoE Standards for IoT Applications Ubiquitous Computing Block Chain-enabled IoT Device and Data Security and Privacy Application of WSN in IoT Cloud Resources Utilization in IoT Wireless Access Technologies for IoT Mobile Applications and Services for IoT Machine/ Deep Learning with IoT & IoE Smart Sensors and Internet of Things for Smart City Logic, Functional programming and Microcontrollers for IoT Sensor Networks, Actuators for Internet of Things Data Visualization using IoT IoT Application and Communication Protocol Big Data Analytics for Social Networking using IoT IoT Applications for Smart Cities Emulation and Simulation Methodologies for IoT IoT Applied for Digital Contents 5. Microwaves and Photonics Microwave filter Micro Strip antenna Microwave Link design Microwave oscillator Frequency selective surface Microwave Antenna Microwave Photonics Radio over fiber Optical communication Optical oscillator Optical Link design Optical phase lock loop Optical devices 6. Computation Intelligence and Analytics Soft Computing Advance Ubiquitous Computing Parallel Computing Distributed Computing Machine Learning Information Retrieval Expert Systems Data Mining Text Mining Data Warehousing Predictive Analysis Data Management Big Data Analytics Big Data Security 7. Energy Harvesting and Wireless Power Transmission Energy harvesting and transfer for wireless sensor networks Economics of energy harvesting communications Waveform optimization for wireless power transfer RF Energy Harvesting Wireless Power Transmission Microstrip Antenna design and application Wearable Textile Antenna Luminescence Rectenna 8. Advance Concept of Networking and Database Computer Network Mobile Adhoc Network Image Security Application Artificial Intelligence and machine learning in the Field of Network and Database Data Analytic High performance computing Pattern Recognition 9. Machine Learning (ML) and Knowledge Mining (KM) Regression and prediction Problem solving and planning Clustering Classification Neural information processing Vision and speech perception Heterogeneous and streaming data Natural language processing Probabilistic Models and Methods Reasoning and inference Marketing and social sciences Data mining Knowledge Discovery Web mining Information retrieval Design and diagnosis Game playing Streaming data Music Modelling and Analysis Robotics and control Multi-agent systems Bioinformatics Social sciences Industrial, financial and scientific applications of all kind 10. Advanced Computer networking Computational Intelligence Data Management, Exploration, and Mining Robotics Artificial Intelligence and Machine Learning Computer Architecture and VLSI Computer Graphics, Simulation, and Modelling Digital System and Logic Design Natural Language Processing and Machine Translation Parallel and Distributed Algorithms Pattern Recognition and Analysis Systems and Software Engineering Nature Inspired Computing Signal and Image Processing Reconfigurable Computing Cloud, Cluster, Grid and P2P Computing Biomedical Computing Advanced Bioinformatics Green Computing Mobile Computing Nano Ubiquitous Computing Context Awareness and Personalization, Autonomic and Trusted Computing Cryptography and Applied Mathematics Security, Trust and Privacy Digital Rights Management Networked-Driven Multicourse Chips Internet Computing Agricultural Informatics and Communication Community Information Systems Computational Economics, Digital Photogrammetric Remote Sensing, GIS and GPS Disaster Management e-governance, e-Commerce, e-business, e-Learning Forest Genomics and Informatics Healthcare Informatics Information Ecology and Knowledge Management Irrigation Informatics Neuro-Informatics Open Source: Challenges and opportunities Web-Based Learning: Innovation and Challenges Soft computing Signal and Speech Processing Natural Language Processing 11. Communications Microstrip Antenna Microwave Radar and Satellite Smart Antenna MIMO Antenna Wireless Communication RFID Network and Applications 5G Communication 6G Communication 12. Algorithms and Complexity Sequential, Parallel And Distributed Algorithms And Data Structures Approximation And Randomized Algorithms Graph Algorithms And Graph Drawing On-Line And Streaming Algorithms Analysis Of Algorithms And Computational Complexity Algorithm Engineering Web Algorithms Exact And Parameterized Computation Algorithmic Game Theory Computational Biology Foundations Of Communication Networks Computational Geometry Discrete Optimization 13. Software Engineering and Knowledge Engineering Software Engineering Methodologies Agent-based software engineering Artificial intelligence approaches to software engineering Component-based software engineering Embedded and ubiquitous software engineering Aspect-based software engineering Empirical software engineering Search-Based Software engineering Automated software design and synthesis Computer-supported cooperative work Automated software specification Reverse engineering Software Engineering Techniques and Production Perspectives Requirements engineering Software analysis, design and modelling Software maintenance and evolution Software engineering tools and environments Software engineering decision support Software design patterns Software product lines Process and workflow management Reflection and metadata approaches Program understanding and system maintenance Software domain modelling and analysis Software economics Multimedia and hypermedia software engineering Software engineering case study and experience reports Enterprise software, middleware, and tools Artificial intelligent methods, models, techniques Artificial life and societies Swarm intelligence Smart Spaces Autonomic computing and agent-based systems Autonomic computing Adaptive Systems Agent architectures, ontologies, languages and protocols Multi-agent systems Agent-based learning and knowledge discovery Interface agents Agent-based auctions and marketplaces Secure mobile and multi-agent systems Mobile agents SOA and Service-Oriented Systems Service-centric software engineering Service oriented requirements engineering Service oriented architectures Middleware for service based systems Service discovery and composition Service level agreements (drafting,

