Capture, Editing and Scientific Production
Platforms for collaborative authoring, data management planning, and journal or preprint publishing with native PID assignment.
Sceiba.net
Specialized consulting and engineering to support universities, research centers and libraries in deploying open, interoperable and sustainable infrastructures.
Sceiba is an architecture and engineering consultancy for research technology infrastructure. We accompany universities, research centers, libraries, and scientific institutions in the design, deployment, and evolution of open, interoperable, and sustainable knowledge infrastructures.
We work from our own scientific knowledge management framework: a five-stage model that covers the complete lifecycle of institutional knowledge, from production and management to preservation, discovery, analysis, and activation. This framework is our working methodology: it guides the diagnosis of each organization, the prioritization of interventions, and the design of each roadmap.
Our approach combines open standards, interoperability, and technological governance so that knowledge remains under the institution’s own control.
From updating a specific platform to architecting a complete ecosystem with knowledge graphs and private artificial intelligence, we work at operational, tactical, and strategic intervention levels, adapting to the maturity, resources, and objectives of each organization.
A roadmap for organizing, preserving, disseminating and enhancing research outputs in academic and research institutions. Although presented in five stages, its real application is not always sequential. In many institutions, the stages overlap, feed back into one another or are addressed in parallel. For this reason, rather than a chain of stages, the framework should be understood as an ecosystem of institutional capabilities.
Platforms for collaborative authoring, data management planning, and journal or preprint publishing with native PID assignment.
Systems to organize, catalog and connect scientific output, research data, researcher profiles and library collections.
Tools and policies aligned with the OAIS model and ISO 14721 to guarantee authenticity, integrity and long-term conservation of digital heritage.
Meta-search layers, dissemination portals and interoperability protocols to integrate institutional memory with global knowledge nodes.
Semantic modeling of institutional knowledge, bibliometric analytics, relationship mapping and private conversational AI integrated with institutional technical and scientific memory.
Organizational, normative and human conditions that must accompany all stages of the framework.
Roles, responsibilities and decision-making processes for the knowledge ecosystem.
Guidelines for open access, data, preservation, licensing and responsible AI use.
Training and support for researchers, libraries and technical teams.
Reliable, normalized and sufficient metadata for discovery, preservation and analysis.
Financial and technical viability of the model over time.
Protection of sensitive data, strategic information and regulatory compliance.
Engineering and consulting capabilities that support the ecosystem, from systems architecture to private artificial intelligence.
The framework can be applied in a modular way, according to institutional maturity, with actions ranging from operational maintenance to strategic transformations.
Actions aimed at stabilizing, updating and maintaining existing platforms and services.
Actions to organize, normalize and integrate components of the institutional ecosystem.
Projects that transform institutional capacity to preserve, analyze and activate knowledge.
Let's talk about how we can help your institution build open, interoperable and sustainable technology infrastructure for research.