100+ datasets found
  1. s

    Web of Science

    • scicrunch.org
    • neuinfo.org
    • +1more
    Updated Jan 21, 2025
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    (2025). Web of Science [Dataset]. http://identifiers.org/RRID:SCR_022706
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    Dataset updated
    Jan 21, 2025
    Description

    Database of bibliographic citations of multidisciplinary areas that covers various journals of medical, scientific, and social sciences including humanities.Publisher independent global citation database.

  2. Z

    An analysis of the current overlay journals

    • data.niaid.nih.gov
    • zenodo.org
    Updated Oct 18, 2022
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    Rousi, Antti M. (2022). An analysis of the current overlay journals [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6420517
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    Dataset updated
    Oct 18, 2022
    Dataset provided by
    Laakso, Mikael
    Rousi, Antti M.
    License

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

    Description

    Research data to accommodate the article "Overlay journals: a study of the current landscape" (https://doi.org/10.1177/09610006221125208)

    Identifying the sample of overlay journals was an explorative process (occurring during April 2021 to February 2022). The sample of investigated overlay journals were identified by using the websites of Episciences.org (2021), Scholastica (2021), Free Journal Network (2021), Open Journals (2021), PubPub (2022), and Wikipedia (2021). In total, this study identified 34 overlay journals. Please see the paper for more details about the excluded journal types.

    The journal ISSN numbers, manuscript source repositories, first overlay volumes, article volumes, publication languages, peer-review type, licence for published articles, author costs, publisher types, submission policy, and preprint availability policy were observed by inspecting journal editorial policies and submission guidelines found from journal websites. The overlay journals’ ISSN numbers were identified by examining journal websites and cross-checking this information with the Ulrich’s periodicals database (Ulrichsweb, 2021). Journals that published review reports, either with reviewers’ names or anonymously, were classified as operating with open peer-review. Publisher types defined by Laakso and Björk (2013) were used to categorise the findings concerning the publishers. If the journal website did not include publisher information, the editorial board was interpreted to publish the journal.

    The Organisation for Economic Co-operation and Development (OECD) field of science classification was used to categorise the journals into different domains of science. The journals’ primary OECD field of sciences were defined by the authors through examining the journal websites.

    Whether the journals were indexed in the Directory of Open Access Journals (DOAJ), Scopus, or Clarivate Analytics’ Web of Science Core collection’s journal master list was examined by searching the services with journal ISSN numbers and journal titles.

    The identified overlay journals were examined from the viewpoint of both qualitative and quantitative journal metrics. The qualitative metrics comprised the Nordic expert panel rankings of scientific journals, namely the Finnish Publication Forum, the Danish Bibliometric Research Indicator and the Norwegian Register for Scientific Journals, Series and Publishers. Searches were conducted from the web portals of the above services with both ISSN numbers and journal titles. Clarivate Analytics’ Journal Citation Reports database was searched with the use of both ISSN numbers and journal titles to identify whether the journals had a Journal Citation Indicator (JCI), Two-Year Impact Factor (IF) and an Impact Factor ranking (IF rank). The examined Journal Impact Factors and Impact Factor rankings were for the year 2020 (as released in 2021).

  3. s

    Scimago Journal Rankings

    • scimagojr.com
    • vnufulimi.com
    • +9more
    csv
    Updated Jun 26, 2017
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    Scimago Lab (2017). Scimago Journal Rankings [Dataset]. https://www.scimagojr.com/journalrank.php
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    csvAvailable download formats
    Dataset updated
    Jun 26, 2017
    Dataset authored and provided by
    Scimago Lab
    Description

    Academic journals indicators developed from the information contained in the Scopus database (Elsevier B.V.). These indicators can be used to assess and analyze scientific domains.

  4. m

    Ulrich, Web of Science and Scopus Global Journal Coverage Data:...

