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452 results for “literacy”

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zenodo56/100

Daten der Data Literacy Bedarfserhebung für die historisch arbeitenden Disziplinen (Erhebungszeitraum: August-Oktober 2023)

<p>Bei dieser Publikation handelt es sich um Daten aus der NFDI4Memory Data Literacy Bedarfserhebung, die von August bis Oktober 2023 durchgef&uuml;hrt wurde. Der Datensatz beinhaltet die Rohdaten, wie sie aus dem Fragebogentool SoSciSurvey heruntergeladen wurden und die aufbereiteten Daten, die die Grundlage f&uuml;r die Auswertung waren.</p> <p><strong>Rohdaten aus SoSciSurvey:</strong></p> <p>.xlsx-Format:&nbsp;</p> <ul> <li><a href="../api/records/12166939/draft/files/codebook_4memory-data-literacy_2024-06-19_11-28.xlsx/content" target="_blank" rel="noopener noreferrer">codebook_4memory-data-literacy_2024-06-19_11-28.xlsx</a></li> <li><a href="../api/records/12166939/draft/files/data_4memory-data-literacy_2024-06-19_11-28.xlsx/content" target="_blank" rel="noopener noreferrer">data_4memory-data-literacy_2024-06-19_11-28.xlsx</a></li> </ul> <p>.csv-Format:</p> <ul> <li><a href="../api/records/12166939/draft/files/data_4memory-data-literacy_2024-06-19_11-30.csv/content" target="_blank" rel="noopener noreferrer">data_4memory-data-literacy_2024-06-19_11-30.csv</a></li> <li><a href="../api/records/12166939/draft/files/variables_4memory-data-literacy_2024-06-19_11-30.csv/content" target="_blank" rel="noopener noreferrer">variables_4memory-data-literacy_2024-06-19_11-30.csv</a></li> <li><a href="../api/records/12166939/draft/files/rdata_4memory-data-literacy_2024-06-19_11-33.csv/content" target="_blank" rel="noopener">rdata_4memory-data-literacy_2024-06-19_11-33.csv</a></li> <li><a href="../api/records/12166939/draft/files/sdata_4memory-data-literacy_2024-06-19_11-32.csv/content" target="_blank" rel="noopener">sdata_4memory-data-literacy_2024-06-19_11-32.csv</a></li> <li><a href="../api/records/12166939/draft/files/values_4memory-data-literacy_2024-06-19_11-30.csv/content" target="_blank" rel="noopener noreferrer">values_4memory-data-literacy_2024-06-19_11-30.csv</a></li> <li><a href="../api/records/12166939/draft/files/Codebuch.csv/content" target="_blank" rel="noopener noreferrer">Codebuch.csv</a></li> <li><a href="../api/records/12166939/draft/files/Ausgangsdatensatz.csv/content" target="_blank" rel="noopener noreferrer">Ausgangsdatensatz.csv</a></li> </ul> <p>.sql-Format:</p> <ul> <li><a href="../api/records/12166939/draft/files/data_4memory-data-literacy_2024-06-19_11-33.sql/content" target="_blank" rel="noopener noreferrer">data_4memory-data-literacy_2024-06-19_11-33.sql</a></li> </ul> <p>.sps-Fromat:</p> <ul> <li><span><a href="../api/records/12200702/draft/files/spss_4memory-data-literacy_2024-06-19_11-31.sps/content" target="_blank" rel="noopener noreferrer">spss_4memory-data-literacy_2024-06-19_11-31.sps</a></span></li> </ul> <p><span>.do-Format:</span></p> <div> <ul> <li><a href="../api/records/12200702/draft/files/import_4memory-data-literacy_2024-06-19_11-32.do/content" target="_blank" rel="noopener noreferrer">import_4memory-data-literacy_2024-06-19_11-32.do</a></li> </ul> <p>.r-Format:</p> <div> <ul> <li><a href="../api/records/12200702/draft/files/import_4memory-data-literacy_2024-06-19_11-33.r/content" target="_blank" rel="noopener noreferrer">import_4memory-data-literacy_2024-06-19_11-33.r</a></li> </ul> </div> </div> <p><strong>Aufbereitete Daten:</strong></p> <p>.xlsx-Format:</p> <ul> <li><span><a href="../api/records/12200702/draft/files/2024-06-06-aufbereitete_Daten.xlsx/content" target="_blank" rel="noopener noreferrer">2024-06-06-aufbereitete_Daten.xlsx</a></span> (enthalten sind die Tabellenbl&auml;tter Ausgangsdatensatz (unbearbeitet), Codebuch (unbearbeitet), &uuml;berarbeiteter Datensatz und Zusatztabelle Fachbereich</li> </ul> <p>.csv-Format:</p> <ul> <li> <div><a href="../api/records/12166939/draft/files/Dokumentation.csv/content" target="_blank" rel="noopener noreferrer">Dokumentation.csv</a></div> </li> <li><a href="../api/records/12166939/draft/files/Zusatztabelle_Fachbereich.csv/content" target="_blank" rel="noopener noreferrer">Zusatztabelle_Fachbereich.csv</a></li> <li><span><a href="../api/records/12200702/draft/files/%C3%BCberarbeiteter%20Datensatz.csv/content" target="_blank" rel="noopener noreferrer">&uuml;berarbeiteter Datensatz.csv</a></span></li> </ul>

