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.

Objective: To determine the top 100-ranked (by impact factor) clinical journals' policies toward publishing research previously published on preprint servers (preprints).

Design: Cross sectional. Main outcome measures: Editorial guidelines toward preprints, journal rank by impact factor.

Results: 86 (86%) of the journals examined will consider papers previously published as preprints (preprints), 13 (13%) determine their decision on a case-by-case basis, and 1 (1%) does not allow preprints.

Conclusions: We found wide acceptance of publishing preprints in the clinical research community, although researchers may still face uncertainty that their preprints will be accepted by all of their target journals.

Methods We examined journal policies of the 100 top-ranked clinical journals using the 2018 impact factors as reported by InCites Journal Citation Reports (JCR). First, we examined all journals with an impact factor greater than 5, and then we manually screened by title and category do identify the first 100 clinical journals. We included only those that publish original research. Next, we checked each journal's editorial policy on preprints. We examined, in order, the journal website, the publisher website, the Transpose Database, and the first 10 pages of a Google search with the journal name and the term "preprint." We classified each journal's policy, as shown in this dataset, as allowing preprints, determining based on preprint status on a case-by-case basis, and not allowing any preprints. We collected data on April 23, 2020.

(Full methods can also be found in previously published paper.)

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.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Source: http://www.ucop.edu/ucophome/uwnews/stat/statsum/fall2007/statsumm2007.pdf (table 9).

Raw data belonged to the study of use and sharing of raw research data in the Journal Citation Reports' Emergency Medicine Category.

Datasets for publication: 'Measuring the excellence contribution at the journal level: An alternative to Garfield's Impact Factor'.

Overview. Overview of the number of journals, publications, excellent publications and multidisciplinarity for each category considered.

ALL. Journal indicators for all the document types by JCR category.

ALL_JCR. Journal indicators for all the document types by JCR category (only journals indexed in the JCR category are taken into account).

AR. Journal indicators for only articles and reviews by JCR category.

AR_JCR. Journal indicators for only articles and reviews by JCR category (only journals indexed in the JCR category are taken into account).

In order to replicate the results in this study you require Stata 12 or higher versions and the provided data and do files. Download the do file and the data file into one directory, unzip the data file into that same directory, enter your working directory in the do file, and execute the code in Stata. When using the data, please cite: Nils-Christian Bormann, Lars-Erik Cederman & Manuel Vogt (2015). "Language, Religion, and Ethnic Civil War." Online first in Journal of Conflict Resolution. Abstract: Are certain ethnic cleavages more conflict-prone than others? While only few scholars focus on the contents of ethnicity, most of those who do argue that political violence is more likely to occur along religious divisions than linguistic ones. We challenge this claim by analyzing the path from linguistic differences to ethnic civil war along three theoretical steps: (1) the perception of grievances by group members, (2) rebel mobilization, and (3) government accommodation of rebel demands. Our argument is tested with a new data set of ethnic cleavages that records multiple linguistic and religious segments for ethnic groups from 1946 to 2009. Adopting a relational perspective, we assess ethnic differences between potential challengers and the politically dominant group in each country. Our findings indicate that intrastate conflict is more likely within linguistic dyads than among religious ones. Moreover, we find no support for the thesis that Muslim groups are particularly conflict-prone. http://jcr.sagepub.com/content/early/2015/08/24/0022002715600755.abstract

Replication data for regression models in the article Introducing the UCDP CID, as published in Journal of Conflict Resolution

Raw data belonged to the study of use and sharing of raw research data in the Journal Citation Reports' Reproductive Biology Category.

A mixed sampling methodology was implemented (Figure 1) to collect journals and articles. First, a selection filter was applied within the Institute for Scientific Information (ISI) Journal Citation Report (https://jcr.clarivate.com) database to generate a list of 504 life science journals. Then, exclusion criteria were applied to the journal list and 245 periodicals were removed. Filters and exclusion criteria are given in Table 1. Using a pseudo-random sequence of 20 numbers between 1 and 259 generated using GraphPad QuickCalc (https://www.graphpad.com/quickcalcs/randMenu), a final shortlist of 20 journals among the 259 preselected ordered by decreasing 2018 Impact Factor were selected (the latest available impact factor at the time of designing this study). Four additional journals were finally excluded either because they were eventually found to be too clinical or because there was no online access granted to the author’s institution, leading to a final list of 16 periodicals (Table 3). Clinical journals were excluded although they may include publications with some preclinical experiments. This was justified to prevent the possible bias created by both the presumed small proportion of such articles in clinical periodicals which would have prompted a larger sampling and the supposed compliance of these studies with clinical guidelines whose standards may be different 29,30. Fifteen articles per journal were collected by sampling the online contents of each journal, starting from the last issue released in 2019 and browsing backward. This time window was selected to avoid the abundant literature on Coronavirus disease 2019 (Covid-19) published since January 2020, which might show unusual statistical standards. Article inclusion and exclusion criteria are presented in Table 2. Studies using human data were acceptable when they used ex-vivo/in-vitro approaches for extracting tissues, cells or samples. From this intermediate list of 240 articles, 17 were finally excluded during the analysis due to previously unnoticed violations of inclusion criteria or for congruity with exclusion criteria, resulting in a final sample set that included 223 articles. Assessment of reportingEach article was explored, and three types of statistical attributes were quantified (Table 4). Indicators of the transparency of study protocols were binary items coded as 0 (presence of all needed information in the text) or 1 (absence of information in the text for at least one figure or table) and were aggregated as proportions of articles that had an insufficiency (non-disclosure) for the given item. The indicators were chosen as the minimum set of information needed by a reader to replicate the statistical protocol: precise sample size (experimental units), well identified test, software and no contradiction. A contradictory information is defined as a mismatch between information provided in different parts of the manuscript although they refer to the same object, such as the disclosure of dissimilar statistical tests (in methods and figure legends) to describe the analysis in one figure or the disclosure of multiple sample sizes for one single set of data. The article structure was assessed using quantitative items, specified as total counts of given items as well as one binary outcome (presence of a statistical paragraph). Qualitative items represented the article content and have been summarised as an inventory of information of interest. In the sampled articles, supplemental methods and information were considered full-fledged methodological information, but supplementary figures and tables presenting results were not eligible for the quantification of statistical insufficiencies, even if they were used to report location tests.

