The data in this set was culled from the Directory of Open Access Journals (DOAJ), the Proquest database Library and Information Science Abstracts (LISA), and a sample of peer reviewed scholarly journals in the field of Library Science. The data include journals that are open access, which was first defined by the Budapest Open Access Initiative: By ‘open access’ to [scholarly] literature, we mean its free availability on the public internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of these articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. Starting with a batch of 377 journals, we focused our dataset to include journals that met the following criteria: 1) peer-reviewed 2) written in English or abstracted in English, 3) actively published at the time of..., Data Collection In the spring of 2023, researchers gathered 377 scholarly journals whose content covered the work of librarians, archivists, and affiliated information professionals. This data encompassed 221 journals from the Proquest database Library and Information Science Abstracts (LISA), widely regarded as an authoritative database in the field of librarianship. From the Directory of Open Access Journals, we included 144 LIS journals. We also included 12 other journals not indexed in DOAJ or LISA, based on the researchers’ knowledge of existing OA library journals. The data is separated into several different sets representing the different indices and journals we searched. The first set includes journals from the database LISA. The following fields are in this dataset:

Journal: title of the journal

Publisher: title of the publishing company

Open Data Policy: lists whether an open data exists and what the policy is

Country of publication: country where the journal is publ..., , # Open access practices of selected library science journals

The data in this set was culled from the Directory of Open Access Journals (DOAJ), the Proquest database Library and Information Science Abstracts (LISA), and a sample of peer reviewed scholarly journals in the field of Library Science.

The data include journals that are open access, which was first defined by the Budapest Open Access Initiative:Â

By ‘open access’ to [scholarly] literature, we mean its free availability on the public internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of these articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself.

Starting with a batch of 377 journals, we focused our dataset to include journals that met the following criteria: 1) peer-reviewed 2) written in Engli...

This data set accompanies the text at doi 10.5281/zenodo.3732273. // Correspondence: JH: info@africarxiv.org, SK: sk111@soas.ac.uk

Visual Map: https://kumu.io/access2perspectives/african-digital-research-repositories
Dataset: https://tinyurl.com/African-Research-Repositories
Archived at https://info.africarxiv.org/african-digital-research-repositories/
Submission form: https://forms.gle/CnyGPmBxN59nWVB38

Licensing: Text and Visual Map – CC-BY-SA 4.0 // Dataset – CC0 (Public Domain) // The licensing of each database is determined by the database itself

Preprint doi: 10.5281/zenodo.3732273.
Data set doi: 10.5281/zenodo.3732172 // available in different formats (pdf, xls, ods, csv)

The International African Institute (IAI, https://www.internationalafricaninstitute.org) in collaboration with AfricarXiv (https://info.africarxiv.org) present an interactive map of African digital research literature repositories. This drew from IAI’s earlier work from 2016 onwards to identify and list Africa-based institutional repositories that focused on identifying repositories based in African university libraries. Our earlier resources are available at https://www.internationalafricaninstitute.org/repositories.

The interactive map extends the work of the IAI to include organizational, governmental and international repositories. It also maps the interactions between research repositories. In this dataset, we focus on institutional repositories for scholarly works, as defined by Wikipedia contributors (March 2020).

Objective

The map of African digital repositories was created as a resource to be used in activities addressing the following aims:

1. Improving the discoverability of African research and publications

2. Enhance the interoperability of existing and emerging African repositories

3. Identify ways through which digital scholarly search engines can enhance the discoverability of African research

We promote the dissemination of research-based knowledge from African repositories as part of a bigger landscape that also includes online journals, research data repositories and scholarly book publishers to enhance the interconnectivity and accessibility of such repositories across and beyond the African continent and to contribute to a more granular understanding of the continent’s scholarly resources.