opencc-by-4.0Jun 2024View details →
zenodo48/100

Behavioral and fMRI Data: Nurturing the reading brain: Home literacy practices are associated with children's neural response to printed words through vocabulary skills

<p>This is the behavioral and fMRI dataset described in &quot;Nurturing the reading brain: &nbsp;Home literacy practices are associated with children&rsquo;s neural response to printed words through vocabulary skills&quot;.&nbsp;</p> <p>Because of anonymization concerns within&nbsp;the framework of EU privacy regulations (<a href="https://gdpr-info.eu">GDPR</a>), we cannot provide raw MRI data. Therefore, the fMRI data consists of individual&nbsp;pre-processed volumes, normalized into the MNI&nbsp;template (see paper for details about the preprocessing pipeline). Anonymized behavioral data and first level analyses are also provided for each participant (SPM.mat file as well as beta, con, spmT, RPV and ResMS&nbsp;files). Note that the dataset&nbsp;also include runs and GLM results for a third task (Dots) that was not analyzed in the paper. Finally, the <a href="https://www.psychopy.org">PsychoPy</a> implementation of the tasks is also provided. If you have any questions, please send an email to jerome.prado [at] univ-lyon1.fr.&nbsp;</p> <p><strong>IMPORTANT:</strong></p> <p>In accordance with EU privacy regulations, we ask that you sign and return a Data Use Agreement (DUA) before downloading the data. You can download the DUA&nbsp;<a href="https://zenodo.org/record/4965716/files/DUA.pdf?download=1">here</a>. Please, sign it and send it to jerome.prado [at] univ-lyon1.fr.</p>

opencc-by-4.0Jul 2021View details →
zenodo44/100

Survey data on financial literacy, financial inclusion, informal financial business practices, and intentions towards formalization of female small vendors in Lima, Peru

<p><span>This dataset encapsulates a comprehensive survey aimed at understanding informal business practices and financial literacy among small business vendors in Peru. The dataset comprises three key components: the survey questionnaire, raw survey data, and a detailed codebook. Researchers interested in the dynamics of financial practices in emerging markets may find this dataset particularly valuable, as it allows for the exploration of factors influencing financial decisions in small enterprises, with potential modifications suggested for adapting the survey to different national or cultural contexts. This dataset not only contributes to empirical research in financial behavior but also supports gender-specific studies by allowing the variable 'sex' to be adapted to 'gender' with multiple response options. </span></p> <p><span>The data and supplementary material is divided in tree files:</span></p> <p><span>The survey, presented in "Survey IFE.docx," includes questions across various domains such as informal business practices, financial literacy, financial inclusion, intentions towards financial formalization, and the formality of business ventures, along with demographic variables like age, sex, business age, and number of employees. </span></p> <p><span>The raw data, stored in "Dataset.csv," records responses from 118 participants, mapped against 31 indicators. </span></p> <p><span>The "Codebook.doc" provides exhaustive details about the survey variables, coding of responses, and the methodology employed, facilitating the replication of the study and application of the dataset in varied research contexts.</span></p>

opencc-by-4.0Apr 2024View details →
zenodo44/100

Literacy scales

<p>This is a measure of literacy needs by occupations. It measure literacy according to the deffinition made by the OECD (2010). In that sense, it includes linguistic skills (reading, writting and speaking) but also numeracy and ICT skills. More in detail, 32 Likert-type questions from the Survey of Adult Skill were used. (8 questions about the frequency of use of reading at work , 4 questions about writing , 7 questions about speech which are titled influence and it is considered a general skill, 6 questions about numeracy and 7 questions about the use of ICT). The measures quantify the intensity of use for each of the five kinds of skills literacy linguistic skill in an occupation based on quantile distributions. A global indicator of literacy is also provided as a simple average of the other 5 skills.</p>

opencc-by-4.0May 2021View details →
zenodo44/100

Unpacking the concept of "educators' data literacy in Higher Education" - Systematic Review of the literature and Keyword Map