    • data.mendeley.com
    Updated Apr 17, 2023
    + more versions
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    Toluwase Asubiaro (2023). Ulrich, Web of Science and Scopus Global Journal Coverage Data: Classification by Regions [Dataset]. http://doi.org/10.17632/cvx3f5bk4p.2
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    Dataset updated
    Apr 17, 2023
    Authors
    Toluwase Asubiaro
    License

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

    Description

    Introduction: These datasets contain information about journals in the eight regions of the world based on United Nations SDG classification (Central& Southern Asia, Europe, Eastern &South Eastern Asia, Latin America, North Africa& Western Asia, Oceania, North America and Sub-Saharan Africa) that are indexed in Web of Science/Scopus and are available in Ulrich periodical directory. The datasets were created by matching Ulrich journal information with journal information from Web of Science and Scopus.

    Data Creation: A single Web of Science master journal list was created for SSCI, SCI, AHCI and ESCI by combining and removing duplicate records from their lists; the Web of Science master journal contained 21,908 unique journals. Only active scholarly journals from Scopus were included in this study; i.e. duplicates, all inactive sources, trade journals, book series, monographs and conference proceedings were removed. 26,029 active journals of the 43,013 sources in Scopus were included. Journal lists from 239 countries were collected from Ulrich comprehensive periodical directory and analyzed by region. After removal of duplicates, this generated a database of 83,429 unique active academic journals. To compile regional and global datasets, duplicate journals in the regional and global levels, respectively, were removed. The master journal lists created from Web of Science, Scopus and Ulrich were transferred to an SQL database for querying. Journal matching was carried out in two steps. Firstly, the ISSN numbers of journals in Web of Science and Scopus were used to match journal records to Ulrich. In the second step, the remaining journals were then matched using their titles, and these matches were manually verified to reduce the chances of false positives. Using these two steps, we were able to match 20,255 (92.46%) of the journals in Web of Science, and 23,349 (89.70%) of the academic journals from Scopus, with Ulrichsweb journal list.

  5. Data articles in journals

    • zenodo.org
    • data.niaid.nih.gov
    bin, csv, txt
    Updated Sep 22, 2023
    + more versions
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    Carlota Balsa-Sanchez; Carlota Balsa-Sanchez; Vanesa Loureiro; Vanesa Loureiro (2023). Data articles in journals [Dataset]. http://doi.org/10.5281/zenodo.8367960
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    bin, csv, txtAvailable download formats
    Dataset updated
    Sep 22, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Carlota Balsa-Sanchez; Carlota Balsa-Sanchez; Vanesa Loureiro; Vanesa Loureiro
    License

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

    Description

    Version: 5

    Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

    Date of data collection: 2023/09/05

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
    File list:

    - data_articles_journal_list_v5.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
    - data_articles_journal_list_v5.csv: full list of 140 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 5th version
    - Information updated: number of journals, URL, document types associated to a specific journal.

    Version: 4

    Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

    Date of data collection: 2022/12/15

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
    File list:

    - data_articles_journal_list_v4.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
    - data_articles_journal_list_v4.csv: full list of 140 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 4th version
    - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
    - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR), Scopus and Web of Science (WOS), Journal Master List.

    Version: 3

    Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

    Date of data collection: 2022/10/28

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
    File list:

    - data_articles_journal_list_v3.xlsx: full list of 124 academic journals in which data papers or/and software papers could be published
    - data_articles_journal_list_3.csv: full list of 124 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 3rd version
    - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
    - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR).

    Erratum - Data articles in journals Version 3:

    Botanical Studies -- ISSN 1999-3110 -- JCR (JIF) Q2
    Data -- ISSN 2306-5729 -- JCR (JIF) n/a
    Data in Brief -- ISSN 2352-3409 -- JCR (JIF) n/a

    Version: 2

    Author: Francisco Rubio, Universitat Politècnia de València.

    Date of data collection: 2020/06/23

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
    File list:

    - data_articles_journal_list_v2.xlsx: full list of 56 academic journals in which data papers or/and software papers could be published
    - data_articles_journal_list_v2.csv: full list of 56 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 2nd version
    - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
    - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Scimago Journal and Country Rank (SJR)

    Total size: 32 KB

    Version 1: Description

    This dataset contains a list of journals that publish data articles, code, software articles and database articles.

    The search strategy in DOAJ and Ulrichsweb was the search for the word data in the title of the journals.
    Acknowledgements:
    Xaquín Lores Torres for his invaluable help in preparing this dataset.