Data archiving and maintenance

The map and corresponding dataset are hosted on the AfricArXiv website under ‘Resources’ at https://info.africarxiv.org/african-digital-research-repositories/. The listing is not exhaustive and therefore we encourage any repositories relevant for the African continent not listed here to the submission form at https://forms.gle/CnyGPmBxN59nWVB38, or to notify the International African Institute (email sk111@soas.ac.uk). Both AfricArXiv and IAI will continue to maintain the list of repositories as a resource for African researchers and other stakeholders including international African studies communities.

ABSTRACT The objective of the article is to compare the Brazilian scientific production on Digital Heritage indexed in the Reference Database of Journal Articles in Information Science (BRAPCI) to what has been produced internationally and is indexed in the Web of Science (WoS). It comes from basic, qualitative, exploratory, descriptive, and bibliographic research. The corpus of analysis consists of 34 articles, 16 from BRAPCI and 18 from WOS, of which the main results are: scarce publication, but constant since 2005; 50% of articles published in Qualis A1 journals; in comparison, Brazil stands out in basic research, questioning the concept of memory in cyberspace. In international production, research focuses on the social reality of digital heritage and its transforming power in the preservation and dissemination of memory; the biggest distinction is in the way of treating digital heritage as an object of research, as 37.5% of research in Brazil is of an applied nature, while international production has an index of 77.8% in this aspect. Thus, it is necessary to reinforce, in the Brazilian informational debate, the dynamic and catalyzing effect of the concept of heritage in the digital interface, promoting new research and disseminating existing projects/initiatives in the applied scope of the area.

