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.

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.

This is dataset about Serbian papers published in journals indexed in Web of Science collections in the period 2003-2021
We used as "serbian" countries: Serbia, Serbia and Montenegro, Yugoslavia

The terms Serbian researcher and Serbian paper used in this dataset are defined as follows:
Serbian researcher is a researcher affiliated with a Serbian institution,
Serbian paper is a paper with at least one Serbian researcher in the list of authors.
This means that a paper published by a researcher with non-Serbian nationality (i.e. German) working at a Serbian institution is taken into account in the analysis of Serbian papers described in this paper.

Thomson Reuters’ Web of Science (WoS) database was used for data acquisition. We searched Serbian papers in two WoS collections - Science Citation Index Expanded (SCIE) and the Social Science Citation Index (SSCI). The search query executed over those collections on 18th of January, 2022.
CU=(%Serbia% OR %Serbia and Montenegro% OR %Yugoslavia%) AND PY=[2003-2021]

We also analyzed the number of articles of Serbian researchers published in journals with an unstable impact factor (IF), i.e. journals which didn’t have an IF before 2008, and had one in some subperiod of 2008-2015, i.e. lost their IF until 2015. The majority of those journals stopped being indexed in Web of Science as a ban for losing the quality or having predatory journal behavior. We found 143 such journals and their ISSNs by using the JCR (Journal citation reports in the period 2007 - 2015).

The data is comprised of search results of journal articles from Scopus and Web of Science databases using three Boolean search strings. The search strings are:(“certification” AND “meat”) OR (“certification” AND “dairy”)], (ii) [(“credence” AND meat) OR (“experience” AND meat)], and (iii) [(“meat” AND “intrinsic”) OR (“meat” AND “extrinsic”) OR (“meat” AND “quality cue”)]

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.

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

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.

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

This dataset contains data collected during a study ("Towards High-Value Datasets determination for data-driven development: a systematic literature review") conducted by Anastasija Nikiforova (University of Tartu), Nina Rizun, Magdalena Ciesielska (Gdańsk University of Technology), Charalampos Alexopoulos (University of the Aegean) and Andrea Miletič (University of Zagreb)
It being made public both to act as supplementary data for "Towards High-Value Datasets determination for data-driven development: a systematic literature review" paper (pre-print is available in Open Access here -> https://arxiv.org/abs/2305.10234) and in order for other researchers to use these data in their own work.

The protocol is intended for the Systematic Literature review on the topic of High-value Datasets with the aim to gather information on how the topic of High-value datasets (HVD) and their determination has been reflected in the literature over the years and what has been found by these studies to date, incl. the indicators used in them, involved stakeholders, data-related aspects, and frameworks. The data in this dataset were collected in the result of the SLR over Scopus, Web of Science, and Digital Government Research library (DGRL) in 2023.

***Methodology***

To understand how HVD determination has been reflected in the literature over the years and what has been found by these studies to date, all relevant literature covering this topic has been studied. To this end, the SLR was carried out to by searching digital libraries covered by Scopus, Web of Science (WoS), Digital Government Research library (DGRL).

These databases were queried for keywords ("open data" OR "open government data") AND ("high-value data*" OR "high value data*"), which were applied to the article title, keywords, and abstract to limit the number of papers to those, where these objects were primary research objects rather than mentioned in the body, e.g., as a future work. After deduplication, 11 articles were found unique and were further checked for relevance. As a result, a total of 9 articles were further examined. Each study was independently examined by at least two authors.

To attain the objective of our study, we developed the protocol, where the information on each selected study was collected in four categories: (1) descriptive information, (2) approach- and research design- related information, (3) quality-related information, (4) HVD determination-related information.

***Test procedure***
Each study was independently examined by at least two authors, where after the in-depth examination of the full-text of the article, the structured protocol has been filled for each study.
The structure of the survey is available in the supplementary file available (see Protocol_HVD_SLR.odt, Protocol_HVD_SLR.docx)
The data collected for each study by two researchers were then synthesized in one final version by the third researcher.

