Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
552
datasets available to search
ShareScore release 0.7.1
Dataset results
552 results for “Literature review”
Supplementary material for "Patient portal adoption rates: a systematic literature review and meta-analysis"
<p>The attached file contains the searches used to review the literature and identify papers evaluating usage, usability and influence on decision making of patient portals (Supplementary Table 1).</p> <p>Supplementary Table 2 and Supplementary Table 3 contains references and individual study characteristics of included studies.</p>
Requirement prioritization in Software Engineering: a systematic literature review update
<div> <div> <div> </div> </div> </div> <div> <div> <div> <div> <div> <div> <p>A data extraction form was developed to collect all relevant information from the identified studies and organize the selection process in this updated systematic literature review. The main information included in this form comprises the protocol, an identifier (ID) for each study, bibliographic references, and answers to the research questions.</p> </div> </div> </div> </div> </div> </div>
Multivocal Literature Review Protocol - Investigating the Barriers that Women face in Software Development Teams focusing on the context of Proprietary Software Ecosystems
Open the record for dataset details and reuse information.
ESG and Venture Capital research: A bibliometric literature review at the intersection of two fields
<p>Analysis the nascent body of literature at the intersection between the research field of 'ESG' and 'Venture Capital', using a bibliometric literature review</p>
Replication package - Potential Effectiveness and Efficiency Issues in Usability Evaluation within Digital Health: A Systematic Literature Review
<p>1. File: <strong>Maqbool_SLR_2023_JSS_Inclusion_610.xlsm.</strong></p> <p>There are two sheets in file. A. <strong>Final_Selected_papers</strong>, (sheet) aims to provide a comprehensive list of articles (n=610) selected for our SLR, whose process and data items specified and detailed in the article. </p> <p>B. <strong>Rejected_After_Full_Review</strong>, (sheet) aims to provide a comprehensive list of articles (n=153) rejected for our SLR based on inclusion or exclusion criteria after full article review process, whose process and data items specified and detailed in the article. </p> <p>2. File: <strong>Maqbool_SLR_2023_JSS_Data_Extraction_Form.pdf</strong></p> <p>This file aims to provide a comprehensive data extraction form, whose process and data items specified and detailed in the article. The form was used to elicit data relevant to answer the postulated research questions. This form served as the foundation for the additional information presented in the final paper.</p> <p>3. File: <strong>Bilal_SLR_JSS_Primary_Studies_References.pdf</strong></p> <p>This file contains the primary selected studies (n=610) for the systematic literature review. The systematic review aims to explore and analyse research literature related to usability evaluation methods and their effectiveness and efficiency in the context of digital health applications. This file will help to identity reference of the primary selected study that is cited in the paper using a prefix (S, e.g. S137). This file can be used for peer review, ensuring the reliability and correctness of findings.</p> <p>4. File: <strong>SLR_Analysis_updated_2023.nvp</strong></p> <p>The data extracted from each article was recorded in a worksheet (Excel) and then coded in NVivo 12/14 to categorise (classify) and compare extracted facets. Each data item's category and related paper id are coded in the given Excel file. Papers were not included in the NVivo project due to copyright concerns. Relevant papers can be tracked using the provided spreadsheet file (see Paper ID cell).<br>The file(s) are cleaned as much as reasonable and other raw data is removed. This file does not include the matrix tables or codes, which were produced and analysed run-time during the analysis phase. Although the given package allows for re-generation.</p> <p>-------- UPDATE: --------</p> <p>5. File: <strong>SLR_Analysis_updated_2023_for_MAC.nvpx</strong></p> <p>This is an extra copy of NVivo project, created for the MAC user.</p> <p> </p> <p>This replication package is produced and published here. Research conducted by Karlstad University researchers. We publish data sets to improve coverage and accessibility. For more info or concerns, contact us.</p> <p> </p> <p>Linked paper published at: Maqbool, Bilal, and Sebastian Herold. "Potential effectiveness and efficiency issues in usability evaluation within digital health: A systematic literature review." <em>Journal of Systems and Software</em> (2023): 111881.</p> <p>DOI: <a href="https://doi.org/10.1016/j.jss.2023.111881">https://doi.org/10.1016/j.jss.2023.111881</a><br> </p> <p>This work was funded, in parts, by Region Värmland through the DHINO project, Sweden (Grant: RUN/220266) and Vinnova through the DigitalWell Arena (DWA) project, Sweden (Grant: 2018-03025).</p>
Systematic literature review of acoustic individual identification (AIID)
<p>Citations and characteristics of manuscripts considered relevant to acoustic individual identification (AIID). To be included in the review, at minimum a paper was required to: 1) Use recorded vocalizations, regardless of the method, and 2) attempt to differentiate individuals by vocal signature as an objective or as a step towards more advanced application of acoustic IID. Detailed methods are available in the "AIIDLiteratureReviewMethods.docx".</p>