United States agricultural researchers have many options for making their data available online. This dataset aggregates the primary sources of ag-related data and determines where researchers are likely to deposit their agricultural data. These data serve as both a current landscape analysis and also as a baseline for future studies of ag research data. Purpose As sources of agricultural data become more numerous and disparate, and collaboration and open data become more expected if not required, this research provides a landscape inventory of online sources of open agricultural data. An inventory of current agricultural data sharing options will help assess how the Ag Data Commons, a platform for USDA-funded data cataloging and publication, can best support data-intensive and multi-disciplinary research. It will also help agricultural librarians assist their researchers in data management and publication. The goals of this study were to establish where agricultural researchers in the United States-- land grant and USDA researchers, primarily ARS, NRCS, USFS and other agencies -- currently publish their data, including general research data repositories, domain-specific databases, and the top journals compare how much data is in institutional vs. domain-specific vs. federal platforms determine which repositories are recommended by top journals that require or recommend the publication of supporting data ascertain where researchers not affiliated with funding or initiatives possessing a designated open data repository can publish data Approach The National Agricultural Library team focused on Agricultural Research Service (ARS), Natural Resources Conservation Service (NRCS), and United States Forest Service (USFS) style research data, rather than ag economics, statistics, and social sciences data. To find domain-specific, general, institutional, and federal agency repositories and databases that are open to US research submissions and have some amount of ag data, resources including re3data, libguides, and ARS lists were analysed. Primarily environmental or public health databases were not included, but places where ag grantees would publish data were considered. Search methods We first compiled a list of known domain specific USDA / ARS datasets / databases that are represented in the Ag Data Commons, including ARS Image Gallery, ARS Nutrition Databases (sub-components), SoyBase, PeanutBase, National Fungus Collection, i5K Workspace @ NAL, and GRIN. We then searched using search engines such as Bing and Google for non-USDA / federal ag databases, using Boolean variations of “agricultural data” /“ag data” / “scientific data” + NOT + USDA (to filter out the federal / USDA results). Most of these results were domain specific, though some contained a mix of data subjects. We then used search engines such as Bing and Google to find top agricultural university repositories using variations of “agriculture”, “ag data” and “university” to find schools with agriculture programs. Using that list of universities, we searched each university web site to see if their institution had a repository for their unique, independent research data if not apparent in the initial web browser search. We found both ag specific university repositories and general university repositories that housed a portion of agricultural data. Ag specific university repositories are included in the list of domain-specific repositories. Results included Columbia University – International Research Institute for Climate and Society, UC Davis – Cover Crops Database, etc. If a general university repository existed, we determined whether that repository could filter to include only data results after our chosen ag search terms were applied. General university databases that contain ag data included Colorado State University Digital Collections, University of Michigan ICPSR (Inter-university Consortium for Political and Social Research), and University of Minnesota DRUM (Digital Repository of the University of Minnesota). We then split out NCBI (National Center for Biotechnology Information) repositories. Next we searched the internet for open general data repositories using a variety of search engines, and repositories containing a mix of data, journals, books, and other types of records were tested to determine whether that repository could filter for data results after search terms were applied. General subject data repositories include Figshare, Open Science Framework, PANGEA, Protein Data Bank, and Zenodo. Finally, we compared scholarly journal suggestions for data repositories against our list to fill in any missing repositories that might contain agricultural data. Extensive lists of journals were compiled, in which USDA published in 2012 and 2016, combining search results in ARIS, Scopus, and the Forest Service's TreeSearch, plus the USDA web sites Economic Research Service (ERS), National Agricultural Statistics Service (NASS), Natural Resources and Conservation Service (NRCS), Food and Nutrition Service (FNS), Rural Development (RD), and Agricultural Marketing Service (AMS). The top 50 journals' author instructions were consulted to see if they (a) ask or require submitters to provide supplemental data, or (b) require submitters to submit data to open repositories. Data are provided for Journals based on a 2012 and 2016 study of where USDA employees publish their research studies, ranked by number of articles, including 2015/2016 Impact Factor, Author guidelines, Supplemental Data?, Supplemental Data reviewed?, Open Data (Supplemental or in Repository) Required? and Recommended data repositories, as provided in the online author guidelines for each the top 50 journals. Evaluation We ran a series of searches on all resulting general subject databases with the designated search terms. From the results, we noted the total number of datasets in the repository, type of resource searched (datasets, data, images, components, etc.), percentage of the total database that each term comprised, any dataset with a search term that comprised at least 1% and 5% of the total collection, and any search term that returned greater than 100 and greater than 500 results. We compared domain-specific databases and repositories based on parent organization, type of institution, and whether data submissions were dependent on conditions such as funding or affiliation of some kind. Results A summary of the major findings from our data review: Over half of the top 50 ag-related journals from our profile require or encourage open data for their published authors. There are few general repositories that are both large AND contain a significant portion of ag data in their collection. GBIF (Global Biodiversity Information Facility), ICPSR, and ORNL DAAC were among those that had over 500 datasets returned with at least one ag search term and had that result comprise at least 5% of the total collection. Not even one quarter of the domain-specific repositories and datasets reviewed allow open submission by any researcher regardless of funding or affiliation. See included README file for descriptions of each individual data file in this dataset. Resources in this dataset:Resource Title: Journals. File Name: Journals.csvResource Title: Journals - Recommended repositories. File Name: Repos_from_journals.csvResource Title: TDWG presentation. File Name: TDWG_Presentation.pptxResource Title: Domain Specific ag data sources. File Name: domain_specific_ag_databases.csvResource Title: Data Dictionary for Ag Data Repository Inventory. File Name: Ag_Data_Repo_DD.csvResource Title: General repositories containing ag data. File Name: general_repos_1.csvResource Title: README and file inventory. File Name: README_InventoryPublicDBandREepAgData.txt