  6. Open Access Articles in Web of Science

    • figshare.com
    txt
    Updated Jan 18, 2016
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    James Hardcastle (2016). Open Access Articles in Web of Science [Dataset]. http://doi.org/10.6084/m9.figshare.918611.v1
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    txtAvailable download formats
    Dataset updated
    Jan 18, 2016
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    James Hardcastle
    License

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

    Description

    Total number of articles and reviews by year indexed in Web of Science and number of articles and reviews in journals flagged as Open Access in Web of Science

    This only includes articles publishing in full OA journals, so will not include green OA articles nor open access articles published in hybrid journals

  7. r

    International Journal for Modern Trends in Science and Technology FAQ -...

    • researchhelpdesk.org
    Updated May 25, 2022
    + more versions
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    Research Help Desk (2022). International Journal for Modern Trends in Science and Technology FAQ - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/faq/133/international-journal-for-modern-trends-in-science-and-technology
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    Dataset updated
    May 25, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    International Journal for Modern Trends in Science and Technology FAQ - ResearchHelpDesk - International Journal for Modern Trends in Science and Technology (IJMTST) is an ISO 9001:2008 Certified International peer reviewed, online journal Published monthly by Engineering and Science Research Publication. IJMTST represents the new standard in scholarly Publishing: a liberal open access policy, fast and high quality peer review that brings Publishing to the doorstep of every research and student. IJMTST would take much care in making your research paper published without much delay with your kind cooperation. Our journal aims to bring out the research talent and the works done by scientists, academia, engineers, practitioners, scholars, post graduate students of Engineering and Science. This journal aims to undertaking and promoting the scientific research in a broader sense. This journal welcomes the submission of your research papers that meet the general criteria of significance and scientific excellence in the field of Engineering, Science and Technology. IJMTST has a primary aim to publish research being conducted and carried out in the field of Engineering, Science and Technology as a whole. Submitted articles will be reviewed by technical committee members of the journal. All submitted papers should report original, previously unpublished and will be peer reviewed. Papers for the regular issues of the journal can be submitted, round the year, based upon the detailed review process, the paper will immediately be published online. However, assignment of the paper to an specific Volume / Issue (see archive) of the Journal will be taken up by the Editorial Board later; and the author will be intimated accordingly. For Theme Based Special Issues, time bound Special Call for Papers will be announced and the same will be applicable for that specific issue only.

  8. H

    Number of scientific publications (peer-reviewed articles) published in...

    • dataverse.harvard.edu
    Updated Aug 15, 2018
    + more versions
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    Marie Rosenlund Nielsen; Martin Drews (2018). Number of scientific publications (peer-reviewed articles) published in academic journals [Dataset]. http://doi.org/10.7910/DVN/LCBMOH
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 15, 2018
    Dataset provided by
    Harvard Dataverse
    Authors
    Marie Rosenlund Nielsen; Martin Drews
    License

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

    Description

    These indicators monitor scientific outcomes in the form of publications along innovation areas. The insights contained in them may help the understanding of societal challenges, contribute to the emergence of future technological or social innovations, or help to improve enabling conditions. We present the number of scientific peer-reviewed publications in the Web of Science database. Publications represent research activity in specific countries, which in turn makes entrepreneurial activities and investment more likely. Similar publication and investment patterns hint at the presence of learning networks between firms and universities. As we only track English-language publications in Web of Science indexed journals, some increases in publications may be due to the increased pressure to publish in such journals rather than to an actual increase in the productivity of a country’s researchers in the respective field. Countries that put a higher emphasis on publications in their native language may underperform according to these metrics. English-speaking countries or those where English is more dominant are likely to perform better with this metric.

