Many university and polytechnic students in New Zealand are asked to use APA citation style in theirwriting assignments. However, a literature review on major works published in the last 10 years foundno studies examining how well New Zealand students handle APA style. Moreover, in my daily work inan academic library, I have noticed many of our students have difficulties in formatting papers usingAPA style.Taking a different approach, this research used a specifically designed test to probe for the mostcommon problems students face with formatting APA reference list and in-text citation. This approachwas based on the following considerations: (a) to facilitate a quantitative comparison and analysis ofeach APA element; (2) to verify this research approach, which was hardly used before. Special attentionwas paid to digital resources (e.g., blog post, video stream, etc.) to reflect a growing digital academicand research environment. Furthermore, this test has a strong focus on information resourcesrelevant to New Zealand.The research findings show that students’ APA style skills remained at the basic level. They had someideas about the rules, but did not comply with many of them. One significant finding is that theylacked the skills to judge the nature of information sources. Students generally performed well withthose information resources with which they are familiar. The research findings provide a snapshot onhow a sample of international students performed regarding APA style, and may inform the design ofa future APA style training session.

This data set describes the pre and post test scores of students who took part in a classroom game to improve knowledge of APA style citation.

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.

When using this dataset, either in parts or full, please cite the original article that contributed to this dataset. Dataset may not be used, reprinted or distributed in any form without prior permission from the corresponding author. APA citation for the original article: Maitra, V., Shi, J., & Lu, C. (2022). Robust prediction and validation of as-built density of Ti-6Al-4V parts manufactured via selective laser melting using a machine learning approach. Journal of Manufacturing Processes, 78, 183-201.

This dataset includes 446 cleaned as-built data instances mined from 44 papers, which are referenced in the file.

This data study contains farm trial data conducted on wheat. Citation APA Harvard MLA Vancouver Chicago IEEE CSE AMA NLM Turabian

Selections made from 2018TDrPPT and now advanced to TDrAPT Citation APA Harvard MLA Vancouver Chicago IEEE CSE AMA NLM Turabian

Preliminary performance trial for assessing 53 D. alata clones in Ibadan, 2017/2018 Citation APA Harvard MLA Vancouver Chicago IEEE CSE AMA NLM Turabian

Traits Profiling of collections of local D. alata Variety Citation APA Harvard MLA Vancouver Chicago IEEE CSE AMA NLM Turabian

Identification of QTL using bi parental population Citation APA Harvard MLA Vancouver Chicago IEEE CSE AMA NLM Turabian