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.
12
datasets available to search
ShareScore release 0.9.0
Dataset results
12 results for “Digital Divide”
Beyond the Digital Divide: Sharing Research Data across Developing and Developed Countries
<p>The primary data collection element of this project related to observational based fieldwork at four universities in Kenya and South Africa undertaken by Louise Bezuidenhout (hereafter ‘LB’) as the award researcher. The award team selected fieldsites through a series of strategic decisions. First, it was decided that all fieldsites would be in Africa, as this continent is largely missing from discussions about Open Science. Second, two countries were selected – one in southern (South Africa) and one in eastern Africa (Kenya) – based on the existence of the robust national research programs in these countries compared to elsewhere on the continent. As country background, Kenya has 22 public universities, many of whom conduct research. It also has a robust history of international research collaboration – a prime example being the long-standing KEMRI-Wellcome Trust partnership. While the government encourages research, financial support for it remains limited and the focus of national universities is primarily on undergraduate teaching. South Africa has 25 public universities, all of whom conduct research. As a country, South Africa has a long history of academic research, one which continues to be actively supported by the government. </p> <p>Third, in order to speak to conditions of research in Africa, we sought examples of vibrant, “homegrown” research. While some of the researchers at the sites visited collaborated with others in Europe and North America, by design none of the fieldsites were formally affiliated to large internationally funded research consortia or networks. Fourth, within these two countries four departments or research groups in academic institutions were selected for inclusion based on their common discipline (chemistry/biochemistry) and research interests (medicinal chemistry). These decisions were to ensure that the differences in data sharing practices and perceptions between disciplines noted in previous studies would be minimized. </p> <p>Within Kenya, site 1 (KY1) and Site 2 (KY2) were both chemistry departments of well-established universities. Both departments had over 15 full time faculty members, however faculty to student ratios were high and the teaching loads considerable. KY1 had a large number of MSc and PhD candidates, the majority of whom were full-time and a number of whom had financial assistance. In contrast, KY2 had a very high number of MSc students, the majority of whom were self-funded and part-time (and thus conducted their laboratory work during holidays). In both departments space in laboratories was at a premium and students shared space and equipment. Neither department had any postdoctoral researchers. </p> <p>Within South Africa, site 1 (SA1) was a research group within the large chemistry department of a well-established and comparatively well-resourced university with a tradition of research. Site 2 (SA2) was the chemistry/biochemistry department of a university that had previously been designated a university for marginalized population groups under the Apartheid system. Both sites were the recipients of numerous national and international grants. SA2 had one postdoctoral researcher at the time, while SA1 had none.</p> <p>Empirical data was gathered using a combination of qualitative methods including embedded laboratory observations and semi-structured interviews. Each site visit took between three and six weeks, during which time LB participated in departmental activities, interviewed faculty and postgraduate students, and observed social and physical working environments in the departments and laboratories. Data collection was undertaken over a period of five months between November 2014 and March 2015, with 56 semi-structured interviews in total conducted with faculty and graduate students. Follow-on visits to each site were made in late 2015 by LB and Brian Rappert to solicit feedback on our analysis. </p>
INCOME DISPARITIES AMONG MICRO AND SMALL ENTERPRISES: THE DIGITAL DIVIDE IN INDONESIA
<p>Data related to small scale enterprise in relations to the digital aspects by prinvince in Indonesia source from Badan Pusat Statistik, Republic of Indonesia</p> <p>Data was collected and processed as part of the ODDEA (Overcoming Digital Divide Between Europe and Southeast Asia) EU research project (Project ID: HORIZON MSCA-SE 101086381) </p>
Figure 2. LL2 sub-band is divided into sub-block-Discrete Wavelet Transform Method: A New Optimized Robust Digital Image Watermarking Scheme
<p>In the following experiments, two gray-level images with size of 512 by 512, “Baby” and<br> “Hookah” are the test images. The binary image “IAU” with size of 32 by 32 is used in our<br> simulations as a watermark. Figure 3 shows the watermark. In the experiments Haar wavelet filter<br> was used for discrete wavelet transform. The level of wavelet decomposition (n) and the number of<br> sub-blocks (K) were also assumed to be 2 and 16 respectively.<br> The proposed watermarking algorithm is evaluated from the point view of embedded<br> watermark transparency and robustness; the result of each is shown in next two sections.</p>
Digital Skills and Training Needs of 50+. A Study Beyond the Digital Divide
<p>Anonymized raw data set of a representative study on digital skills and training needs of people 50+ in Switzerland. The telephone interviews were conducted by the market research institute DemoSCOPE in July 2021.</p>
The impact of market integration on the digital divide: An analysis based on the heterogeneous effect of innovation resource synergy