***Description of the data in this data set***

Protocol_HVD_SLR provides the structure of the protocol
Spreadsheets #1 provides the filled protocol for relevant studies.
Spreadsheet#2 provides the list of results after the search over three indexing databases, i.e. before filtering out irrelevant studies

The information on each selected study was collected in four categories:
(1) descriptive information,
(2) approach- and research design- related information,
(3) quality-related information,
(4) HVD determination-related information

Descriptive information
1) Article number - a study number, corresponding to the study number assigned in an Excel worksheet
2) Complete reference - the complete source information to refer to the study
3) Year of publication - the year in which the study was published
4) Journal article / conference paper / book chapter - the type of the paper -{journal article, conference paper, book chapter}
5) DOI / Website- a link to the website where the study can be found
6) Number of citations - the number of citations of the article in Google Scholar, Scopus, Web of Science
7) Availability in OA - availability of an article in the Open Access
8) Keywords - keywords of the paper as indicated by the authors
9) Relevance for this study - what is the relevance level of the article for this study? {high / medium / low}

Approach- and research design-related information
10) Objective / RQ - the research objective / aim, established research questions
11) Research method (including unit of analysis) - the methods used to collect data, including the unit of analy-sis (country, organisation, specific unit that has been ana-lysed, e.g., the number of use-cases, scope of the SLR etc.)
12) Contributions - the contributions of the study
13) Method - whether the study uses a qualitative, quantitative, or mixed methods approach?
14) Availability of the underlying research data- whether there is a reference to the publicly available underly-ing research data e.g., transcriptions of interviews, collected data, or explanation why these data are not shared?
15) Period under investigation - period (or moment) in which the study was conducted
16) Use of theory / theoretical concepts / approaches - does the study mention any theory / theoretical concepts / approaches? If any theory is mentioned, how is theory used in the study?

Quality- and relevance- related information
17) Quality concerns - whether there are any quality concerns (e.g., limited infor-mation about the research methods used)?
18) Primary research object - is the HVD a primary research object in the study? (primary - the paper is focused around the HVD determination, sec-ondary - mentioned but not studied (e.g., as part of discus-sion, future work etc.))

HVD determination-related information
19) HVD definition and type of value - how is the HVD defined in the article and / or any other equivalent term?
20) HVD indicators - what are the indicators to identify HVD? How were they identified? (components & relationships, “input -> output")
21) A framework for HVD determination - is there a framework presented for HVD identification? What components does it consist of and what are the rela-tionships between these components? (detailed description)
22) Stakeholders and their roles - what stakeholders or actors does HVD determination in-volve? What are their roles?
23) Data - what data do HVD cover?
24) Level (if relevant) - what is the level of the HVD determination covered in the article? (e.g., city, regional, national, international)

***Format of the file***
.xls, .csv (for the first spreadsheet only), .odt, .docx

***Licenses or restrictions***
CC-BY

For more info, see README.txt

See Table 2 for case study explanations.

Microsoft Access Database for bibliometric analysis found in the article: Elaine M. Lasda Bergman, Finding Citations to Social Work Literature: The Relative Benefits of Using Web of Science, Scopus, or Google Scholar, The Journal of Academic Librarianship, Volume 38, Issue 6, November 2012, Pages 370-379, ISSN 0099-1333, http://dx.doi.org/10.1016/j.acalib.2012.08.002. (http://www.sciencedirect.com/science/article/pii/S009913331200119X) Abstract: Past studies of citation coverage of Web of Science, Scopus, and Google Scholar do not demonstrate a consistent pattern that can be applied to the interdisciplinary mix of resources used in social work research. To determine the utility of these tools to social work researchers, an analysis of citing references to well-known social work journals was conducted. Web of Science had the fewest citing references and almost no variety in source format. Scopus provided higher citation counts, but the pattern of coverage was similar to Web of Science. Google Scholar provided substantially more citing references, but only a relatively small percentage of them were unique scholarly journal articles. The patterns of database coverage were replicated when the citations were broken out for each journal separately. The results of this analysis demonstrate the need to determine what resources constitute scholarly research and reflect the need for future researchers to consider the merits of each database before undertaking their research. This study will be of interest to scholars in library and information science as well as social work, as it facilitates a greater understanding of the strengths and limitations of each database and brings to light important considerations for conducting future research. Keywords: Citation analysis; Social work; Scopus; Web of Science; Google Scholar

The search for scientific production will be carried out in the PubMed, Web of Science, Scopus, ScienceDirect and Embase databases via CAFe remote access, through the Journal Portal of the Coordination of Superior Level Staff Improvement (CAPES); and the Latin American and Caribbean Health Sciences Literature (LILACS), via the Virtual Health Library (VHL). The search strategy was built on PubMed, using Medical Subject Headings (MeSH) and added keywords, which were adapted for other databases.