<p>As algorithmic decision-making and data collection become pervasive within higher education, how can educators make sense of the systems that shape life and learning in the 21st century? Through a systematic review of the literature, the paper investigates the gaps in the literature, which prevent the formulation of potential pathways and principles on which educators&rsquo; data literacy can - and should - be developed and fostered. The analysis of 137 papers through the methods of classification under relevant categories, and key words mapping, showed that there is little attention on HE teachers, and most approaches to educators&rsquo; data literacy address management and technical abilities for data processing, with less concern on critical, ethical and personal approaches to datafication in education.</p> <p>The present dataset shows the full list of articles analysed.</p> <p>The dataset, and ods file, is composed by the following sheets:</p> <ol> <li>Codebook</li> <li>List of articles extracted from SCOPUS</li> <li>List of articles extracted from WOS</li> <li>List of articles extracted from ERIC</li> <li>List of articles extracted from DOAJ</li> <li>Interrater Agreement</li> <li>PRISMA workflow</li> <li>Analysis - First Level (classification of 137 articles selected)</li> <li>Analysis - Second Level (List of articles relating faculty development)</li> <li>Supplementary tables (counting articles in relation to the categories of analysis).</li> </ol> <p>As for the Keywords&#39; Map, a second file .csv displays the&nbsp;text&nbsp; over which basis was performed the keyword maps analysis. A .txt file shows notes relating the analysis procedures using the software VOS-Viewer&nbsp;<a href="http://www.vosviewer.com/">http://www.vosviewer.com/</a></p> <p>&nbsp;</p>

opencc-by-4.0Jun 2019View details →
zenodo44/100

Research generated data supporting the article manuscript "Setting Grounds for Data Literacy in the Sector of Agriculture: Learning About and with Open Data"

<p>In the research 345 MS courses and 216 MS courses data from the ECTS catalogue (2019) of University of Zagreb Faculty of Agriculture were mapped onto the data literacy competence areas (theme) and DL competence areas sub-themes adapted ODI Data Skills Framework (2020) expanding the term &ldquo;skill&rdquo; to &ldquo;competence&rdquo; to include knowledge and attitudes.&nbsp;Teaching staff was interviewed in semi-structured interviews on the data literacy competences covered in their courses and open data use and teaching in their courses as well as their perceived importance for the sector of the course.</p> <p>The upload consists of the following&nbsp;.csv files:</p> <table> <tbody> <tr> <td>readme_DL_OD_Salamonetal.csv</td> </tr> <tr> <td>01DL_OD_Salamonetal.csv</td> </tr> <tr> <td>02DL_OD_Salamonetal.csv</td> </tr> <tr> <td>03DL_OD_Salamonetal.csv</td> </tr> <tr> <td>04DL_OD_Salamonetal.csv</td> </tr> <tr> <td>05DL_OD_Salamonetal.csv</td> </tr> <tr> <td>06DL_OD_Salamonetal.csv</td> </tr> <tr> <td>07DL_OD_Salamonetal.csv</td> </tr> </tbody> </table> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2023View details →
zenodo44/100

Icons illustrating aspects of data organization from the Data Literacy Initiative (DaLI) at TH Köln

<p>Icons created as part of the research project Data Literacy Initiative (DaLI) at TH K&ouml;ln - University of Applied Sciences in Cologne, Germany. They illustrate aspects of best practices for data organization as recommended in Karl W. Broman &amp; Kara H. Woo (2018) Data Organization in Spreadsheets, The American Statistician, 72:1, 2-10, DOI: 10.1080/00031305.2017.1375989.<br> &nbsp;</p> <p>When using any of the images please include the following attribution together with the DOI: This image was created by Jule Marie Schacht and Juliane Piecha for the Data Literacy Initiative (DaLI) at TH K&ouml;ln and is used under a CC-BY license.</p> <p>The Data Literacy Initiative (DaLI) at TH K&ouml;ln develops an interdisciplinary, modular program offering data literacy training to students from all fields.</p> <p>More information on the Data Literacy Initiative (DaLI) (in German): https://www.th-koeln.de/dali</p> <p>Illustrations created by: Jule Marie Schacht</p>

opencc-by-4.0Oct 2023View details →
zenodo40/100

Searching as Information Literacy Unpacking the ACRL Frame of Searching As Strategic Exploration