  9. r

    Journal of Political Economy Acceptance Rate - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 15, 2022
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    Research Help Desk (2022). Journal of Political Economy Acceptance Rate - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/acceptance-rate/602/journal-of-political-economy
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    Dataset updated
    Feb 15, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Journal of Political Economy Acceptance Rate - ResearchHelpDesk - The Journal of Political Economy is a monthly peer-reviewed academic journal published by the University of Chicago Press. Established by James Laurence Laughlin in 1892, it covers both theoretical and empirical economics. In the past, the journal published quarterly from its introduction through 1905, ten issues per volume from 1906 through 1921, and bimonthly from 1922 through 2019. The editor-in-chief is Magne Mogstad (University of Chicago). Abstract & Indexing Articles that appear in the Journal of Political Economy are indexed in the following abstracting and indexing services: Ulrich's Periodicals Directory (Print) Ulrichsweb (Online) J-Gate HINARI Association for Asian Studies Bibliography of Asian Studies (Online) Business Index CABI Abstracts on Hygiene and Communicable Diseases (Online) Agricultural Economics Database CAB Abstracts (Commonwealth Agricultural Bureaux) Dairy Science Abstracts (Online) Environmental Impact Global Health Leisure Tourism Database Nutrition and Food Sciences Database Rural Development Abstracts (Online) Soil Science Database Soils and Fertilizers (Online) Tropical Diseases Bulletin (Online) World Agricultural Economics and Rural Sociology Abstracts (Online) Clarivate Analytics Current Contents Social Sciences Citation Index Web of Science De Gruyter Saur Dietrich's Index Philosophicus IBZ - Internationale Bibliographie der Geistes- und Sozialwissenschaftlichen Zeitschriftenliteratur Internationale Bibliographie der Rezensionen Geistes- und Sozialwissenschaftlicher Literatur EBSCOhost America: History and Life ATLA Religion Database (American Theological Library Association) Biography Index: Past and Present (H.W. Wilson) Book Review Digest Plus (H.W. Wilson) Business Source Alumni Edition (Full Text) Business Source Complete (Full Text) Business Source Corporate (Full Text) Business Source Corporate Plus (Full Text) Business Source Elite (Full Text) Business Source Premier (Full Text) Business Source Ultimate (Full Text) Current Abstracts EBSCO MegaFILE (Full Text) EBSCO Periodicals Collection (Full Text) EconLit with Full Text (Full Text) ERIC (Education Resources Information Center) GeoRef Historical Abstracts (Online) Humanities & Social Sciences Index Retrospective: 1907-1984 (H.W. Wilson) Humanities Index Retrospective: 1907-1984 (H.W. Wilson) Humanities Source Humanities Source Ultimate Index to Legal Periodicals Retrospective: 1908-1981 (H.W. Wilson) Legal Source Library & Information Science Source MLA International Bibliography (Modern Language Association) OmniFile Full Text Mega (H.W. Wilson) Poetry & Short Story Reference Center Political Science Complete Public Affairs Index Readers' Guide Retrospective: 1890-1982 (H.W. Wilson) Russian Academy of Sciences Bibliographies Social Sciences Abstracts Social Sciences Full Text (H.W. Wilson) Social Sciences Index Retrospective: 1907-1983 (H.W. Wilson) SocINDEX SocINDEX with Full Text TOC Premier Women's Studies International Elsevier BV GEOBASE Scopus ERIC (Education Resources Information Center) ERIC (Education Resources Information Center) Gale Academic ASAP Academic OneFile Advanced Placement Government and Social Studies Book Review Index Plus Business & Company ProFile ASAP Business ASAP Business ASAP International Business Collection Business Insights: Essentials Business Insights: Global Business, Economics and Theory Collection Expanded Academic ASAP General Business File ASAP General OneFile General Reference Center Gold General Reference Centre International InfoTrac Custom InfoTrac Student Edition MLA International Bibliography (Modern Language Association) Popular Magazines US History Collection H.W. Wilson Social Sciences Index National Library of Medicine PubMed OCLC ArticleFirst Periodical Abstracts Sociological Abstracts (Online), Selective Ovid EconLit ERIC (Education Resources Information Center) GeoRef ProQuest ABI/INFORM Collection ABI/INFORM Global (American Business Information) ABI/INFORM Research (American Business Information) Business Premium Collection EconLit ERIC (Education Resources Information Center) GeoRef Health Management Database Health Research Premium Collection Hospital Premium Collection International Bibliography of the Social Sciences, Core MLA International Bibliography (Modern Language Association) PAIS Archive Professional ABI/INFORM Complete Professional ProQuest Central ProQuest 5000 ProQuest 5000 International ProQuest Central ProQuest Pharma Collection Research Library Social Science Database Social Science Premium Collection Sociological Abstracts (Online), Selective Worldwide Political Science Abstracts, Selective SCIMP (Selective Cooperative Index of Management Periodicals) Taylor & Francis Educational Research Abstracts Online Wiley-Blackwell Publishing Asia Asian - Pacific Economic Literature (Online)

