This data paper template refers to the national standards Data Paper Publishing Metadata (GB/T 42813-2023) and Academic Paper Writing Rules (GB/T 7713.2-2022), and also investigates and to some extent refers to the paper templates of domestic and foreign journals that publish data papers.

This dataset is comprised of a collection of example DMPs from a wide array of fields; obtained from a number of different sources outlined below. Data included/extracted from the examples include the discipline and field of study, author, institutional affiliation and funding information, location, date created, title, research and data-type, description of project, link to the DMP, and where possible external links to related publications or grant pages. This CSV document serves as the content for a McMaster Data Management Plan (DMP) Database as part of the Research Data Management (RDM) Services website, located at https://u.mcmaster.ca/dmps. Other universities and organizations are encouraged to link to the DMP Database or use this dataset as the content for their own DMP Database. This dataset will be updated regularly to include new additions and will be versioned as such. We are gathering submissions at https://u.mcmaster.ca/submit-a-dmp to continue to expand the collection.

This Data Management Plan describes the data management life cycle for the data, a Research Project of EXC IntCDC will collect, process and/or generate. Moreover, it describes whether and how this data is being used and/or made publicly available for verification and re-use and how the data will be curated and preserved after the end of the project.

This folder template was developed to be used to homogenize the structure of research data (any files). For each experiment, folders are meant to be newly created (by duplicating and renaming the 001_defaultexp folders for example).

A template to create a README txt file to attach to datasets uploaded to ORDO.For further guidance, visit the OU Library Research Support website.

Template Generation Dataset for AI Agents Evaluation

This is the benchmark for the Project Template Generation task, which requires creating a project template (content and structure) by short textual description. The dataset provides all the required components for evaluation of project template generation approaches in real project templates collected from GitHub, including:

Repository description; Repository root README.md file content; Repository link by which the "golden"… See the full description on the dataset page: https://huggingface.co/datasets/JetBrains-Research/template-generation.

Tools for research data curation.

This data management template is meant to be used by health sciences researchers conducting qualitative research on human subjects. It includes guidance on data management best practices beginning with data collection through to data sharing.

This Data Management Plan describes the data management life cycle for the data, a Research Project of EXC IntCDC will collect, process and/or generate. Moreover, it describes whether and how this data is being used and/or made publicly available for verification and re-use and how the data will be curated and preserved after the end of the project. This is the generic Data Management Plan template for a research project of EXC IntCDC.

Major types of research data and their entity types.

Based on long-term research and practice, our team proposed a Journal Data Policy Template for Depositing & Sharing Paper Related Data, and it is a general data policy framework for different journals. According to the different intensities of sharing related data of papers, this policy framework divides into five levels, with the intensity decreasing from level 1 to level 5. According to the actual situation of each journal, the editorial department of the journal could select the corresponding strength level of the data policy, and then select the content of the policy text contained in this level. The V2 version of the data policy has revised the problems and optimized the first version. The V3 version has updated the data policy grading table. The V4 version has optimized the data policy grading table, partial expression and provided bilingual data policy templates in Chinese and English. The V5 version has added new features such as data peer review and data identifiers, and updated the data policy classification table.

This dataset is published in 2017 by the OpenAIRE project and the FAIR Data Expert Group.

It contains two survey data files, two pdf-files summarising the results in a report and an infographic, and a Readme.txt file.

The OpenAIRE project supports the open science ambitions of the European Commission. The project and in particular the Research Data Management team provide support, training and information on the Open Research Data Pilot. In this context, a survey was carried out to collect feedback on the Horizon 2020 template for Data Management Plans (DMPs). The team collaborated with the FAIR data expert group, which is providing recommendations to the European Commission on turning FAIR data into reality. One of the specific tasks of the Expert Group is contributing to an evaluation of the Horizon 2020 approach to DMPs, including future revisions of the template and the development of additional sector/ discipline-specific guidance. The aim of the survey was to collect experiences of researchers and DMP reviewers with the DMP template and guidelines on FAIR data management in Horizon 2020. The survey assesses the usefulness of the guidelines and any aspects that are confusing and unclear to determine what improvements can be made.

Feedback was sought from both researchers and research support staff. The survey was initially scheduled to run from 22 May to 21 June 2017. Several organisations were asked to help announce the survey, including OpenAIRE’s National Open Access Desks, the FAIR data expert group, FOSTER, LIBER, and the RDA Interest Group on Active DMPs. When the first survey responses showed only a small share of researchers, more stakeholders were contacted to specifically target this community. The European Research Area was approached, whose project officers circulated the survey call among award holders of EC projects. Early-career researchers were also informed through the YEAR network and EURODOC. This resulted in an extension of the survey to 21 July 2017.

At the close of the survey on 21 July 2017, a total number of 289 responses were reached. 50% of the respondents indicated that they were researchers, and 60% that they were (also) research support staff. OpenAIRE and the FAIR data expert group are very pleased with this balanced outcome and would like to thank all colleagues and organisations who promoted the survey, as well as everyone who took part in it.