Big Data and Society Abstract & Indexing - ResearchHelpDesk - Big Data & Society (BD&S) is open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies. The Journal's key purpose is to provide a space for connecting debates about the emerging field of Big Data practices and how they are reconfiguring academic, social, industry, business, and government relations, expertise, methods, concepts, and knowledge. BD&S moves beyond usual notions of Big Data and treats it as an emerging field of practice that is not defined by but generative of (sometimes) novel data qualities such as high volume and granularity and complex analytics such as data linking and mining. It thus attends to digital content generated through online and offline practices in social, commercial, scientific, and government domains. This includes, for instance, the content generated on the Internet through social media and search engines but also that which is generated in closed networks (commercial or government transactions) and open networks such as digital archives, open government, and crowdsourced data. Critically, rather than settling on a definition the Journal makes this an object of interdisciplinary inquiries and debates explored through studies of a variety of topics and themes. BD&S seeks contributions that analyze Big Data practices and/or involve empirical engagements and experiments with innovative methods while also reflecting on the consequences for how societies are represented (epistemologies), realized (ontologies) and governed (politics). Article processing charge (APC) The article processing charge (APC) for this journal is currently 1500 USD. Authors who do not have funding for open access publishing can request a waiver from the publisher, SAGE, once their Original Research Article is accepted after peer review. For all other content (Commentaries, Editorials, Demos) and Original Research Articles commissioned by the Editor, the APC will be waived. Abstract & Indexing Clarivate Analytics: Social Sciences Citation Index (SSCI) Directory of Open Access Journals (DOAJ) Google Scholar Scopus

This database is an addendum to the article "Privacy Perceptions in Digital Games: A Study with Information Technology (IT) Undergraduates" to provide information regarding the anonymously collected data. Abstract of the article This study explores the perceptions and practices of undergraduates in Information Technology (IT) regarding privacy issues in digital games. This topic becomes relevant in the current scenario where artificial intelligence (AI) is increasingly integrated into digital games, providing an enhanced experience for players. However, this integration poses security and privacy challenges, the understanding of which is crucial for both players and developers.The primary objective of this research is to comprehend the participants' perceptions and understandings of privacy in digital games. We employed a qualitative and quantitative methodology to address our research inquiries. Through an online form of data collection, we obtained 61 responses. Among the obtained information, we observed that 40\% of the students are interested in pursuing a career in game development, and 49.18% would consider this possibility. Noteworthy among the identified issues is the necessity for companies to devise more effective means of communicating their privacy policies to players/users, adapting the language to their target audience. Participants reported attacks related to online multiplayer games and expressed concerns about the security of personal data.

Project description: This two-year research project, funded by the Institute of Museum and Library Sciences (funding number: IMLS LG-252338-OLS-22), develops assessment tools to capture the undergraduate students’ academic engagement including library use, psychological factors, and their own academic success. It explores how students define success, the library’s role in their achievement, and factors correlating with GPA.The eight-week Online Journals (OWJ) was developed and tested during the Year 1 pilot phase at UIC in Spring 2023. The OWJ, conducted from March to May with SAES participants, had 64 of 77 compensated students complete all eight weeks.Required software: SPSS or ExcelDownloads: Datasets (SPSS, and Excel), codebooks Note: The datasets are currently under embargo. They are still being analyzed for additional findings for publications before being made publicly available.Data analysis: Details on how data can be analyzed, please refer to the publications:Scoulas, J. M., De Groote, S. L., Shotick, K., & Osorio, N. L. (2024). A holistic approach to understanding undergraduates: Campus engagement, library use and psychological factors. The Journal of Academic Librarianship, 50(5), 102936. https://doi.org/10.1016/j.acalib.2024.102936Scoulas, J. M., Shotick, K., De Groote, S. L., & Osorio, N. L. (2025). From grades to growth: Understanding undergraduate perceptions of academic success. The Journal of Academic Librarianship, 51(1), 102982. https://doi.org/10.1016/j.acalib.2024.102982Assessment tools (survey instruments): Refer toScoulas, Jung Mi; De Groote, Sandra; Shotick, Kimberly; Osorio, Nestor (2024). Student Success Data and Codebooks. University of Illinois at Chicago. Collection. https://doi.org/10.25417/uic.c.7241047.v2Instructional Videos: https://libscholar.digital.uic.edu/assessment-tools/recordings/Questions about dataset, please contact at assessmenttools@uic.eduFunding: IMLS LG-252338-OLS-22 (https://www.imls.gov/grants/awarded/lg-252338-ols-22