  10. Map of articles about "Teaching Open Science"

    • zenodo.org
    • data.niaid.nih.gov
    Updated Jan 24, 2020
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    Isabel Steinhardt; Isabel Steinhardt (2020). Map of articles about "Teaching Open Science" [Dataset]. http://doi.org/10.5281/zenodo.3371415
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    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Isabel Steinhardt; Isabel Steinhardt
    License

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

    Description

    This description is part of the blog post "Systematic Literature Review of teaching Open Science" https://sozmethode.hypotheses.org/839

    According to my opinion, we do not pay enough attention to teaching Open Science in higher education. Therefore, I designed a seminar to teach students the practices of Open Science by doing qualitative research.About this seminar, I wrote the article ”Teaching Open Science and qualitative methods“. For the article ”Teaching Open Science and qualitative methods“, I started to review the literature on ”Teaching Open Science“. The result of my literature review is that certain aspects of Open Science are used for teaching. However, Open Science with all its aspects (Open Access, Open Data, Open Methodology, Open Science Evaluation and Open Science Tools) is not an issue in publications about teaching.

    Based on this insight, I have started a systematic literature review. I realized quickly that I need help to analyse and interpret the articles and to evaluate my preliminary findings. Especially different disciplinary cultures of teaching different aspects of Open Science are challenging, as I myself, as a social scientist, do not have enough insight to be able to interpret the results correctly. Therefore, I would like to invite you to participate in this research project!

    I am now looking for people who would like to join a collaborative process to further explore and write the systematic literature review on “Teaching Open Science“. Because I want to turn this project into a Massive Open Online Paper (MOOP). According to the 10 rules of Tennant et al (2019) on MOOPs, it is crucial to find a core group that is enthusiastic about the topic. Therefore, I am looking for people who are interested in creating the structure of the paper and writing the paper together with me. I am also looking for people who want to search for and review literature or evaluate the literature I have already found. Together with the interested persons I would then define, the rules for the project (cf. Tennant et al. 2019). So if you are interested to contribute to the further search for articles and / or to enhance the interpretation and writing of results, please get in touch. For everyone interested to contribute, the list of articles collected so far is freely accessible at Zotero: https://www.zotero.org/groups/2359061/teaching_open_science. The figure shown below provides a first overview of my ongoing work. I created the figure with the free software yEd and uploaded the file to zenodo, so everyone can download and work with it:

    To make transparent what I have done so far, I will first introduce what a systematic literature review is. Secondly, I describe the decisions I made to start with the systematic literature review. Third, I present the preliminary results.

    Systematic literature review – an Introduction

    Systematic literature reviews “are a method of mapping out areas of uncertainty, and identifying where little or no relevant research has been done.” (Petticrew/Roberts 2008: 2). Fink defines the systematic literature review as a “systemic, explicit, and reproducible method for identifying, evaluating, and synthesizing the existing body of completed and recorded work produced by researchers, scholars, and practitioners.” (Fink 2019: 6). The aim of a systematic literature reviews is to surpass the subjectivity of a researchers’ search for literature. However, there can never be an objective selection of articles. This is because the researcher has for example already made a preselection by deciding about search strings, for example “Teaching Open Science”. In this respect, transparency is the core criteria for a high-quality review.

    In order to achieve high quality and transparency, Fink (2019: 6-7) proposes the following seven steps:

    1. Selecting a research question.
    2. Selecting the bibliographic database.
    3. Choosing the search terms.
    4. Applying practical screening criteria.
    5. Applying methodological screening criteria.
    6. Doing the review.
    7. Synthesizing the results.