<p>Searching as Information Literacy Unpacking the ACRL Frame of Searching As Strategic Exploration is an OER that includes a podcast, blog and associated exercise. Three University of Ottawa librarians are interviewed on search challenges they have encountered and their proposed search strategies as it relates to the ACRL framework: Searching as Strategic Exploration.&nbsp;Although it is possible to present an analysis of search strategies solely in writing or in traditional in-personal presentations, newer media such as podcasts allow for innovative delivery of the material in a more immediate and visceral way. That is, the audience is able to hear and receive the information directly from the experts themselves, in their own words. A podcast is also able to convey the aural nuance of a given speaker in a way that conventional scholarly approaches can&rsquo;t quite duplicate. We believe that a podcast with real librarians&rsquo; voices speaking to and guiding students about exploratory searching, using recent, real-life examples, represents a dynamic, useful, engaging and relevant educational tool for our target audience - MLIS, MIS students.&nbsp;</p> <p>&nbsp;</p> <p>Podcast can be found on Soundcloud:&nbsp;<a href="https://soundcloud.com/somesoundsbylina/searching-as-information">https://soundcloud.com/somesoundsbylina/searching-as-information</a></p> <p>Access to the blog:&nbsp;<a href="https://esisuottawa.wixsite.com/esisinfolit/post/searching-as-information-literacy-unpacking-the-acrl-frame-of-searching-as-strategic-exploration">https://esisuottawa.wixsite.com/esisinfolit/post/searching-as-information-literacy-unpacking-the-acrl-frame-of-searching-as-strategic-exploration</a>&nbsp;</p>

opencc-by-4.0Apr 2020View details →
zenodo40/100

(Open) Data literacy: Dataset for a systematic review of the literature

<p>This dataset presents data used for a systematic review of the literature.</p><p>We conducted a comprehensive literature review, in which we identified the following: a) the role of data literacy as one of several barriers to use; and b) open data-related activities that foster informal learning by assisting in the development of critical data literacy as a surrogate for citizens' continued engagement with open data. Following the screening and selection of 66 articles through the use of keyword mapping, the articles were coded and subjected to quantitative analysis. On the one hand, our findings demonstrate that inadequate data literacy hinders the utilisation of open data. Conversely, it seems that open data initiatives create pertinent prospects for fostering technical data literacy among the general public, enabling them to comprehend and engage with decision-making processes that are informed by data. However, critical data literacy as a primary catalyst for the strategic and transformative utilisation of open government data receives scant attention. In conclusion, this research has the potential to provide a foundation for interventions that promote open data literacy and lifelong learning.</p>

opencc-by-4.0Sep 2021View details →
zenodo40/100

Information literacy in the area of Library and Information Science. A bibliometric analysis in Latin America, from the Lens database (2001-2020).

<p>The results of scientific production on ALFIN (2001-2020) in the areas of Library and Information Science are shown. All BIC journals were identified from Latindex. Then it was verified whether these journals were contained in the following databases: Web of Science (Core Collection and Scielo Citation Index), Scopus, Lens and Dimensions. The Lens database was chosen for retrieving records on ALFIN and performing the bibliometric analysis, as it has the highest coverage of BIC journals in Latindex. The trend and growth of scientific production were evaluated according to authors and year of publication; the productivity of authors was analyzed using Lotka&#39;s Law and the dispersion of the literature according to Bradford&#39;s Law. The degree, index and coefficient of collaboration were determined and collaboration networks were identified according to authors. The results show that scientific production on ALFIN in Latin America, reached a peak between 2017 and 2018, presenting a decrease from 2019 onwards. It was also observed that the production, collaboration between authors and the number of journals is predominantly Brazilian.</p>

opencc-by-4.0Nov 2021View details →
zenodo40/100

Figure 1 in HighRes for journal article "Critical digital literacy as a key for (post)digital citizenship: an international review of teacher competence frameworks"

<p>Detail for the figure: Figure 1. Location and scope of the sample of TCFs analysed in this study.</p> <p>Created with mapchart.net</p> <p>In the following article: Villar-Onrubia, D., Morini, L., Mar&iacute;n, V. I., &amp; Nascimbeni, F. (2022). Critical digital literacy as a key for (post)digital citizenship: an international review of teacher competence frameworks. <em>Journal of e-Learning and Knowledge Society, 18(3)</em>, 128-139. https://doi.org/10.20368/1971-8829/1135697</p>

opencc-by-4.0Dec 2022View details →
zenodo40/100

Fig. 3 in Navigating through ocean literacy gaps: an analysis of elementary school textbooks in Croatian education Abstract

Fig. 3: Presence of ocean literacy principles (OLP) and concepts (OLC) in higher grades of the elementary school science textbooks in Croatia (grades 5-8). Results are presented as average occurrence and standard deviation of books analysed for each grade.