<p>Resource market reforms have provided opportunities for reducing the digital divide (DD). In this study, we analyzed the theoretical mechanism of the impact of market integration (MI) on DD and the intermediary role of innovation resource (IR) synergy. Data from 271 cities in China were collected, and the DEA–Malmquist index and Thiel index were utilized to quantify DD among these cities during 2011–2019. The intermediary effect and SDM models were adopted for an empirical analysis. The results showed that (1) MI had a negative effect on DD in addition to significant spatial spillover effects. MI widened DD in the local city but narrowed the same in the adjacent cities. (2) IR synergy exerted positive intermediary effects, which were heterogeneous. Through human resource synergy, MI narrowed DD, through knowledge synergy, MI widened DD, and through the R&D capital synergy, MI did not significantly influence DD. (3) There was no significant spatial spillover effect of the intermediary role of IR synergy.</p>
The effects of e-government evaluation, trust and the digital divide in the levels of e-government use in European countries
<p>Despite the significant amounts of public investment devoted to enhancing e-government over the last ten years, citizens’ use of this service is still limited, posing a challenge to national governments. Using a regression analysis applied to panel data derived from 27 European countries for the period from 2010 to 2018, our work confirms that supply-side e-government performance evaluations, the level of citizen trust in the government, income per capita and education are determinants of the level of citizens’ use of e-government. Furthermore, the results of the cluster analysis suggest that, over the study period, in the group of countries with highest e-government use rates, the variables under study exhibit more favourable relative values.</p>
Bridging the analog divide: A comparison of printed X-ray films and digital images when using computer-aided detection software for tuberculosis screening
Open the record for dataset details and reuse information.
Using routinely available electronic health record data elements to develop and validate a digital divide risk score
Open the record for dataset details and reuse information.
The impact of market integration on the digital divide: An analysis based on the heterogeneous effect of innovation resource synergy
Open the record for dataset details and reuse information.
Data from: Digital Divide: Addressing Internet Skills. Educational implications in the validation of a scale.
<p>Dataset associated with the paper "Digital Divide: Addressing Internet Skills. Educational implications in the validation of a scale.", dealing with the Italian validation of the Internet Skills Scale (ISS).</p>
Overcoming Digital Divide Between Europe and Southeast Asia, EU Project, References Dataset Part1
<p>This reference list contains publications and data sets concerning the state of digitalization and digital divide in Europe and Southeast Asia including factors affecting it. Research was carried out</p><p>The creation of this list is the result of a review of literature and databases as part of the implementation by the Krakow University of Economics of tasks resulting from Task Package no. 1 included in the ODDEA project</p><p>In the "ODDEA" project some Work Packages were prepared. In Work Package no 1, which is called "<i>The state-of-the-art analysis of the underlying factors of the digital divide within the EU and within the Southeast Asia</i>", the main objective was defined as: "To provide an overview of the literature and existing indicators on the state of digitalization and digital divide in Europe and Southeast Asia including factors affecting it". </p><p>This task is based on the literature review and on the qualitative analysis of recently published indicators (e.g., EIBIS, 2021, CIS of Eurostat, World Bank enterprise dataset) and other relevant country based surveys. This analysis will enable to identify possible economic, social, political, and technological factors that may explain the digital divide in the EU and in the Southeast Asia and formulate relevant hypotheses for individual EU countries, groups/clusters, the European Union as a whole and the Southeast Asia and project countries in that region. A deeper analysis of these clusters will also help to identify any idiosyncratic features that these countries share regarding the use of digital technologies, which will be used in the empirical study implemented within subsequent WPs. </p><p>Adopting the assumptions and objective presented in WP1, appropriate identification was made in the scope of the Literature Review in the relation to the Polish economy as a member of the European Union (EU). </p><p>Because two partners in ODDEA were from Poland – it means AGH University and Krakow University of Economics, the division of the collected bibliography into specific databases between these research centres was developed. The Krakow University of Economics was responsible for finding relevant literature from the following databases:</p><ol><li>Statistics Poland</li><li>EBSCOhost (Polish language only)</li><li>INFONA </li><li>Legalis (CH Beck) </li><li>Lex Informator prawno-gospodarczy (Legal and economic guide)</li><li>ORBIS </li><li>SWAiD Platforma Analityczna (Analitical Platform of Statistics Poland)</li></ol><p>The preparation of the ODDEA domestic literature database (in this example for Poland) is an important component of the implementation of the objective under WP1 of this project.</p><p> </p>
Is There a Digital Divide in Chronic Kidney Disease (CKD)?
ClinicalTrials.gov study NCT03067779. IPD Sharing: NO. Countries: 1. Publications: 0.
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.