International Journal of Business and Management - ResearchHelpDesk - International Journal of Business and Management (IJBM) is an international, double-blind peer-reviewed, open-access journal published by the Canadian Center of Science and Education. The journal aims at encouraging theoretical and applied research in the field of business and management, promoting the exchange of ideas between science and practice. In addition to original theoretical and empirical work, excellent state of the art contributions will also be considered. The journal focuses on the topics: Corporate Governance; Human Resource Management; Marketing & Strategic Management; Financial Management; Information Technology Management; Production & Operations Management. It provides an academic platform for professionals and researchers to contribute innovative work in the field. IJBM carries original and full-length articles that reflect the latest research and developments in both theoretical and practical aspects of business and management. Abstract & indexing Academic Journals Database COPAC EBSCOhost Electronic Journals Library Elektronische Zeitschriftenbibliothek (EZB) Excellence in Research for Australia (ERA) Genamics JournalSeek GETIT@YALE (Yale University Library) Google Scholar IBZ Online Infotrieve JournalTOCs Library and Archives Canada LOCKSS MIAR National Library of Australia NewJour Open J-Gate PKP Open Archives Harvester Publons ROAD SHERPA/RoMEO Standard Periodical Directory UCR Library Ulrich's Universe Digital Library WorldCat ZBW-German National Library of Economics

This is the list of publications examined in our paper entitled "Visuality in a Cross-disciplinary Battleground: Analysis of Inscriptions in Digital Humanities Journal Publications." The list contains 252 journal publications randomly selected from a list of digital humanities journals indexed in the Crossref database. More details of this dataset can be found: https://arxiv.org/abs/2103.15934.

This is a CSV file containing a listing of the top 60 articles published in the Journal of Digital Scholarship in the Humanities (JDSH, preciously LLC), as exported from the Altmetric Explorer tool on11 April 2017.

The sheet has been manually annotated adding columns to indicate each article entry's corresponding License (column E) and Access Type (column F). License and Access Type data was crosschecked manually by accessing each article online individually.

The file also contains data obtained from the Open Access Button API. The article DOIs as obtained from the Altmetric Explorer were run through the Open Access Button API on 15 May 2017 in order to discover if any of the published articles had open versions available. Any resulting links when available, were added to column O. Columns O and P also include additional information, when available, about the type of content available via the Open Access Button.

Joe McArthur from the Open Access Button ran the first initial search for open surrogates of this dataset through the Open Access Button API. Ernesto Priego then manually crosschecked each entry and limited the final dataset to the top 60 articles (of 82).

Please note that the Altmetric data for the JDSH is likely to have changed by now, though not too significantly. Altmetric scores have not been included in this file but the order of the entries correspond to the order in the data initially exported from the Altmetric Explorer (from most mentions to fiewer mentions, with a minimum of 1 mention).

This dataset is part of the author and collaborator's ongoing research on open access and institutional repository uptake in the digital humanities.

The data included in this file allows users to quickly quantify the number of JDSH articles published with open licenses, number of currently 'free', paywalled or open access articles. The data shared here also allows users to see which of the articles and/or their metadata (according to the Open Access Button API) have been deposited in institutional repositories.

The data presented is the result of the specific methods employed to obtain the data. In this sense this data represents as much a testing of the technologies employed as of the actual articles' licensing and open availability. This means that data in columns L-P reflect the data available through the Open Access Button API at the moment of collection. It is perfectly possible that 'open surrogates' of the articles listed are available elsewhere through other methods.

As indicated above data in columns E-F was obtained and added manually. Article DOI's were accessed manually from a computer browser outside/without access to university library networks, as the intention was to verify if any of the articles were available to the general public without university library network/subscription credentials.

This deposit is part of a work in progress and is shared openly to document ongoing work and to encourage further discussion and analyses.

Dataset of African Journals Online publications and journals (last update: February 2024). The dataset contains metadata for articles and journals indexed in African Journals Online (AJOL). It provides the information contained in AJOL in a structured format that can be downloaded and used easily. It also contains a unique identifier matching AJOL articles with their OpenAlex records in order to facilitate the use, comparison, and combination of both data sources.

