The datacitation extension for CKAN aims to facilitate proper data citation practices within the CKAN data catalog ecosystem. By providing tools and features to create and manage citations for datasets, the extension promotes discoverability and acknowledgment of data sources, enhancing the reproducibility and transparency of research and analysis based on these datasets. The available information is limited, but based on the name, the extension likely focuses on generating, displaying, and potentially exporting citation information. Key Features (Assumed based on Extension Name): * Dataset Citation Generation: Likely provides functionality to automatically generate citation strings for datasets based on metadata fields, adhering to common citation formats (e.g., APA, MLA, Chicago). * Citation Metadata Management: Potentially offers tools to manage citation-related metadata within datasets, such as author names, publication dates, and version numbers, which are essential elements for creating accurate citations. * Citation Display on Dataset Pages: It's reasonable to expect that the extension displays the generated citation information prominently on the dataset's display page, facilitating easy access for users. * Citation Export Options: May provide options to export citations in various formats (e.g., BibTeX, RIS) to integrate with reference management software popular among researchers. * Citation Style Customization: Possibly provides configuration options to customize the citation style used for generation, accommodating different disciplinary requirements. Use Cases (Inferred): 1. Research Data Repositories: Data repositories can utilize datacitation to ensure that researchers cite datasets correctly, which is crucial for tracking the impact of data and recognizing the contributions of data creators. 2. Government Data Portals: Government agencies can implement the extension to promote the proper use and attribution of open government datasets, fostering transparency and accountability. Technical Integration: Due to limited information, the integration details are speculative. However, it can be assumed that the datacitation extension likely integrates with CKAN by: * Adding a new plugin or module to CKAN that handles citation generation and display. * Extending the CKAN dataset schema to include citation-related metadata fields. * Potentially providing API endpoints for programmatic access to citation information. Benefits & Impact: The anticipated benefits of the datacitation extension include: * Improved data discoverability and reusability through proper citation practices. * Enhanced research reproducibility and transparency by ensuring that data sources are properly acknowledged. * Increased recognition of data creators and contributors. * Simplified citation management for users of CKAN-based data catalogs. Disclaimer: The above information is largely based on assumptions derived from the extension's name and common data citation practices. The actual features and capabilities of the datacitation extension may vary due to the unavailability of a README file.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
OBJECTIVE: Disparities in how nursing faculty teach APA Style can confuse students and the librarians who help them. To clarify faculty expectations of and approaches to APA Style, this study seeks to answer the following questions: (1) What do nursing faculty perceive as the impact or value of APA Style? (2) How do nursing faculty teach and grade APA Style? By revealing the unspoken assumptions about APA Style and the value it adds to nursing education, it is hoped that health sciences librarians can more intentionally and effectively support this aspect of the nursing curriculum. METHODS: A mixed-methods study was designed to investigate potential gaps between nursing instructors' expectations for APA and their teaching/grading practices. The study incorporated an online survey of 75 nursing faculty at 14 Carnegie institutions with nursing programs, as well as qualitative interviews with 12 faculty at those institutions. A grounded theory approach was used to uncover salient themes. RESULTS: Nursing instructors consistently emphasized the importance of APA for referencing/in-text citations in both the survey and the interviews. When discussing the value of APA Style in nursing education, interviewees stressed APA Style as essential in developing professional nursing communication skills and evidence-based practice. However, faculty expectations for students' APA skills were not in line with their teaching and grading practices. CONCLUSION: Given the wide range of reporting teaching and grading practices for APA Style, nursing programs should work to clarify expectations for APA Style, and standardize how it is taught.
Dataset accompanying the publication "A Well-Being Index for Housing in the Central Districts of Madrid, Spain" (Journal of Urban Planning and Development 2022, 148-2). The internal characteristics of dwellings and their level of accessibility to basic services have traditionally been the main variables in establishing their level of quality; however, in large cities, problems associated with traffic and environmental quality are becoming increasingly important because of their impact on people’s quality of life. This paper aims to build a well-being index for dwellings in the central districts of Madrid that can help the urban managers to take decisions increasing citizens’ well-being. For this purpose, we have developed an indicator using the P2-distance method on a database of variables related to environmental quality, and on the other hand, variables related to the characteristics of the dwelling. We find that, in general, the distance to services variables correlates negatively with the well-being index as we expected. On the other side, a positive and unexpected correlation is observed between the well-being index and the variables of pollution and noise, which indicates that these variables are usually higher in the points best located with respect to basic services, places that we could consider as service centers of the central almond. Therefore, the index allows urban planners to test complex solutions in presence of the trade-offs between elements that affect negatively the well-being such as noise or pollution, versus positive variables such as higher density of services availability. How to cite the database (APA style): Sánchez, B.; Velázquez, J.; Gómez,, I.; Sánchez, E.; Herráez, F. & Chasco, C. (2022). A Well-Being Index for Housing in Madrid [Data set]. (doi: 10.23728/b2share.8fb5edf335164dcf8262e08a1620227f).
Not seeing a result you expected?
Learn how you can add new datasets to our index.
The datacitation extension for CKAN aims to facilitate proper data citation practices within the CKAN data catalog ecosystem. By providing tools and features to create and manage citations for datasets, the extension promotes discoverability and acknowledgment of data sources, enhancing the reproducibility and transparency of research and analysis based on these datasets. The available information is limited, but based on the name, the extension likely focuses on generating, displaying, and potentially exporting citation information. Key Features (Assumed based on Extension Name): * Dataset Citation Generation: Likely provides functionality to automatically generate citation strings for datasets based on metadata fields, adhering to common citation formats (e.g., APA, MLA, Chicago). * Citation Metadata Management: Potentially offers tools to manage citation-related metadata within datasets, such as author names, publication dates, and version numbers, which are essential elements for creating accurate citations. * Citation Display on Dataset Pages: It's reasonable to expect that the extension displays the generated citation information prominently on the dataset's display page, facilitating easy access for users. * Citation Export Options: May provide options to export citations in various formats (e.g., BibTeX, RIS) to integrate with reference management software popular among researchers. * Citation Style Customization: Possibly provides configuration options to customize the citation style used for generation, accommodating different disciplinary requirements. Use Cases (Inferred): 1. Research Data Repositories: Data repositories can utilize datacitation to ensure that researchers cite datasets correctly, which is crucial for tracking the impact of data and recognizing the contributions of data creators. 2. Government Data Portals: Government agencies can implement the extension to promote the proper use and attribution of open government datasets, fostering transparency and accountability. Technical Integration: Due to limited information, the integration details are speculative. However, it can be assumed that the datacitation extension likely integrates with CKAN by: * Adding a new plugin or module to CKAN that handles citation generation and display. * Extending the CKAN dataset schema to include citation-related metadata fields. * Potentially providing API endpoints for programmatic access to citation information. Benefits & Impact: The anticipated benefits of the datacitation extension include: * Improved data discoverability and reusability through proper citation practices. * Enhanced research reproducibility and transparency by ensuring that data sources are properly acknowledged. * Increased recognition of data creators and contributors. * Simplified citation management for users of CKAN-based data catalogs. Disclaimer: The above information is largely based on assumptions derived from the extension's name and common data citation practices. The actual features and capabilities of the datacitation extension may vary due to the unavailability of a README file.