The availability of research data sets is an important milestone since it can enhance the dynamics of research. This study aims to analyze the PubMed Central repository to determine the availability and type of raw data sets in Cell & Tissue Engineering journals indexed in the Journal Citation Reports. The number and types of files were registered. A search of the 21 journals from the Cell & Tissue Engineering category of the 2015 Journal Citation Reports was conducted. Information was collected from October to December 2016. A study of the supplementary material of the original articles published between 2011-2015 was performed through a search in the PubMed Central repository, which is the most used free full-text repository in biomedicine. Only articles with supplementary material were retrieved. The number and types of files were registered. In cases where a compressed file, such as a .zip or .rar file, was found, it was opened to check what kinds of files it contained.

Journals list of the top 10 publishers in JCR 2014 to 2018

These raw data belong to the study “Gender inequalities on editorial boards of indexed pediatrics journals”.

The presence of women in decision-making positions, such as on editorial committees of biomedical journals, is not the same as that of men. This paper analyzes the gender composition of editorial committees (EBMs) and editor-in-chief (ECs) positions of pediatric journals. The gender of EBMs and ECs of 125 journals classified in the pediatrics area of the Journal Citation Report (JCR) were analyzed. The following indicators were calculated: gender distribution of ECs and EBMs by journal, publisher, subject speciality, country, quartile of the journal in JCR and country of affiliation of the members. The total number of EBMs was 4,242. The distribution by sex of the ECs was 19.44% women and 80.56% men, while the EBMs were 33.05% women and 66.95% men. Twenty journals exhibited a greater representation of women than men, and in four there was parity. Journals with greater participation of women specialized in nursing, physical therapy and were related to nutrition (lactation and breastfeeding). Only one-fifth of ECs and one-third of EBMs are female. Women's participation is higher in journals related to nursing, physical and occupational therapy, and nutrition. The United States has the highest number of EBMs, followed by the European Union.

This file contains the following variables: Rank, Full Journal Title,Editorial Board Members (EBM), First Name, Gender, Country, Country Code, Geographical Area, Editor-in-Chief (EC), Country Editor-in-Chief, Gender Editor-in-Chief, Url Journals.

Public administration is a discipline with considerable history, and is also a diverse, interdisciplinary field in social science. To analyze its evolution, discover the present research foci, and predict future development trends, this study applied scientometrics visualization technology to evaluate over 72,000 scientific articles from the 1920s to 2020s. This research referred to the SSCI and JCR databases to gather scientific data of the discipline and the journals’ impact factor. Consequently, paper citations, cited journals, journal co-citations, author co-citations, authoritative papers, top countries, productive institutes, average references, and research collaboration trends were analyzed on the bases of the published literature. This study found top productive journals in the discipline, discovered productive countries and institutes, present the research foci, and predicted future development trends. Through this study, scientific production, international cooperation, and knowledge evolution mode of public administration research offers a clear knowledge map of the public administration discipline.

This is the replication data for "When are Deals Possible? Bringing North Korea to the Bargaining Table"(JCR). You can download: (1) the STATA dataset for "When are Deals Possible? Bringing North Korea to the Bargaining Table"; (2) The STATA do file for "When are Deals Possible? Bringing North Korea to the Bargaining Table"; and (3) a file that contains the summaries and sources included in dataset for "When are Deals Possible? Bringing North Korea to the Bargaining Table".

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).

Replication data for Masterson and Lehmann: "Refugees, Mobilization, and Humanitarian Aid: Evidence from the Syrian Refugee Crisis in Lebanon" (JCR 2019)

A comprehensive citation analysis-based methodology for selecting the world scientific serials to be included in information environment for researchers in a specific natural or technical science is featured. The case study was fulfilled for serials to be included in information environment for researchers in optoelectronics and optical systems (OOS) with the use of Journal Citation Reports (JCR) data. The indices taken for serials assessment were: total citedness of a serial in the selected journals specialized in OOS; the “discipline impact factor” (Hirst 1978) i.e. the impact factor which numerator is the level of a serial citedness not by all the JCR-indexed journals, but by the specialized ones (in OOS), the denominator being the number of papers in a cited serial; the level of total citedness of the specialized journals in a serial under assessment; the “discipline susceptibility factor” of a serial (Lazarev and Skalaban 2016; Lazarev et al. 2017), i.e. the number of citations to the mentioned specialized journals made in a serial being assessed divided by the number of papers in a citing serial. The citation window is one year, the publication window is “5+1” years (i.e. 5 previous years plus the year of citing). With the application of the outlined methodology, the selection of serials believed to be necessary to implement research in OOS has been accomplished, and after application of threshold values, merging and elimination some of the data, the list of 538 periodicals has been determined. The second pair of indices reflects the susceptibility of the serials being determined to the research field represented by cited specialized journals.