Details about the download, methods, and findings are reported in the following preprint:

Alonso-Álvarez, P. (2025). A small step towards the epistemic decentralization of science: a dataset of journals and publications indexed in African Journals Online. Zenodo. 10.5281/zenodo.14900054

Detailed information on the database construction process is reported in the following file:

ajol_database_report.pdf

Data files:

ajol_journals.csv: contains metadata from journals, including title, eISSN, ISSN print, country, JPPS category, and open access status (binary for diamond journals).

ajol_journals_area.csv: related journals to their AJOL research area categories. Journals can belong up to three categories.

ajol_pub.csv: contains articles’ metadata, including journal identifiers, article URL, doi, issue, volume, date, year, title, first page, and last page.

ajol_pub_author.csv: relates articles to their authors.

ajol_pub_keyword.csv: includes article keywords.

ajol_pub_openalex.csv: relates AJOL articles to their OpenAlex records using the unique identifiers of each data source.

readme.csv: contains the description of the variables in all data files.

ajol_database_report.pdf: detailed information on the database construction process.

Objective: Routinely collected health data, collected for administrative and clinical purposes, without specific a priori research questions, are increasingly used for observational, comparative effectiveness, health services research, and clinical trials. The rapid evolution and availability of routinely collected data for research has brought to light specific issues not addressed by existing reporting guidelines. The aim of the present project was to determine the priorities of stakeholders in order to guide the development of the REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement. Methods: Two modified electronic Delphi surveys were sent to stakeholders. The first determined themes deemed important to include in the RECORD statement, and was analyzed using qualitative methods. The second determined quantitative prioritization of the themes based on categorization of manuscript headings. The surveys were followed by a meeting of RECO...

International Journal of Business and Management Impact Factor 2025-2026 - ResearchHelpDesk - International Journal of Business and Management (IJBM) is an international, double-blind peer-reviewed, open-access journal published by the Canadian Center of Science and Education. The journal aims at encouraging theoretical and applied research in the field of business and management, promoting the exchange of ideas between science and practice. In addition to original theoretical and empirical work, excellent state of the art contributions will also be considered. The journal focuses on the topics: Corporate Governance; Human Resource Management; Marketing & Strategic Management; Financial Management; Information Technology Management; Production & Operations Management. It provides an academic platform for professionals and researchers to contribute innovative work in the field. IJBM carries original and full-length articles that reflect the latest research and developments in both theoretical and practical aspects of business and management. Abstract & indexing Academic Journals Database COPAC EBSCOhost Electronic Journals Library Elektronische Zeitschriftenbibliothek (EZB) Excellence in Research for Australia (ERA) Genamics JournalSeek GETIT@YALE (Yale University Library) Google Scholar IBZ Online Infotrieve JournalTOCs Library and Archives Canada LOCKSS MIAR National Library of Australia NewJour Open J-Gate PKP Open Archives Harvester Publons ROAD SHERPA/RoMEO Standard Periodical Directory UCR Library Ulrich's Universe Digital Library WorldCat ZBW-German National Library of Economics

This document contains the datasets created in the thesis "Twenty years of research in Digital Humanities: a topic modeling study". The methodological approach of the work is based on two datasets built by web scraping DH journals’ official web pages and API requests to popular academic databases (Crossref, Datacite). The datasets constitute a corpus of DH research and include research papers abstracts and abstract papers from DH journals and international DH conferences published between 2000 and 2020. Probabilistic topic modeling with latent Dirichlet allocation is then performed on both datasets to identify relevant research subfields.

