Data Collected

El Capacho Scientific Journal collects essential contact information that facilitates effective communication throughout the editorial process, including institutional and personal email addresses, phone numbers when provided voluntarily, and postal addresses of authors, reviewers, and associate editors who participate in journal activities. This contact information is obtained directly from users during the registration process on the editorial platform, manuscript submission, or acceptance of invitations to participate as reviewers, and is kept updated through periodic communications that allow participants to modify their data when necessary. The collection of contact information is strictly limited to data necessary for appropriate functioning of the editorial process, avoiding request for additional personal information that does not have direct relation to the publication's academic activities. All contact information is handled with strict confidentiality and is used exclusively for legitimate editorial purposes, never being shared with commercial third parties or used for promotional purposes unrelated to the journal's academic mission.

Institutional affiliations of authors, reviewers, and editorial team members are collected to guarantee transparency in the academic process, facilitate appropriate identification of disciplinary expertise, and comply with international scientific publication standards that require clear declaration of institutions supporting published research. This information includes complete names of universities, research institutes, government organizations, companies, or other entities where participants develop their academic or professional activities, as well as departments, schools, or specific divisions when relevant to establish the disciplinary context of their participation. Institutional affiliations may also include information about multiple affiliations when participants maintain academic links with various organizations, and are updated periodically to reflect changes in collaborators' professional careers. This information is used to verify appropriateness of reviewers for specific manuscripts, identify potential conflicts of interest, and provide appropriate institutional context in final publications.

Bibliometric data is systematically collected to evaluate the journal's academic impact, monitor trends in scientific productivity of contributors, and generate metrics that facilitate informed editorial decision-making about future development of the publication. This data includes information about previous publications of authors and reviewers, citation indices when publicly available, participation in relevant research projects, and other indicators of academic productivity that may be useful for evaluating quality and relevance of received contributions. Collection of bibliometric data is performed through consultation of public academic databases, information voluntarily provided by participants, and analysis of publication patterns in specific thematic areas of science and technology. This data is used exclusively for legitimate academic purposes and is never employed to discriminate against researchers with different levels of experience or productivity, always maintaining the principle that editorial decisions are fundamentally based on scientific merit of individual contributions.

Usage statistics of the editorial platform and published content are automatically collected through analytical tools that monitor access, download, and utilization patterns of published articles, providing valuable information about geographical reach of audience, thematic preferences of readers, and effectiveness of different scientific content dissemination strategies. These statistics include data about visits to specific pages, article downloads in different formats, time spent on the website, countries of origin of access, devices used for consultation, and other technical indicators that facilitate user experience optimization and continuous improvement of editorial services. Collection of usage statistics is performed in aggregate and anonymous manner, without linking specific activities to identifiable individual users, complying with principles of privacy and personal data protection. This information is used to generate periodic reports about journal impact, identify opportunities for improvement in the technological platform, and demonstrate public value of institutional investment in open access publication.

Data Use

Collected data is fundamentally used for efficient editorial management, facilitating coordination of all activities necessary to maintain academic quality standards and comply with publication schedules established by the journal. This management includes appropriate assignment of manuscripts to qualified reviewers based on disciplinary expertise and availability, monitoring evaluation progress to ensure compliance with established deadlines, coordinating communications between different participants in the editorial process, and implementing quality control measures that guarantee integrity of all followed procedures. Personal and professional information collected allows the editorial team to make informed decisions about reviewer selection, identify potential conflicts of interest before making assignments, and maintain detailed records of different experts' participation in journal activities. This use of personal data is always performed within the framework of informed consent provided by participants and is strictly limited to activities directly related to the publication's academic mission.

Effective communication with authors represents a fundamental use of collected contact data, ensuring that all parties involved in the publication process receive timely and accurate information about manuscript status, editorial decisions, revision requests, and other relevant aspects of the academic process. This communication includes automatic notifications about important milestones in the editorial process, reminders about pending deadlines, requests for additional information when necessary, and confirmations of receipt of materials submitted by authors. Contact data also facilitates resolution of technical problems that may arise during use of the editorial platform, clarification of doubts about journal policies, and provision of personalized assistance when authors require specific guidance about editorial procedures. All communication is conducted professionally and confidentially, maintaining privacy of exchanges and using contact data exclusively for purposes related to legitimate editorial activity.

Impact metrics are developed using collected bibliometric data and usage statistics, allowing the journal to document its contribution to scientific knowledge advancement in the areas of science and technology, and provide objective evidence of the publication's academic value for the international research community. These metrics include analysis of citation patterns of published articles, evaluation of geographical reach of audience, measurement of participation by researchers from different institutions and countries, and development of alternative indicators that capture impact beyond traditional citation metrics. Data is used to generate periodic reports that document journal growth and evolution, facilitate requests for inclusion in prestigious indexing databases, and support arguments for maintaining institutional support necessary for publication sustainability. Generation of impact metrics is performed following internationally recognized methodologies and is presented transparently to allow independent verification of obtained results.

Collected data contributes significantly to continuous improvement of editorial processes through systematic analysis of operational patterns, identification of optimization opportunities, and implementation of modifications that increase efficiency, quality, and user satisfaction with services provided by the journal. This analysis includes evaluation of average times required for different stages of the editorial process, identification of bottlenecks that may delay timely publication, analysis of feedback provided by authors and reviewers about their experience with the platform, and monitoring of technical metrics reflecting performance of used digital infrastructure. Data is used to inform decisions about technological updates, modifications to editorial policies, adjustments in operational procedures, and implementation of new functionalities that improve user experience. This continuous improvement process is conducted systematically and documented, ensuring that implemented changes effectively contribute to academic quality and operational efficiency objectives that characterize the mission of El Capacho Scientific Journal.

Data Protection and Confidentiality

El Capacho Scientific Journal implements appropriate technical and organizational security measures to protect all collected personal data against unauthorized access, improper modification, accidental disclosure, and information loss, complying with international data protection standards and privacy principles that guarantee ethical treatment of information entrusted by authors, reviewers, and other participants in the editorial process. These measures include use of encrypted connections for all data transmissions, implementation of robust authentication systems that control access to sensitive information, maintenance of secure backups that protect against data loss, and regular training of personnel with access to personal data about information security best practices and confidential information handling. The journal also maintains clear data retention policies that specify appropriate periods for conservation of different types of information, secure procedures for data elimination when no longer necessary, and protocols for notifying participants about any security incident that may affect their personal data.

Participants' rights regarding their personal data are fully respected, including the right of access to information collected about them, the right of rectification when data is incorrect or incomplete, the right of deletion when retention is no longer necessary for legitimate purposes, and the right of portability that allows data transfer to other systems when technically viable and legally appropriate. Participants can exercise these rights by contacting the editorial team directly through established communication channels, and will receive timely response including implementation of requested actions when appropriate according to applicable legislation and institutional policies. The journal also provides clear and accessible information about its data collection and use practices, allowing participants to make informed decisions about their participation in editorial activities and fully understand how information they voluntarily provide during their interaction with the publication will be used.