    I have adapted these steps for the “Teaching Open Science” systematic literature review. In the following, I will present the decisions I have made.

    Systematic literature review – decisions I made

    1. Research question: I am interested in the following research questions: How is Open Science taught in higher education? Is Open Science taught in its full range with all aspects like Open Access, Open Data, Open Methodology, Open Science Evaluation and Open Science Tools? Which aspects are taught? Are there disciplinary differences as to which aspects are taught and, if so, why are there such differences?
    2. Databases: I started my search at the Directory of Open Science (DOAJ). “DOAJ is a community-curated online directory that indexes and provides access to high quality, open access, peer-reviewed journals.” (https://doaj.org/) Secondly, I used the Bielefeld Academic Search Engine (base). Base is operated by Bielefeld University Library and “one of the world’s most voluminous search engines especially for academic web resources” (base-search.net). Both platforms are non-commercial and focus on Open Access publications and thus differ from the commercial publication databases, such as Web of Science and Scopus. For this project, I deliberately decided against commercial providers and the restriction of search in indexed journals. Thus, because my explicit aim was to find articles that are open in the context of Open Science.
    3. Search terms: To identify articles about teaching Open Science I used the following search strings: “teaching open science” OR teaching “open science” OR teach „open science“. The topic search looked for the search strings in title, abstract and keywords of articles. Since these are very narrow search terms, I decided to broaden the method. I searched in the reference lists of all articles that appear from this search for further relevant literature. Using Google Scholar I checked which other authors cited the articles in the sample. If the so checked articles met my methodological criteria, I included them in the sample and looked through the reference lists and citations at Google Scholar. This process has not yet been completed.
    4. Practical screening criteria: I have included English and German articles in the sample, as I speak these languages (articles in other languages are very welcome, if there are people who can interpret them!). In the sample only journal articles, articles in edited volumes, working papers and conference papers from proceedings were included. I checked whether the journals were predatory journals – such articles were not included. I did not include blogposts, books or articles from newspapers. I only included articles that fulltexts are accessible via my institution (University of Kassel). As a result, recently published articles at Elsevier could not be included because of the special situation in Germany regarding the Project DEAL (https://www.projekt-deal.de/about-deal/). For articles that are not freely accessible, I have checked whether there is an accessible version in a repository or whether preprint is available. If this was not the case, the article was not included. I started the analysis in May 2019.
    5. Methodological criteria: The method described above to check the reference lists has the problem of subjectivity. Therefore, I hope that other people will be interested in this project and evaluate my decisions. I have used the following criteria as the basis for my decisions: First, the articles must focus on teaching. For example, this means that articles must describe how a course was designed and carried out. Second, at least one aspect of Open Science has to be addressed. The aspects can be very diverse (FOSS, repositories, wiki, data management, etc.) but have to comply with the principles of openness. This means, for example, I included an article when it deals with the use of FOSS in class and addresses the aspects of openness of FOSS. I did not include articles when the authors describe the use of a particular free and open source software for teaching but did not address the principles of openness or re-use.
    6. Doing the review: Due to the methodical approach of going through the reference lists, it is possible to create a map of how the articles relate to each other. This results in thematic clusters and connections between clusters. The starting point for the map were four articles (Cook et al. 2018; Marsden, Thompson, and Plonsky 2017; Petras et al. 2015; Toelch and Ostwald 2018) that I found using the databases and criteria described above. I used yEd to generate the network. „yEd is a powerful desktop application that can be used to quickly and effectively generate high-quality diagrams.” (https://www.yworks.com/products/yed) In the network, arrows show, which articles are cited in an article and which articles are cited by others as well. In addition, I made an initial rough classification of the content using colours. This classification is based on the contents mentioned in the articles’ title and abstract. This rough content classification requires a more exact, i.e., content-based subdivision and

  11. Which journal characteristics are crucial for scientists when selecting...

    • zenodo.org
    • data.niaid.nih.gov
    html
    Updated May 9, 2022
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    Josephine Hartwig; Josephine Hartwig; Anita Eppelin; Anita Eppelin (2022). Which journal characteristics are crucial for scientists when selecting journals for their publications? Results tables of an online survey [Dataset]. http://doi.org/10.5281/zenodo.5728148
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    htmlAvailable download formats
    Dataset updated
    May 9, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Josephine Hartwig; Josephine Hartwig; Anita Eppelin; Anita Eppelin
    License