Data

Folder "data/" contains four folders which relate to two datasets:

1. The first dataset, which will be referred to as the journals dataset, contains original research papers published in journals exclusively devoted to digital humanities scholarshipis [1] and is composed of 2,464 articles from 26 journals.
2. The second dataset, the conference dataset, contains abstract papers available in ADHO conference archives and is composed of 2,160 articles from 15 years of ADHO conferences and 4 conferences promoted by journals

Both datasets are provided with: URL (if available); identifier and related scheme (if available); abstract or abstract paper; title; authors’ given name, family name; author’s affiliation name, found within the document metadata or text; normalized affiliation name, country of the affiliation, identifiers of the affiliation provided by the Research Organization Registry Community (ROR, https://ror.org); publisher (if available); publishing date (complete date when provided or only the year); keywords (if available); journal title; volume and issue (if available); electronic and/or print ISSN (if available).

The two folders "data/no_abstracts..." are licensed under a Creative Commons public domain dedication (CC0), while the others keep their original license (the one provided by their publisher) because they contain full abstracts of the papers. These latter datasets are provided in order to favor the reproducibility of the results obtained in our work.

Topic modeling

"topic_modeling/" directory contains input and output data used within MITAO, a tool for mashing up automatic text analysis tools, and creating a completely customizable visual workflow [2]. The topic modeling results are divided in two folders, one for each of the datasets.

Note: It's necessary to unzip the file to get access to all the files and directories listed below.

References

1. Spinaci, G., Colavizza, G., Peroni, S., Preliminary Results on Mapping Digital Humanities Research, in: Atti del IX Convegno Annuale AIUCD. La svolta inevitabile: sfide e prospettive per l'Informatica Umanistica, Milan, Università Cattolica del Sacro Cuore, 2020, pp. 246 - 252 (atti di: IX Convegno Annuale AIUCD. La svolta inevitabile: sfide e prospettive per l'Informatica Umanistica, Milano, Italy, 15-17 gennaio 2020)
2. Ferri, P., Heibi, I., Pareschi, L., & Peroni, S. (2020). MITAO: A User Friendly and Modular Software for Topic Modelling [JD]. PuntOorg International Journal, 5(2), 135–149. https://doi.org/10.19245/25.05.pij.5.2.3

This dataset underpins research undertaken by the Data Publishing team at Springer Nature which analysed the impact of Data Availability Statements on Nature journal editors, and how researchers choose to share their data.Mandatory Data Availability Statements were introduced by Nature journals in 2016 which require researchers to state how their data can be accessed.The dataset comprises of a single Excel file, which include the journal title, unique ID for each published article, subject areas, and the estimated time required to include a Data Availability Statement as reported by the journals' editorial staff. The median time per journal is also calculated.The full text of the Data Availability statement is included, and the statements are coded according to the data sharing method described.This dataset supports a paper that has been peer reviewed and accepted for presentation at the International Digital Curation Conference 2018. The paper has been submitted to the International Journal of Digital Curation. At the time of dataset release the full paper is available as a preprint in BioRxiv.

This report is written evidence compiled by the National Data Guardian (NDG) and submitted to the UK Parliament’s Science and Technology Committee in February 2022 for consideration as part of its inquiry: The right to privacy: digital data. This evidence was also published by the committee on its website.

This response does not address all areas set out for exploration in the inquiry, only those that fall under the NDG’s remit. This inquiry asked about sharing data across a wide range of different organisations such as ‘government departments, other public bodies, research institutions and commercial organisations’. Other questions asked about sharing within discrete contexts such as ‘health and care contexts’. Given the NDG’s remit, this response only addresses the sharing of health and adult social care information.

Graphs and data for ten journals sharing data in the Dryad digital repository.