Background: We identify the most cited articles that have influenced the clinical practices of neurologists. Methods: We first analyzed the top 100 cited articles published in 50 neurology journals with high impact factors. We collected all of the original articles on clinical neurology published in all 554 medical journals. The Institute for Scientific Information Web of Science search tools were used to identify the top 100 cited articles in the database of Journal Citation Reports since 1950, which were then manually reviewed to discover their contents. Results: In the first part of analysis, the top 100 cited articles were all published in 17 journals, with 26 articles published in Neurology. The most frequent topic subject of neurodegeneration appeared in 40 articles. The second part of the analysis revealed that the top 100 cited articles were also all published in 17 journals, with 30 articles published in New England Journal of Medicine. In contrast to the first part of the analysis, stroke was the most frequent topic subject (in 38 articles). Conclusions: Our bibliometric analysis has yielded 2 detailed lists of the top 100 cited articles that were listed separately using different methods. This approach can provide information about the trends and academic achievements in the field of clinical neurology.

Dataset belonging to the report: Publication cultures and Dutch research output: a quantitative assessment

On the report:

Research into publication cultures commissioned by VSNU and carried out by Utrecht University Library has detailed university output beyond just journal articles, as well as the possibilities to assess open access levels of these other output types. For all four main fields reported on, the use of publication types other than journal articles is indeed substantial. For Social Sciences and Arts & Humanities in particular (with over 40% and over 60% of output respectively not being regular journal articles) looking at journal articles only ignores a significant share of their contribution to research and society. This is not only about books and book chapters, either: book reviews, conference papers, reports, case notes (in law) and all kinds of web publications are also significant parts of university output.

Analyzing all these publication forms and especially determining to what extent they are open access is currently not easy. Even combining some the largest citation databases (Web of Science, Scopus and Dimensions) leaves out a lot of non-article content and in some fields even journal articles are only partly covered. Lacking metadata like affiliations and DOIs (either in the original documents or in the scholarly search engines) makes it even harder to analyze open access levels by institution and field. Using repository-harvesting databases like BASE and NARCIS in addition to the main citation databases improves understanding of open access of non-article output, but these routes also have limitations. The report has recommendations for stakeholders, mostly to improve metadata and coverage and apply persistent identifiers.