opencc-by-4.0Feb 2024View details →
zenodo40/100

Fig. 2 in Navigating through ocean literacy gaps: an analysis of elementary school textbooks in Croatian education Abstract

Fig. 2: Presence of ocean literacy principles (OLP) and concepts (OLC) in lower grades of the elementary school science textbooks in Croatia (grades 1-4). Results are presented as average occurrence and standard deviation of books analysed for each grade.

opencc-by-4.0Feb 2024View details →
zenodo40/100

Fig. 1 in Navigating through ocean literacy gaps: an analysis of elementary school textbooks in Croatian education Abstract

Fig. 1: Mean contribution of pages with ocean-related topics in the text (A) and illustration (B) in the Croatian elementary school textbooks. Error bars represent the standard deviation among different publishers or textbook lines.

opencc-by-4.0Feb 2024View details →
zenodo40/100

Fig. 4 in Navigating through ocean literacy gaps: an analysis of elementary school textbooks in Croatian education Abstract

Fig. 4: Best-case scenario of presence of ocean sciences topics according to OL principles and concepts in the elementary school textbooks in Croatia.

opencc-by-4.0Feb 2024View details →
zenodo40/100

Map of select traditions of Manding, Wolof, Fulani and Hausa Ajami literacy

<p>Map of select traditions of Manding, Wolof, Fulani and Hausa Ajami literacy. Includes original color and an adapted&nbsp;black and white version.</p> <p>Originally appeared in the following:</p> <p>Donaldson, Coleman. 2017. &ldquo;Clear Language: Script, Register and the N&rsquo;ko Movement of Manding-Speaking West Africa.&rdquo; Doctoral Dissertation, Philadelphia, PA: University of Pennsylvania. Philadelphia, PA.&nbsp;<a href="https://repository.upenn.edu/dissertations/AAI10681364/">https://repository.upenn.edu/dissertations/AAI10681364/</a>.</p> <p>--</p> <p>Blog: <a href="https://ajami.hypotheses.org/">https://ajami.hypotheses.org/</a><br> Project: <a href="https://www.manuscript-cultures.uni-hamburg.de/ajami/index_e.html">https://www.manuscript-cultures.uni-hamburg.de/ajami/index_e.html</a></p>

opencc-by-4.0Sep 2019View details →
zenodo40/100

Resources for "BMF CP 97: The roles of health information-seeking ability and e-health literacy in illness response capability and health checkup frequency"

<p><span>The current study is conducted to examine the following research questions:</span></p> <ul> <li><span>How are health information-seeking ability and e-health literacy associated with illness response capability?</span></li> <li><span>How are health information-seeking ability and e-health literacy associated with the frequency of health checkups?</span></li> </ul>

opencc-by-4.0Sep 2024View details →
zenodo40/100

Resources for "BMF CP 96: The roles of healthy eating information seeking ability and e-health literacy in healthy eating"

<p><span>The current study is conducted to examine the following research questions:</span></p> <ul> <li><span>How are healthy eating information-seeking ability and e-health literacy associated with healthy eating intention?</span></li> </ul>

opencc-by-4.0Sep 2024View details →
zenodo40/100

Metrics Literacies: On the State of the Art of Multimedia Scholarly Metrics Education (Video presentation)

<p>Scholarly metrics, such as h-index or impact factor, are widely applied in academic tenure and funding decisions but often inappropriately. The quantification of research impact has created a pressure to publish that harms all scholarly disciplines by creating adverse effects, such as plagiarism, gratuitous self-citation, and honorary authorship. The Metrics Literacies project led by Prof. Stefanie Haustein aims to reduce the misuse of metrics and adverse effects by improving the understanding and use of scholarly metrics in academia through the development, testing, and dissemination of multimedia resources. This poster talk shows the current state of the art on the project.</p>

opencc-by-4.0Jun 2021View details →
zenodo40/100

(open) data literacy as barrier and enabler of open government data enhancement. A systematic review of the literature.

<p>This systematic review of the literatu was conducted with the PRISMA method, to explore the contexts in which the use of open government data germinates, identifying barriers to its use and identifying, the role of data literacy among those barriers to use; and the role of open data in promoting informal learning that supports the development of critical data literacy.&nbsp;This file includes a codebook of the main characteristics that were studied in a systematic literature review, where data from 66 articles related to Open Data Usage were identified and coded. Also, the file includes an analysis of Cohen&#39;s Kappa, a concordance statistic used to measure the level of agreement among researchers in classifying articles on the characteristics defined in the Codebook. Finally, it includes main tables of the results&#39; analysis.</p>

opencc-by-4.0Aug 2021View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

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