This dataset is for the paper that systematically reviewed the literature on factors that contribute to the successful development and use of the mobile digital library (DL). Selected journal articles on mobile DLs’ successful development and use were reviewed. The paper argues that the concept of DLs is evolving because of the dynamic nature of knowledge and technological developments in the infosphere. A systematic literature search of journal article factors that contribute to the successful development and use of the mobile DL was accomplished by searching the following databases: Emerald Insight, Science Directory and Google Scholar. The systematic review was conducted following the preferred reporting items for systematic reviews and meta-analyses guidelines. The study applied Rogers’s (1965) Diffusion of innovation theory to unpack the attributes of innovation to unpack contextual factors shaping African conceptions of mobile libraries (m-libraries). The studies reviewed were published from 2016 to 2021. This paper is based on a systematic literature review. Therefore, the paper used publicly available literature on the theme of DLs concerning m-libraries. Among the search terms used for the study were: “digital libraries”, “Africa and digital libraries”, “electronic libraries”, “information communication technologies”, “access to information” and “mobile digital libraries”. Reviewed literature indicates that myriad factors can contribute positively or negatively to the successful development and use of the mobile DL. These factors include the degree of staff awareness and understanding of the potential of mobile technologies in enhancing the provision of library services, the availability of relevant digital content, the library staff and users’ level of digital and information literacy competencies to navigate digital platforms, user friendliness of DL platforms, material and financial support to access m-libraries, power supply and access to internet connectivity. The results from this study generated knowledge and insight into the factors that affect the development and optimal use of mobile DLs to enhance and widen access to scholarly databases irrespective of time and space. The study made recommendations that will enable South African policymakers to make informed decisions relating to the factors affecting the development and usage of mobile DLs for enhanced learning, teaching and education. Given the growing number of scholarly publications on mobile DLs, this study seeks to discover how such technologies can help enhance learning, teaching and research in higher education. This study’s findings will provide a scientific basis for policymakers and researchers with evidence-based knowledge that raises the value of mobile DLs. It was discovered that if the identified factors are handled well, users can easily access tools, such as databases, electronic journals and online reference tools, and this could improve the quality of teaching and learning.

International Journal of Scientific and Technology Research Impact Factor 2025-2026 - ResearchHelpDesk - IJSTR - International Journal of Scientific & Technology Research is an open access international journal from diverse fields in sciences, engineering, and technologies Open Access that emphasizes new research, development, and applications. Papers reporting original research or extended versions of already published conference/journal papers are all welcomed. Papers for publication are selected through peer review to ensure originality, relevance, and readability. IJSTR ensures a wide indexing policy to make published papers highly visible to the scientific community. IJSTR is part of the eco-friendly community and favors e-publication mode for being an online 'GREEN journal'. IJSTR is an international peer-reviewed, electronic, online journal published monthly. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching, and research in the fields of engineering, science, and technology. Original theoretical work and application-based studies, which contribute to a better understanding of engineering, science, and technological challenges, are encouraged. IJSTR Publication Charges IJSTR covers the costs partially through article processing fees. IJSTR expenses are split among peer review administration and management, production of articles in PDF format, editorial costs, electronic composition and production, journal information system, manuscript management system, electronic archiving, overhead expenses, and administrative costs. Moreover, we are providing research paper publishing in minimum available costing such as there are no charges for rejected articles, no submission charges, and no surcharges based on the figures or supplementary data. IJSTR Publication Indexing IJSTR ​​​​​submit all published papers to indexing partners. Indexing totally depends on the content, indexing partner guidelines, and their indexing procedures. This is the reason sometimes indexing happens immediately and sometimes it takes time. Publication with IJSTR does not guarantee that paper will surely be added indexing partner website. The whole process for including any article (s) in the Scopus database is done by the Scopus team only. Journal or Publication House doesn't have any involvement in the decision whether to accept or reject a paper for the Scopus database and cannot influence the processing time of paper. International Journal of Scientific & Technology Research RG Journal Impact: 0.31 * *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 2018 / 2019 0.31 2017 0.34 2016 0.33 2015 0.36 2014 0.19 Is Ijstr Scopus indexed? Yes IJSTR - International Journal of Scientific & Technology Research Journal is Scopus indexed. please visit for more details - IJSTR Scoups

Dataset available as supplementary material from article "Editorial quality and quantitative indicators in Peruvian electronic journals" that analyzes 121 Peruvian scholarly journals published in electronic format and from five journal selection resources: SciELO Peru, Latindex, Dialnet, DOAJ and REDIB.