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

    Description

    As part of the BMBF-funded project "B!SON - Bibliometric and Semantic Open Access Recommender Network", an online survey was conducted among scientists using SoSci Survey (Leiner, 2019). The aim of the survey was to determine the importance of various characteristics of scientific journals in the decision for a publication venue by scientists. The characteristics were determined by analysis of other recommender systems, literature research and discussion with scientists. The data published here are based on 884 completed questionnaires (only questionnaires in which at least 90% of the questions had been answered were included in the analysis).

    In the questionnaire, a distinction was made between those characteristics that scientists would like to use to limit the selection of eligible journals from the outset (table "B!SON_Survey_Filter_Criteria_EN") and those that scientists need for their final decision from a list of recommended journals ("B!SON_Survey_Journal_Selection_EN"). For each journal property, the respondents could choose between the categories of a 5-point Likert scale: "not at all important - not very important - somewhat important - very important - extremely important". If the scientists were not able to evaluate a characteristic, they could also select "I can't say".

    In the two tables of results, the approval percentage and the rank based on it are listed for all journal properties queried in the respective part of the survey. The approval percentage is calculated from the percentage of people who rated the respective property as "very important" or "extremely important". Approval rate and rank are presented across all respondents (overall column), as well as within the 4 science disciplines by DFG (Natural Sciences, Engineering Sciences, Life Sciences, Humanities and Social Sciences) and the category "Other Sciences".

    Both tables can be sorted by approval rate and rank per scientific discipline or across disciplines.

    Note on the use of the HTML files: These can be downloaded via the download button and then opened and viewed with any web browser.

    A German version of the results tables is available under https://doi.org/10.5281/zenodo.5412197.

  12. r

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

    • researchhelpdesk.org
    Updated Feb 16, 2023
    + more versions
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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

  13. 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
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    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

  14. The 2006 impact factor of Web of Science specialized Journals and subsets of...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Rogerio Meneghini; Abel L. Packer; Lilian Nassi-Calò (2023). The 2006 impact factor of Web of Science specialized Journals and subsets of articles from England, France, Germany, Japan and USA. [Dataset]. http://doi.org/10.1371/journal.pone.0003804.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Rogerio Meneghini; Abel L. Packer; Lilian Nassi-Calò
    License

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

    Area covered
    Germany, France, England, United States, Japan
    Description

    Data were collected from Thomson Reuters WoS data base. Two columns of IF are shown for each country for selected journals. One is for the total of articles of the country and the other for articles with affiliation of the country only, without collaboration. For each journal the corresponding 2006 citations of 2004+2005 articles and the number of 2004+2005 articles are shown below each IF value.

  15. Which types of research are newsworthy? UK newspapers 2006-2015 citing Web...

    • figshare.com
    pdf
    Updated Mar 31, 2017
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    Kayvan Kousha; Mike Thelwall (2017). Which types of research are newsworthy? UK newspapers 2006-2015 citing Web of Science journals [Dataset]. http://doi.org/10.6084/m9.figshare.4796548.v2
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    pdfAvailable download formats
    Dataset updated
    Mar 31, 2017
    Dataset provided by
    figshare
    Authors
    Kayvan Kousha; Mike Thelwall
    License

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

    Area covered
    United Kingdom
    Description

    This paper introduces a citation-based method to obtain updated and extended information about news coverage of research. ProQuest was used to search for citations to 9,639 Science and 3,412 Social Science journals from eight UK daily newspapers during 2006-2015. Most Science (95%) and Social Science (94%) journals were never cited by these newspapers. Half of the cited Science journals covered medical or health-related topics, whereas 43% of the Social Sciences journals were related to psychiatry or psychology. There was no general trend for news coverage to increase or decrease over time. A content analysis of the citing news stories found that 94% mentioned journals to report research findings. From these, 60% described research extensively and 53% used more than one source. There were variations in the extent to which newspapers reported good or bad news and most news stories had no comments about the quality of the reported research. Finally, a small number of prestigious British journals were cited particularly often. In conclusion, whilst it is challenging to attract press coverage for non-health research, it is less difficult than previously thought for the social sciences and researchers should be encouraged to promote health-related studies and those in prestigious journals.