Indian journal of pharmaceutical sciences Acceptance Rate - ResearchHelpDesk - Indian Journal of Pharmaceutical Sciences (0250-474X), is the official scientific publication of the Indian Pharmaceutical Association. It started in 1939 as the Indian Journal of Pharmacy. the journal is published Bimonthly. Abstracting and Indexing Information The journal is included in the following Abstracting / Indexing services: Biosis Preview, Chemical Abstract Service (CAS), CNKI (China National Knowledge Infrastructure), Centre for Agriculture and Biosciences International (CABI), Cite Factor, EBSCO A-Z, Ex-Libris, Hamdard University, Journal TOCs, JournalSeek, Journal Citation Reports, Open J Gate, Publons, Proquest Summons, Refseek, Secret Search Engine Labs, Sherpa Romeo, SCOPUS, Science Citation Index Expanded, SJR (Scimago Journal and Country Rank), UGC (University Grants Commission), Ulrich Periodical Directory, World Cat - OCLC and Web of Science. Journal Ethics The Indian Journal of Pharmacy started in 1939 as "a quarterly journal devoted to the Science and practice of Pharmacy in all its branches". The Chief Editor and the main guiding force behind the 'Journal' was Prof. M. L. Schroff, Head of the Department of Pharmaceutics, Benaras Hindu University, Benaras. Owing to various difficulties experienced in publishing the 'Journal" at Benaras, the Council of IPA decided in 1946 to entrust the task to its Bombay Branch, and to transfer the editorial and publication offices to Bombay. Prof. M. L. Khorana, Head of the Pharmaceuticals Section, Department of Chemical Technology, Bombay University was requested to take the Editorship. In 1949 it was decided to publish this journal bi-monthly instead of quarterly. Soon after from January 1950 this journal started coming out as a monthly periodical. While Mr. S. P. Mukherji worked as Assistant Editor from 1946 to 1952, in May 1950 Mr. N. S. Bhunvara joined as the second Assistant Editor. The Headquarters of the IPA was shifted to Bombay with effect from 1st January 1953 and this helped considerably the publication of this journal and its circulation to members. Prof. Khorana resigned as Editor of the journal with effect from 1 January 1954 and Dr. G. B. Ramasarma succeeded him as the Editor and Mr. A. I. Mehta and Dr. R. S. Baichwal joined as Assistant Editors. In 1955 July, the journal’s office together with those of the Association and the Bombay State Branch was shifted from U. D. C. T., Matunga to Kalam Kutir 213-219, Frere Road, Bombay - 1. From 1959, Mr. L. S. Patel joined as the third Assistant Editor. In 1963, the Indian Journal of Pharmacy celebrated its Silver Jubilee. A detailed history of the Journal was published in the journal (IJP, 1963, 25, 8-17). The year 1969 represented an important milestone in the history of IJP. From this year it changed its character from that of “the official publication” of the IPA to that of "the official scientific publication" of the association. Publication of professional and other general articles and Association News was taken over by a new monthly periodical called "Pharma Times" with Mr. A. I. Mehta as its Editor. The IJP became an exclusively scientific journal and the frequency of its publication was reduced to that of a bimonthly. Dr. R. S. Baichwal took over as the first Editor of this Journal. In 1979 the name of IJP was expanded to the 'Indian Journal of Pharmaceutical Sciences'. In 1986, Dr. C. L. Kaul joined as the Associated Editor, went on to become the Editor in 1992, and continued till 1996. Dr. Rao V. S. V. Vadlamudi joined the editorial team as the Associate Editor in 1994, became the Editor in 1996, and continued till 2013. Dr. Divakar Goli is elected as the Editor for IJPS in 2014 and continues till date. The journal changed its get-up in 2000 and became online in 2006 with the journal website www.ijpsonline.com. Currently it is available as a print version with a circulation of about 800 and also available online. Indian Pharmaceutical Association The Indian Pharmaceutical Association (IPA) is the oldest premier association of pharmaceutical professionals in India, with a member base of over 13,000, spread across the length and breadth of the country. IPA operates in India through 20 state branches and more than 45 local branches. The members represent various facets of pharmaceutical profession viz., industry, regulatory, community and hospital pharmacy practices, and education. As a member of the Drug Technical Advisory Board, India, IPA is actively involved in advising the government on matters of professional importance. IPA is affiliated with international pharma associations like FIP, FAPA, CPA, AAPS, AAiPS, IPSF and is working with international bodies such as WHO and WHPA for carrying out various collaborative professional activities that include organizing training programs for professionals from industry, academics, regulatory and practice. IPA makes representations to the authorities on matters of professional interest and works constantly towards upgrading the standards of pharmacy professional services offered by the pharmacists. IPA’s major objective is to position pharmacists as one of the important healthcare providers in our country. The IPA is committed to promote the highest professional and ethical standards of pharmacy, focus the image of pharmacists as competent healthcare professionals, sensitize the community, government, and others on vital professional issues and support pharmaceutical education and sciences in all aspects. RG Journal Impact: 0.15 * *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 0.15 2017 0.50 2016 0.35 2015 1.21 2014 1.04 2013 0.46 2012 0.82 2011 0.05 2010 0.22 2009 0.69 2008 0.56 2007 0.28 2006 0.55 2005 0.14 2002 0.19 The Indian Journal of Pharmacy Details Indian Journal of Pharmacy H Index: 50 Publication Type: Journals Coverage: 1978-ongoing Subject Area and Category Pharmacology, Toxicology and Pharmaceutics, Pharmaceutical Science Pharmaceutical Technology, Pharmaceutics, Biopharmaceutics, Pharmacokinetics, Pharmaceutical/Medicinal Chemistry, Computational Chemistry and Molecular Drug Design, Pharmacognosy and Phytochemistry, Pharmacology and Therapeutics, Pharmaceutical Analysis, Pharmacy Practice, Clinical and Hospital Pharmacy, Pharmacovigilance, Pharmacoepidemiology, Pharmacoeconomics, Drug Information, Patient Counselling, Adverse Drug Reactions Monitoring, Medication Errors, Medication Optimization, Medication Therapy Management, Cell Biology, Genomics and Proteomics, Pharmacogenomics, Bioinformatics and Biotechnology of Pharmaceutical Interest