WUR research data management support developed a data management plan (DMP) template with accompanying guidance. This DMP template is based on DMP core requirements as defined by Science Europe. It can be used to outline detailed data management practices for a research project in line with the WUR data policy and, when applicable, funder requirements. Additionally, this version of the template has been approved by NWO and ZonMw and can be used to fulfill the requirement of submitting a DMP to these research funders. Note that there are no known funders that make their own DMP template mandatory. WUR employees are strongly advised to use the WUR DMP template regardless of funder.The DMP templates are available as a Word and PDF file. Note that the WUR DMP template is also available in DMPonline (for example at https://dmp.wur.nl) and researchers are strongly encouraged to fill in the WUR DMP template using DMPonline. DMPonline allows easier filling in of the template, easier sharing of templates, and allows direct feedback requests for WUR employees from data@wur.nl. Please ignore the Zenodo preview below and scroll down to the actual files for download.

This dataset presents the assessment tool used to analyze 20 Data Management Plan (DMP) templates on the Argos platform, along with the pre-print of the manuscript for an article that is about to be published in the Journal Biblios of the University of Pittsburgh. The main objective of this study was to investigate the need to implement a DMP at Universidad Centroamericana José Simeón Cañas (UCA) to improve accessibility, discovery, and reuse of research. Using a qualitative case study methodology, we worked with 10 selected research groups to evaluate and adapt a base model for the DMP. The results indicated a significant improvement in research data management and a positive perception from users regarding the processing and organization of their data. This set includes the DMP format generated for UCA, as well as recommendations for other institutions interested in adopting similar data management practices, contributing to the continued growth of scholarly output and the ethical and..., Method: A qualitative case study methodology was employed, which included participant observation of researchers and administrative staff from various 2024 research groups, along with an analysis of documentation and LibGuides. A benchmarking process was also conducted, comparing 20 PGDI templates to extract the best structure and practices from various research institutions. Content analysis: This method was used to examine a set of 20 PGDI templates from the ARGOS initiative, a platform developed by OpenAIRE and EUDAT for planning and managing research data. A systematic review of the structure and content of each of these templates was conducted, assessing the clarity, consistency, and adequacy of the information presented. Through this content analysis, key elements were identified that needed to be incorporated or improved in the base template provided to UCA research groups. This process allowed us to highlight best practices and identify areas that required additional attention, ..., , # Data from: Data management plan (DMP): Towards more efficient scientific management at the Universidad Centroamericana José Simeón Cañas

https://doi.org/10.5061/dryad.1zcrjdg25

Description of the Data and File Structure

README for the Dataset: Implementation of a Data Management Plan (DMP)

Dataset Description

This dataset includes the evaluation instrument used to analyze 20 Data Management Plan (DMP) templates on the Argos platform. Additionally, the pre-print of the manuscript of the article that is set to be published in the Journal Biblios at the University of Pittsburgh has been attached. Furthermore, the format of the Data Management Plan generated for the Universidad Centroamericana José Simeón Cañas (UCA), developed from this research, is included.

Objective

The primary objective of this study was to investigate the need to implement a Data Management Plan (DMP) to improve the accessibility, discoverability...

This template guides the writing of a research data management plan (DMP) with an open science/open scholarship workflow, which uses mixed social sciences research methods, producing quantitative as well as qualitative datasets. The questions emphasize data sharing and reuse throughout the project, not only at the final stage of publication. This DMP template will be most useful to researchers who are working in a multi-institutional partnership and who have already completed a funding application and an ethics review protocol. The DMP is a living document: don’t forget to revisit your DMP throughout the research project to update or review your responses. Not all of these questions will apply to all research projects. We encourage you to respond to as many as possible but ultimately, you and your team have to decide which questions and answers apply to your workflow. Also available on the Meaningful Data Counts Zenodo community space: https://doi.org/10.5281/zenodo.4092122

Research data activities and their corresponding actions in IRs.

This file contains participant response data to Likert scale, open-ended responses and self-reported time taken to complete various tasks related to the extraction exercise. This Excel file also contains: 1) Examples of the Interactive HAWC Visuals that can be created after extracting data into the template. 2) The Initial Post-Extraction Survey Tool ("Survey 1") 3) The Final Post-Pilot Survey Tool ("Survey 2") 4) Survey 2 Results: Willingness to Consider Structured Data During Publication Process (Table 2) 5) Survey 1 Results: Participant Self-Reported Time Spent Performing Various Pilot Tasks (Table 3) 6) Survey 1 Results: Summary of Technical Assistance Provided by Team Members (Table 4) 7) Survey 2 Results: Participant Responses Describing Pilot's Impact on Future Research Activities (Table 5) 8) Survey 1 Results: Initial Survey Likert Scale Results (Table 6) 9) Repeat Extraction: Comparison of the First and Second Data Extraction Experience (Among the Same Participant) 10) Survey 1 Results: Problematic & Easy Fields to Extract. This dataset is associated with the following publication: Wilkins, A., P. Whaley, A. Persad, I. Druwe, J. Lee, M. Taylor, A. Shapiro, N. Blanton, C. Lemeris, and K. Thayer. Assessing author willingness to enter study information into structured data templates as part of the manuscript submission process: A pilot study. Heliyon. Elsevier B.V., Amsterdam, NETHERLANDS, 8(3): 1-9, (2022).

Users’ data activities in IRs.

This data corresponds to the compilation and study carried out in the DMPs of researchers who responded to a questionnaire about completing Data Management Plans. The table shows information regarding the DMPs link, country of research development, affiliation, research title, template used and the funding agencies.