Data from: Data management plan (DMP): Towards a more efficient scientific management at the Universidad Centroamericana José Simeón Cañas
Data files
Oct 22, 2024 version files 1.19 MB
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Benchmarking_comparativo_de_plantillas_de-PGDI_argos_ENGLISH_SPANISH2023-2024-_Comparativa_de_plantillas.csv
13.99 KB
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Benchmarking_comparativo_de_plantillas_de-PGDI_argos_ENGLISH_SPANISH2023-2024-_Depuración.csv
28.43 KB
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Benchmarking_comparativo_de_plantillas_de-PGDI_argos_ENGLISH_SPANISH2023-2024.xlsx
71.03 KB
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Dataset_of_Data_Management_PlaN-DMP_Towards_More_Efficient_Scientific_Management_at_the_José_Simeón_Cañas_Central_American_University.zip
1.06 MB
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README.md
8.47 KB
Abstract
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 responsible management of data. This summary encapsulates the objectives, methods, results, and relevance of the dataset, providing a clear and concise overview of the work conducted.
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, and reuse of research at UCA. The implementation of the DMP aims to facilitate a more organized management of data, promoting its preservation and publication on the Micelio platform.
Results
The results demonstrated a significant improvement in the management of research data and a positive perception from users regarding the processing and organization of the data.
Files and Variables
Included Files
- File: Benchmarking_comparativo_de_plantillas_de-PGDI_argos_ENGLISH_SPANISH2023-2024-_Comparativa_de_plantillas.xlsx: This file contains the evaluation instrument used to analyze the DMP templates in both English and Spanish, formatted as an XLSX spreadsheet.
- Files: Benchmarking_comparativo_de_plantillas_de-PGDI_argos_ENGLISH_SPANISH2023-2024-_Comparativa_de_plantillas.csv / Benchmarking_comparativo_de_plantillas_de-PGDI_argos_ENGLISH_SPANISH2023-2024-_Depuración.csv: This file includes the evaluation instrument used to analyze the DMP templates in both English and Spanish, provided in CSV format for compatibility with various data analysis tools.
- File: Pre-print of the Manuscript: This document describes the study and its findings, which is set to be published in Biblios Journal of Librarianship and Information Science. It is included within the ZIP file and is also available on Zenodo at DOI: 10.5281/zenodo.13845908.
- File: Modelo_de_Plan_de_Gestión_de_Datos_v.2.1-SPANISH_(2024-02-14).pdf: This file presents the base model of the Data Management Plan adapted to the specific needs of UCA, provided in Spanish.
- File: Data_Management_Plan_Model_v.2.1_-ENGLISH(2024-02-14).pdf: This file presents the base model of the Data Management Plan adapted to the specific needs of UCA, provided in English.
- File: Dataset_of_Data_Management_PlaN DMP_Towards_More_Efficient_Scientific_Management_at_the_José_Simeón_Cañas_Central_American_University.zip: This ZIP file groups and contains all the aforementioned elements, providing a comprehensive dataset for analysis.
Total Document Count
The dataset consists of a total of 7 documents, including those mentioned above, which provide comprehensive insights into various aspects of Data Management Plans.
Dictionary of Variables
General Information About The Research:
Variables with numerals (1.) refer to sections compared regarding general information about the research.
Data Description:
Variables with numerals (2.) make reference to sections compared regarding data description.
Data Quality and Documentation:
Variables with numerals (3.) refer to sections compared concerning data quality and documentation.
Data Accessibility and Reuse:
Variables with numerals (4.) relate to sections analyzed regarding data accessibility and reuse.
Ethical and Legal Requirements:
Sections with numerals (5.) refer to sections analyzed from various templates concerning ethical and legal requirements.
Data Exchange and Long-Term Preservation:
Variables with numerals (6.) refer to sections related to data exchange and long-term preservation.
Data Sharing:
Variables with numerals (7.) focus on sections compared regarding data sharing.
Period of Time and Other Sections:
Variables with numerals (8.) refer to period of time and other relevant sections.
Explanation of Data Matrix
In the data matrix, from cells A1 to G1 in the “Depuración” worksheet, a preliminary selection process was conducted where functional sections were retained while unnecessary ones were removed. In the “Comparativa de plantillas” worksheet, benchmarking was performed analyzing trends in templates from cell A2 to V2.
Analyzed Templates
The following templates were analyzed during this benchmarking process:
- Template_Academy_Of_Finland
- Template_ARIADNEPlus_Horizon2020
- Template_CHIST-ERA
- Template_Clarín-D
- Template_FCT_Model_in_Portuguese
- Template_FWF_Austrian_Science_Fund
- Template_Horizon_2020
- IOSSG_template
- Template_National_Science_Center_in_Poland
- Template_Netherlands_World_Organization_for_Scientific_Research_(NWO)
- Template:_RDA_madmp-solo
- Template:_detailed_research_data_management_plan_plan_hungarians
- Template:_brief_research_data_management_plan_plan-hungarian
- Template_RSU_DMP
- Template_Science_Europe
- Template_Serbia_Scientific_Background_[complete]
- Template-Fondo_Científico_de_Serbia_[corto]
- Template_Swedish_Research_Council
- Template_The_Norwegian_Research_Council_of_Norway
- Template:_United_Kingdom_research_innovation
Glossary of Technical Terms
- Accessibility: The ability to access information and resources easily and efficiently.
- Analysis: The process of examining data or information to extract conclusions or insights.
- Benchmarking: The process of comparing practices and results against standards or best practices in the industry.
- DMP (Data Management Plan): A plan that outlines how data will be managed during and after a research project.
- DOI (Digital Object Identifier): A unique and persistent identifier assigned to a digital object, such as an academic article, that facilitates its online location.
- Documentation: A collection of documents that explain and support a process, product, or system.
- Evaluation: A systematic process for measuring the effectiveness or quality of a program, project, or tool.
- Format: The structure or arrangement in which information or data is presented.
- Research: A systematic process for discovering, interpreting, and reviewing facts, events, behaviors, or theories.
- Data Matrix: A structure that organizes data in rows and columns to facilitate analysis.
- Micelio: A digital platform used for managing and publishing research data.
- Template: A predefined document that serves as a model for creating similar documents.
- Pre-print: A preliminary version of an academic article shared before peer review.
- Preservation: The process of maintaining and protecting data over the long term to ensure future accessibility.
- Resources: A set of goods, services, personnel, and materials available for carrying out specific activities.
- Results: Conclusions drawn from the analysis of data or information collected during a study.
- Section: A specific part within a document that addresses a particular topic.
- Template (Plantilla): A standard model used to guide the creation of specific documents, such as DMPs.
- UCA (Universidad Centroamericana José Simeón Cañas): The educational institution where the study mentioned in the dataset was conducted.
- Variable: An element or characteristic that can change and be measured in research or study, used to analyze relationships between different factors.
Access to Additional Resources
A workshop titled “Research Data Planning Workshop” was organized, where the structure and intent of the UCA DMP were shared. The workshop was recorded and is available here. Link to the Data Planning Workshop.
Access information
Contact
For inquiries or more information about this dataset, you can contact Kevin Gutierrez at kahernandezg@uca.edu.sv
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, thereby contributing to the continuous improvement of the resource used in implementing the model.
Benchmarking of processes: A comparative analysis was conducted on the content and structure of 20 PGDI templates from research institutions that apply data management processes based on the proposed instrument. The objective of this analysis was to identify and evaluate the best sections of each selected template, using the instrument proposed in this study as a reference.