  16. S

    Web of Science

    • redivis.com
    avro, csv, ndjson +4
    Updated May 19, 2022
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    Stanford Libraries (2022). Web of Science [Dataset]. http://doi.org/10.57761/3sd6-sb67
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    stata, parquet, ndjson, avro, spss, csv, sasAvailable download formats
    Dataset updated
    May 19, 2022
    Authors
    Stanford Libraries
    Time period covered
    Jan 1, 2021 - Dec 31, 2021
    Description

    Abstract

    Data includes metadata from over 12,500 journals from around the world in Sciences, Social Science and Humanities disciplines. Data are available from 1900 and currently include over 73 million article records and 1.4 billion cited references.

    Bulk Data Access

    Data access is required to view this section.

  17. B

    Canadian Student-led Academic Journals - platforms and indexing data

    • borealisdata.ca
    • search.dataone.org
    Updated May 4, 2023
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    Mariya Maistrovskaya (2023). Canadian Student-led Academic Journals - platforms and indexing data [Dataset]. http://doi.org/10.5683/SP3/QXEUVH
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 4, 2023
    Dataset provided by
    Borealis
    Authors
    Mariya Maistrovskaya
    License

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

    Area covered
    Canada
    Description

    This dataset was compiled as part of a study on Barriers and Opportunities in the Discoverability and Indexing of Student-led Academic Journals. The list of student journals and their details is compiled from public sources. This list is used to identify the presence of Canadian student journals in Google Scholar as well as in select indexes and databases: DOAJ, Scopus, Web of Science, Medline, Erudit, ProQuest, and HeinOnline. Additionally, journal publishing platform is recorded to be used for a correlational analysis against Google Scholar indexing results. For further details see README.

  18. Russian authors' publications indexed in Web of Science 2000-2021

    • statista.com
    Updated Mar 20, 2024
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    Statista (2024). Russian authors' publications indexed in Web of Science 2000-2021 [Dataset]. https://www.statista.com/statistics/1148082/number-of-russian-publications-indexed-in-web-of-science/
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    Dataset updated
    Mar 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Russia
    Description

    The number of scientific publications by Russian authors indexed in Web of Science has more than doubled over the observed period. The figures decreased for the first time in 2020, when their number was measured at 86.3 thousand, a decline of 3.6 thousand publications from the previous year. In 2021, the numbers fell further and stood at 71.6 thousand.

  19. r

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

    • researchhelpdesk.org
    Updated Jan 16, 2024
    + more versions
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    Research Help Desk (2024). International Journal of Advanced Computer Science and Applications Abstract & Indexing - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/abstract-and-indexing/353/international-journal-of-advanced-computer-science-and-applications
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    Dataset updated
    Jan 16, 2024
    Dataset authored and provided by
    Research Help Desk
    Description

    International Journal of Advanced Computer Science and Applications Abstract & Indexing - 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

  20. Contemporary open science publications

    • figshare.com
    txt
    Updated Mar 16, 2020
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    cj lortie (2020). Contemporary open science publications [Dataset]. http://doi.org/10.6084/m9.figshare.11989071.v1
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    txtAvailable download formats
    Dataset updated
    Mar 16, 2020
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    cj lortie
    License

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

    Description

    A scrape of the Web of Science bibliometric engine to explore the frequency of open science publications. This was restrictive search for 'open science' listed in the title of publications. This returned a total of 1708 items.

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(2025). Web of Science [Dataset]. http://identifiers.org/RRID:SCR_022706

Web of Science

RRID:SCR_022706, Web of Science (RRID:SCR_022706), Web of Knowledge

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17 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 21, 2025
Description

Database of bibliographic citations of multidisciplinary areas that covers various journals of medical, scientific, and social sciences including humanities.Publisher independent global citation database.

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