Framing the cross-border commuting literature: a systematic review and bibliographic analysis
<p>The dataset consist of the 134 publications selected for the systematic literature review on cross-border commuting. </p>
Supplementary material to "Healthcare resource use associated with tumor-induced osteomalacia: a literature review"
<p>Tumor-induced osteomalacia (TIO) is an ultra-rare, paraneoplastic syndrome caused by tumors that secrete fibroblast growth factor 23 (FGF23). Initial signs and musculoskeletal symptoms can be non-specific and unrecognized, leading to long delays in diagnosis and treatment, which results in severe and progressive disability in patients with TIO. This review aimed to identify published evidence on healthcare resource use in TIO to better understand the burden of the disease. A targeted literature review was conducted to identify publications reporting on disease characteristics and healthcare resource use associated with TIO. In total, 414 publications were included in the review, of which 376 were case reports. From the case reports, data on 621 patients were extracted. These patients had a mean (standard deviation) age of 46.3 (15.8) years; 57.6% were male. The mean time from first symptoms to diagnosis of TIO was 4.6 (4.7) years and, in cases where imaging tests were reported, patients underwent a mean of 4.1 (2.7) procedures. Tumor resection was attempted in 81.0% of patients and successful in 67.0%. The fracture was reported in 49.3% of patients. Results from association analyses demonstrated that a longer time to diagnosis was associated with poorer tumor resection outcomes and a higher probability of tumor recurrence. Unfavorable tumor resection outcomes were associated with greater use of pharmacologic treatment and a greater likelihood of orthopedic surgery. TIO is associated with a substantial healthcare resource burden. Improvements in the diagnostic process could lead to better management of TIO, thereby benefiting patients and reducing that burden.</p>
Literature review - flood model development
<p>This is a spreadsheet containing a review of common flood models and data used in studies between 1980-2023.</p> <p>"Model Physics": Collection of different simplification methods to the shallow water equation and the simulation scales (both space and time).</p> <p>"Coupled Model": Method of coupling flood models to atmospheric models, land surface models, human health models, socioeconomic models, geomorphological models, ecological models.</p> <p>"Model Data": Different direct/indirect measurements for flood model evaluation in these studies.</p> <p>"Flood Data": Curated commonly used flood evaluation data, ranging from in-situ, remote sensing, indirect ground measurements, and model simulated results.</p>
P SENSEE unfiltered literature review results
<p>These are the unfiltered results from the P SENSEE literature meta-analysis for Sanders et al (2024) used to support the proceedings submitted to EuroSensors 2024. </p>
T1.1 Systematic literature review dataset
<p>This document presents the T1.1 Systematic Literature Review Dataset, which was collected for the VERITY project, on the topic of ‘trust in science’, based on a total of <strong>83 articles which provide empirical results</strong> from various scientific disciplines (e.g., social and educational psychology, medicine, science education, science communication).<br>The methodology for the completion of the Systematic Literature Review was based on the <strong>PRISMA protocol</strong>, which provides an evidence-based minimum set of criteria for reporting in systematic reviews and meta-analyses.<br>To identify the most appropriate studies for our research questions, the eligibility of the articles to be included in the systematic literature review was determined by the <strong>following two main criteria</strong>:</p> <ol> <li>Only studies directly examining the correlation and causal relationship of various factors to the levels of public trust in science were considered.</li> <li>The factors correlated and affecting the public’s trust in science had to be investigated empirically, without any restrictions on the methodology. </li> </ol> <p>Moreover, to ensure the credibility, integrity, and feasibility of the literature review, three criteria were added: The surveys are based on participants aged at least 16 years old (research based on young children was excluded). The study is written in English. The study appears in a peer-reviewed journal as an article.</p> <p>The review began with a comprehensive search for articles in three electronic databases: <strong>Scopus, Web of Science and PsycInfo</strong>. The selection of Scopus and Web of Science was based on their widely recognized impact indices containing high-calibre scholarly literature published worldwide and across a wide range of scientific fields. PsycInfo was selected as the premier abstracting and indexing database covering the behavioural, social, and psychological sciences. The selected search strategy was based on the two core concepts of our main research question, namely, ‘trust’ and ‘science’.</p> <p>After careful consideration, the following query string was established utilizing Boolean operators (AND, OR): (trust* OR distrust* OR mistrust* ) AND ( scien* ) in TITLE</p>
Automatic User Story Generation: A Comprehensive Systematic Literature Review - Data Extraction
<p>This document presents the data extraction performed for the Systematic Literature Review in Automatic User Story Generation.</p>
Can Machine Learning Replace a Reviewer in the Selection of Studies for Systematic Literature Review Updates?