Biomed research international Acceptance Rate - ResearchHelpDesk - Aims and scope BioMed Research International is a peer-reviewed, Open Access journal that publishes original research articles and reviews articles covering a wide range of subjects in life sciences and medicine. The journal is divided into 56 subject areas. Journal Title History BioMed Research International 2013–Current Journal of Biomedicine and Biotechnology 2001–2012 (Title Changed) Acknowledgements BioMed Research International was founded in 2001 by Professor Abdelali Haoudi who served as the Editor-in-Chief of the journal between 2001 and 2008. Open Access BioMed Research International is an open-access journal. All articles are immediately available to read and reuse upon publication. Full list of databases and services Abstracts on Hygiene and Communicable Diseases Academic OneFile - Agriculture Collection Academic Search Alumni Edition Academic Search Complete Access to Global Online Research in Agriculture (AGORA) AgBiotech Net AgBiotech News and Information Agricultural Economics Database Agricultural Engineering Abstracts Agroforestry Abstracts AIDS and Cancer Research Abstracts Algology, Mycology and Protozoology (Microbiology C) Animal Breeding Abstracts Animal Production Database Animal Science Database Bacteriology Abstracts (Microbiology B) Biocontrol News and Information BioEngineering Abstracts Biofuels Abstracts Biological Abstracts Biological Sciences BIOSIS Previews Biotechnology and BioEngineering Abstracts Biotechnology Research Abstracts Botanical Pesticides CAB Abstracts Cabell’s Directories Chemical Abstracts Service (CAS) Chemical Engineering and Biotechnology Abstracts (CEABA) CINAHL Plus with Full Text CNKI Scholar Corrosion Abstracts Crop Physiology Abstracts Crop Science Database Dairy Science Abstracts Directory of Open Access Journals (DOAJ) EBSCOhost Connection EBSCOhost Research Databases Elsevier BIOBASE - Current Awareness in Biological Sciences (CABS) EMBASE EMBIOlogy EMCare Engineering Research Database Entomology Abstracts Environmental Impact Environmental Science Database Expanded Academic ASAP Field Crop Abstracts Forest Products Abstracts Forest Science Database Forestry Abstracts Global Health Google Scholar Grasslands and Forage Abstracts Health Reference Center Academic Helminthological Abstracts HighBeam Research HINARI Access to Research in Health Programme Horticultural Science Abstracts Index Medicus Index Veterinarius Industrial and Applied Microbiology Abstracts InfoTrac Custom journals J-Gate Portal Journal Citation Reports - Science Edition Maize Abstracts Medical and Pharmaceutical Biotechnology Abstracts MEDLINE Nematological Abstracts Nursing and Allied Health Collection: Comprehensive Nursing Resource Center Nutrition Abstracts and Reviews Series A Nutrition Abstracts and Reviews Series B Nutrition and Food Sciences Database Open Access Journals Integrated Service System Project (GoOA) Ornamental Horticulture Parasitology Database Pig News and Information Plant Breeding Abstracts Plant Genetic Resources Abstracts Plant Genetics and Breeding Database Plant Growth Regulator Abstracts Plant Protection Database Polymer Library Postharvest News and Information Poultry Abstracts Primo Central Index Professional ProQuest Central ProQuest Advanced Technologies and Aerospace Collection ProQuest Biological Science Collection ProQuest Central ProQuest Health and Medical Complete ProQuest Medical Library ProQuest Natural Science Collection ProQuest SciTech Premium Collection ProQuest Technology Collection Protozoological Abstracts PubMed PubMed Central Review of Aromatic and Medicinal Plants Review of Medical and Veterinary Entomology Review of Medical and Veterinary Mycology Review of Plant Pathology Rice Abstracts Rural Development Abstracts SafetyLit Science Citation Index Expanded Scopus Seed Abstracts Soil Science Database Soils and Fertilizers Abstracts Solid State and Superconductivity Abstracts Sugar Industry Abstracts Technology Research Database The Summon Service Toxicology Abstracts Tropical Diseases Bulletin Veterinary Bulletin Veterinary Science Database Virology and AIDS Abstracts Web of Science (WoS) Weed Abstracts Wheat, Barley and Triticale Abstracts World Agricultural Economics and Rural Sociology Abstracts WorldCat Discovery Services

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.

This dataset includes 720 Web of Science-indexed journal articles on teachers' satisfaction. The primary purpose of this dataset is to support the work "A Bibliometrics Analysis of Research on Teacher Satisfaction from 1956 to 2022"

This data set contains the results of a survey about researchers’ adoption of and attitudes toward preprinting. The survey respondents are authors of journal articles published in 2021 and early 2022 and indexed in the Web of Science database. The questions in the survey are grouped into three sections: adoption of preprinting, attitudes toward preprinting, and demographic questions.

The Word document contains the survey form.

The Excel spreadsheet contains the raw survey data. Free-text responses are not included in the spreadsheet because they may reveal sensitive information.

The "heatmap_Rdata.xlsx" and "heatmap_Rcode.txt" contain data and R code in Figs. 8, 9, 10.

For more information about this data set, please see the paper "To Preprint or Not to Preprint: A Global Researcher Survey" by Rong Ni and Ludo Waltman. The paper is available at https://doi.org/10.31235/osf.io/k7reb.