Research Data Policy of Laboratorio de Arte
Laboratorio de Arte, in its commitment to Open Science, aims to promote transparency, accessibility, reuse, and replicability of publications. Therefore, it recommends that authors provide access to the data collected during research, ensuring its findability, accessibility, interoperability, and reuse, in line with the FAIR principles.
Definition
"Research data" refers to any document other than the scientific publication that is used or produced during the research presented and serves as evidence in the process or is essential for validating conclusions and results.
Research Data Requirements
Access and Data Location: Authors should deposit research data, preferably in open access, in an institutional, thematic, or generalist repository, allowing its location through persistent identifiers (handle, DOI, etc.).
Sensitive Data and Access Restrictions: When data availability is limited due to privacy, security, or data protection reasons, a clear explanation of these restrictions should be provided, and if possible, an anonymized or summarized version of the data should be made available.
Documentation and Metadata: Data should be accompanied by adequate documentation and metadata to facilitate its interpretation and reuse, for example, through a Readme.txt file or similar.
License and Usage Rights: Shared data should be accompanied by a clear statement indicating how it can be reused. The use of open licenses (e.g., Creative Commons) is recommended.
Note in the Article
The article should mention that the data has been deposited in a repository and provide a description of the type of data, the name and URL of the repository, the identifier code, and the license for use and distribution. This information should appear at the end of the article, before the bibliographic list, under the heading 'Availability of Deposited Data'.
How to Cite
In cases where data from other research has been used as sources for the publication, it must be cited correctly, following the Chicago Deusto, and should appear with the rest of the bibliographic references in the publication.
The citation system used by the journal is that of Harvard, although using footnotes, numbered consecutively with Arabic numbers and placed in the text before the punctuation marks, adhering to the following rules:
Monographs, conference proceedings, exhibition catalogs, book chapters or articles will appear only in summary:
Surname year, pages.
Example: Sanz Serrano 1976, 120-124.
References to different works by the same author will be separated with a semicolon, without re-indicating their surnames:
Example: Cómez Ramos 2014, 163-165; 2015, 26; 2016, 234-236.
Works by the same author published in the same year will be differentiated by adding one letter per year:
Example: Roda Peña 2016a, 34-38; 2016b, 345-350.
If several authors are included in the same bibliographic reference, they will be cited one after the other separated by a semicolon:
Example: Santos Márquez 2012, 448-467; Ros González 2013, 89-93.
If a bibliographic reference has more than one author, they will be separated by a slash:
Example: http://archivoespañoldearte.revistas.csic.es/index.php/aea/article/view/105 2/1084 (30-3-2019)
References to primary sources will appear only in the notes and not in the bibliography. In the first mention, the developed name of the file will appear, followed by the initials prefixed by it in parentheses, which will be used in subsequent citations, as well as the references necessary for the precise location of the document in question.
Example: Archivo Histórico Provincial de Sevilla (AHPSe), section, file, trade, book, year, folios (f. ff., s.f.).
Comments or clarifications to the text that are considered will also be included in the footnotes.
The formulas idem, ibidem, infra, supra, ss, id., Op will not be used. cit., cfr, and the like.
INSTRUCTIONS FOR BIBLIOGRAPHY
A complete bibliographic list will be included at the end of the text, ordered alphabetically and also written in Times New Roman font with a size of 12 points and a space and a half spacing. Only publications that have been used and are cited in footnote references should appear. They will take the following form:
* For monographs and collective volumes:
Surname, Name. Year. Title. Publishing place: Editorial.
Surname, Name and Name Surname. Year. Title. Publishing place: Editorial.
Surname, Name, eds. Year. Title. Publishing place: Editorial.
Examples:
Feros, Antonio. 2002. El duque de Lerma. Realeza y privanza en la España de Felipe III. Madrid: Marcial Pons.
Quiles García, Fernando and Ignacio Cano Rivero. 2006. Bernardo Lorente Germán y la pintura sevillana de su tiempo (1680-1759). Madrid: Fernando Villaverde.
Falomir Faus, Miguel, ed. 2008. El retrato del Renacimiento. Madrid: Museo del Prado.
* For chapters and contributions in collective volumes and catalogs:
Surname, Name. Year. "Title". In Title, ed. for Name Surname, vol., xx-xx. Publishing place: Editorial.
* For magazine papers:
Surname, Name. year. "Title". Magazine, xx [issue]: xx-xx. Examples:
Roda Peña, José. 2001. “Valdés Leal, escultor. Aportación a su catálogo”. Laboratorio de Arte 14: 51-64.
Cornejo Vega, Francisco J. 2006. “Noticias de Francisco de Herrera el Viejo en Madrid y del retablo mayor del Colegio de San Basilio, de Sevilla”. Archivo Español de Arte 79 (316): 355-370.
In the case of several works by the same author, they will be ordered chronologically, each time including the author's surname and name. Works by the same author, published in the same year, will be differentiated by adding one letter per year. For more information on best practices in research data management, please visit this link: https://guiasbus.us.es/datos/gestion
Guide for Documenting Research Data in Laboratorio de Arte
Purpose
This guide provides detailed instructions for authors on how to properly document research data, facilitating its understanding, use, and reuse by the scientific community and the general public.
Scope
It applies to all research data, including quantitative and qualitative data, large and small datasets, and related materials such as software codes and protocols, submitted alongside manuscripts to [Journal Name].
Basic Principles of Documentation
- Clarity: Documentation should be clear and easy to understand.
- Comprehensiveness: Include all necessary information to understand, evaluate, and use the data.
- Accessibility: Ensure that documentation is easily accessible along with the dataset.
Essential Elements of Documentation
Descriptive Metadata
- Dataset Title: Clear and descriptive, reflecting the content of the dataset.
- Author(s): Full names and institutions of those who generated the data.
- Creation Date: When the data was generated or collected.
- Version: If applicable, the version of the dataset.
- Location: Repository where the data is hosted and its persistent identifier (e.g., DOI).
Data Context
- General Description: An explanation of the nature of the data and the (type of) research for which it was generated.
- Keywords: Terms facilitating dataset search and retrieval.
- Temporal and Geographic Coverage: The time period and geographic location of the data.
Methodology
- Data Collection and Processing: Describe data collection, processing, and analysis.
- Standards and Calibrations: Any standards used or calibrations performed.
- Instrumentation and Software: Details of any specialized equipment or software used.
Data Structure and Format
- File Format: Specify the format of the data and the reasons for its choice.
- Data Structure: Describe the organization of the data, including the description of variables, codes, and units of measurement.
Access and Use
- Usage License: Details on how the data can be used, including any restrictions.
- Access Guide: How to access the data and any software needed for its visualization or analysis.
Support and Contact
- Support Contact: Contact information for queries or clarifications about the data.
Best Practices
- Use recognized metadata standards to facilitate interoperability.
- Include examples of data citation and reuse.
- Ensure privacy and ethics, especially with sensitive data.
Conclusion
Proper data documentation is essential for transparency, replicability, and the advancement of scientific knowledge. [Journal Name] encourages authors to follow these guidelines to maximize the impact and accessibility of their research.