<p>Appendix of the M.Sc. dissertation "Can Machine Learning Replace a Reviewer in the Selection of Studies for Systematic Literature Review Updates".</p> <p>This appendix contains the files with the results obtained by the evaluation performed in our study. </p> <p>File used to answer RQ1:</p> <ul> <li><a href="../api/records/11019279/draft/files/RQ1-RF-predictions.csv/content" target="_blank" rel="noopener noreferrer">RQ1-RF-predictions.csv</a></li> <li><a href="../api/records/11021614/draft/files/RQ1-RQ3-best-configuration-RF.csv/content" target="_blank" rel="noopener noreferrer">RQ1-RQ3-best-configuration-RF.csv</a></li> </ul> <p>File used to answer RQ2:</p> <ul> <li><a href="../api/records/11019279/draft/files/RQ2-SVM-predictions.csv/content" target="_blank" rel="noopener noreferrer">RQ2-SVM-predictions.csv</a></li> <li><a href="../api/records/11021614/draft/files/RQ2-best-configuration-SVM.csv/content">RQ2-best-configuration-SVM.csv</a></li> </ul> <p>File used to answer RQ3:</p> <ul> <li><a href="../api/records/11019279/draft/files/RQ3-RF-normalized-predictions.csv/content" target="_blank" rel="noopener noreferrer">RQ3-RF-normalized-predictions.csv</a></li> <li><a href="../api/records/11021614/draft/files/RQ1-RQ3-best-configuration-RF.csv/content" target="_blank" rel="noopener noreferrer">RQ1-RQ3-best-configuration-RF.csv</a></li> </ul>
Literature review on the effect of conspecific density on animal dispersal (2000-2023)
<p>We review empirical studies of animal dispersal in relation to conspecific density to examine the evidence for density-dependent dispersal among taxa and test whether reports of its occurrence are taxon-specific and/or biased by the methodology employed. We conducted a thorough review of the literature (2000 - 2023) and found <em>k</em> = 97 empirical studies of amphibians, birds, fishes, invertebrates, mammals, or reptiles that had tested for a correlation between conspecific density and animal dispersal. From each, we derived the correlation coefficient of the relationship between density and dispersal, which we z-transformed to obtain the effect size, <em>Z</em><em><sub>r</sub></em><em>.</em> We also<em> </em>extracted and compiled information on taxonomic group, sex, age, migratory behavior, experimental setup, dispersal metric, density metric, and variable type, as well as temporal and spatial scale to test their relationships with <em>Z</em><em><sub>r</sub></em> using linear regressions and multilevel mixed-effect modeling.</p>
The effect of wheelchair users on the egress time of pedestrian crowds: a systematic literature review and meta-analysis
<p>This dataset provides supplementary input data for a systematic literature review and meta-analysis, examining the effects of mobility-impaired individuals, specifically wheelchair users, on pedestrian egress times. It includes the following variables:</p> <ul> <li><strong>short_trial_name</strong>: A unique identifier for each trial.</li> <li><strong>independent variables</strong>: Factors such as the number of attendees, bottleneck width, and mobility profiles (e.g., individuals with or without wheelchair usage).</li> <li><strong>left_shifted_time</strong>: Standardized start time for egress, adjusted for comparability across trials.</li> <li><strong>lower_left_no_of_people</strong>: The number of individuals who passed through the bottleneck at the standardized start time.</li> <li><strong>right_shifted_time</strong>: Standardized end time for egress.</li> <li><strong>right_left_no_of_people</strong>: The number of individuals who passed through the bottleneck by the standardized end time.</li> </ul>
Predictive Maintenance Literature Review Framework
<p>This dataset contains information collected during a literature review in the domain of Predictive Maintenance in Industry 4.0. It consists of Two Tables:</p><ol><li>Paper references and their contribution to individual topics</li><li>Types of Neural Networks that have been used in the Papers</li></ol>
Quality Evaluation Models or Frameworks for Open Source Software: A Systematic Literature Review (Matching articles with categories)
<p>This document includes which primary study falls into which category with respect to the RQs in the following study: “Quality Evaluation Models or Frameworks for Open Source Software: A Systematic Literature Review”</p>
Quality Evaluation Models or Frameworks for Open Source Software: A Systematic Literature Review (Matching articles with categories)
<p>This document includes which primary study falls into which category with respect to the RQs in the following study: “Quality Evaluation Models or Frameworks for Open Source Software: A Systematic Literature Review”</p>
Quality Evaluation Models or Frameworks for Open Source Software: A Systematic Literature Review (Matching articles with categories)
<p>This document includes which primary study falls into which category with respect to the RQs in the following study: “Quality Evaluation Models or Frameworks for Open Source Software: A Systematic Literature Review”</p>
Code repository that supports the research presented in the paper "The gender gap in higher STEM studies: a Systematic Literature Review"
<p>Resources for the Systematic Literature Review (SLR) carries out as part of PhD thesis about the gender gap in STEM studies in higher education by Sonia Verdugo-Castro and supervised by Alicia García-Holgado and Mª Cruz Sánchez Gómez.</p> <p>The SLR covers papers in WoS and Scopus from 2015 to 2021.</p> <p>All the papers retrieved and the different steps in the SLR selection process are contained and documented in:</p> <ul> <li><a href="https://docs.google.com/spreadsheets/d/1ldml-Mg-oguX9gXayllojBRtZ1kjdD4WRSqYwf1yZ0o/edit?usp=sharing">https://docs.google.com/spreadsheets/d/1ldml-Mg-oguX9gXayllojBRtZ1kjdD4WRSqYwf1yZ0o/edit?usp=sharing</a></li> </ul>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.