  19. d

    Computing integrated activities scored for programming concepts

    • search.dataone.org
    • data.niaid.nih.gov
    • +2more
    Updated Jun 20, 2024
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    Lauren Margulieux; Miranda Parker; Gozde Cetin Uzun (2024). Computing integrated activities scored for programming concepts [Dataset]. http://doi.org/10.5061/dryad.k0p2ngfgj
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Dryad Digital Repository
    Authors
    Lauren Margulieux; Miranda Parker; Gozde Cetin Uzun
    Description

    Educators across disciplines are implementing lessons and activities that integrate computing concepts into their curriculum to broaden participation in computing. Out of myriad important introductory computing skills, it is unknown which—and to what extent—these concepts are included in these integrated experiences, especially when compared to concepts commonly taught in introductory computer science courses. Thus, it is unclear how integrated computing activities serve the goal of broadening participation in computing. To address this deficit, we compiled a database of 81 integrated computing activities, constructed a framework of fundamental programming concepts, and scored each activity in the database for the presence of each concept. The dataset also includes different activity features, including discipline, programming language, student age, and duration of activity. , Selection Criteria: Features and Limitations Non-CS Disciplinary Learning Objectives The first selection criterion for activities to include in the analysis was the inclusion of learning objectives in a discipline other than computing. No restrictions were placed on which other disciplines qualified, and we found activities from language arts, math, science, art, music, foreign language, history, social studies, and even spatial skill development for young children. One indirect benefit of requiring non-computing disciplinary learning objectives was that many included activities have substantive lesson plans. These lesson plans make the activities more accessible to teachers by including TPACK-related information, such as disciplinary learning objectives for the activity. As a result, the authors recognize the limitations of requiring non-computing learning objectives but also that it provides a level of authenticity and accessibility for the included activities. One of the major source..., , # Computing integrated activities scored for programming concepts

    https://doi.org/10.5061/dryad.k0p2ngfgj

    Associated journal article: Margulieux, L. E., Parker, M. C., Uzun, G. C., & Cohen, J. D. (2023). Levels of computing concepts used in computing integration activities across disciplines. Journal of Technology and Teacher Education, 31(2), 167-202. Waynesville, NC USA: Society for Information Technology & Teacher Education. https://www.learntechlib.org/p/221815/

    Please contact Lauren Margulieux, lmargulieux@gsu.edu, for additional information about this dataset.

    The listed computing integrated activities were scored for which programming concepts they included. A blank cell means the activity did not include the concept, and a 1 means it did. Activities were scored binarily, either they included the concept or not. The number of times the concept is used within an activity was not ...

  20. A Shortlist of Diamond Open Access Journals for the Faculty of Science at...

    • zenodo.org
    • explore.openaire.eu
    • +1more
    bin, csv, pdf
    Updated Jul 11, 2024
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    Maria E. Constantin; Maria E. Constantin; Chiara Livio; Chiara Livio (2024). A Shortlist of Diamond Open Access Journals for the Faculty of Science at Utrecht University [Dataset]. http://doi.org/10.5281/zenodo.8272176
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    bin, pdf, csvAvailable download formats
    Dataset updated
    Jul 11, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Maria E. Constantin; Maria E. Constantin; Chiara Livio; Chiara Livio
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Context

    The following shortlist of diamond open-access journals was compiled to increase awareness of alternative scholarly publication models among the six departments of the Faculty of Science at Utrecht University. The list is relevant to the six disciplines at the Faculty of Science: Biology, Chemistry, Mathematics, Information and Computing Sciences, Physics, and Pharmaceutical Sciences. For this purpose, a "diamond journal" is defined as a journal indexed in the Directory of Open Access Journals (DOAJ) that does not charge an article processing charge (APC).

    Contents and Results

    The Excel file titled “Diamond_journals_faculty_of_science_UU” contains the list of selected diamond journals based on the following criteria: they allow submissions in English, have a plagiarism screening policy, possess an electronic ISSN number, and accept submissions in Biology, Chemistry, Mathematics, Information and Computing Sciences, Physics, and Pharmaceutical Sciences. In this shortlist, 355 journals meet the criteria. Out of these 355 journals, only 29 have received a DOAJ seal, 150 journals are indexed in Scopus, and 94 journals are indexed in Web of Science.

    A detailed description of the methods employed to obtain this shortlist can be found in the Word file titled "Methods_and_Results".

    The raw CSV data has been included under the name "Raw_DOAJ_journal_metadata_2023_07_25".

    Limitations

    The compilers of this shortlist are aware that some current diamond journals could change their status to non-diamond by charging article processing fees at a later stage. Since the journal record is not always updated by the publishers, we strongly recommend the users double-check the latest open access status directly on the journal's homepage (journal URLs are provided in the Excel file). The same applies for Scopus and WOS indexations.

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Research Help Desk (2023). Journal of theoretical and applied computer science Abstract & Indexing - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/abstract-and-indexing/351/journal-of-theoretical-and-applied-computer-science

Journal of theoretical and applied computer science Abstract & Indexing - ResearchHelpDesk

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Dataset updated
Feb 16, 2023
Dataset authored and provided by
Research Help Desk
Description

Journal of theoretical and applied computer science Abstract & Indexing - ResearchHelpDesk - Journal of Theoretical and Applied Computer Science is published by the Computer Science Commision, operating within the Gdansk Branch of Polish Academy of Sciences and located in Szczecin, Poland. JTACS is an open access journal, publishing original research and review papers from the variety of subdiscplines connected to theoretical and applied computer science, including the following: Artificial intelligence Computer modelling and simulation Data analysis and classification Pattern recognition Computer graphics and image processing Information systems engineering Software engineering Computer systems architecture Distributed and parallel processing Computer systems security Web technologies Bioinformatics Abstract and indexing Doaj (Dicretroy of open access journals) Index copurnicus Baztech Google scholar

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