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Architecture of Academic Registers, Knowledge and Institutions of the “Revival of the Earth” programme.
Возрождение_Земли_Академические_реестры.pptx
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| Prepared for Sergey Leonidovich | Working version 26 August 2026 |
|---|
SECTION 01
Action to be taken
To create a modern federal academic infrastructure that uses the strong system principles of the Academy of Sciences USSR without reproducing its administrative and political model.
“Rebirth of the Earth” — mission; academic institutions — execution infrastructure; academic registries — trust and management infrastructure.
Towards the end 36- a monthly cycle should operate a network of profile institutional contours and territorial nodes, combined 16 interconnected registers. For each solution, a traceable chain is maintained: source → Method → Data → Conclusion → Technology → Event → Measured effect → independent verification.
| № | Decision | Contents |
|---|---|---|
| 1 | Approve Frame | It is not the legal restoration of the AN USSR, but a modern network based on its strong organizational principles. |
| 2 | Appointing owners | The Higher Academic Council, the Scientific and Methodological Council, the platform operator and the owners of domain registries. |
| 3 | Run 16 registers | Uniform identifiers, object passports, rules of evidence, versions and communications. |
| 4 | Choose a pilot | 3–5 Territories, 5 priority issues, a single baseline and independent verification. |
| 5 | Consolidate the legal regime | Data, rights, access, security, conflict of interest and appeals. |
| 6 | Provide a long horizon | Separate funding of science, infrastructure and projects with public audit. |
SECTION 02
Why new infrastructure is needed
Today, knowledge, equipment, projects, territories, and evidence often exist in separate circuits.
The problem is not the lack of science as such. The gap arises between the accumulated knowledge and the ability to turn it into coordinated programmes for the restoration of territories. Organizations describe themselves differently, methods are not always associated with data sets, pilots are associated with the baseline, and the claimed effect is with independent verification.
- Fragmentation of institutions. Competencies and infrastructure are accounted for locally; inter-institutional search is built manually.
- Evidence gap. Publication, data set, technology, pilot and confirmed effect are mixed as equivalent results.
- A short project horizon. Fundamental research, observation series and operation of unique installations do not fit into the usual grant cycle.
- opaque continuity. The history of institutions, collections, schools, and assets is rarely described as a chain of transformations with sources.
- Difficulty scaling. Pilot success does not automatically turn into reproducible technology for another territory.
Target Chain
SECTION 03
Historical model of AN USSR
Functional reconstruction of mature architecture 1963–1991; names and composition changed over the periods.
The strength of the system lay not only in the number of institutions, but in the related contours of governance, disciplinary specialization, regional centres and common infrastructure. Charter 1963 called the Research Institute the main bodies of research activities; laboratories, stations, observatories, libraries, museums, botanical gardens, expeditions, auxiliary institutions and enterprises operated nearby. [H1]
| Level | Function |
|---|---|
| State Contour | Council of Ministers USSR; prioritization and reporting of the Academy. |
| General Meeting | The highest body: the directions of science, elections, key organizational decisions. |
| Presidency | Plans, estimates, structure, specialization of institutions, coordination of councils and commissions. |
| Sections and offices | Disciplinary development of science and management of the relevant network of institutions. |
| Scientific advice | Inter-institutional and inter-agency complex problems; are not identical to research institutes. |
| Regional contours | Departments, research centers and branches for the tasks of macroregions. |
| Research Institutes and Units | Institutions, departments, laboratories, sectors and groups are direct research. |
SECTION 04
Disciplinary departments and regional contours
The normative image of 1963 shows a combination of scientific-industrial and territorial principles.
| Charter Section 1963 | Branches |
|---|---|
| Physical, technical and mathematical sciences | Mathematics; general physics and astronomy; nuclear physics; physical and technical problems of energy; mechanics and control processes. |
| Chemical-technological and biological sciences | General and technical chemistry; physico-chemistry and technology of inorganic materials; biochemistry, biophysics and chemistry of physiologically active compounds; physiology; general biology. |
| Earth Sciences | Geology, geophysics and geochemistry; oceanology, atmospheric physics and geography. |
| Social sciences | History; philosophy and law; economics; literature and language. |
Territorial Logic
| Contour | Value |
|---|---|
| Central centres | Moscow - Presidium and a significant part of the institutions; Leningrad is a large complex of institutes, library and archival institutions. The Leningrad Scientific Center was established in 1983. |
| Siberian Branch | It was founded in 1957. Principles: comprehensiveness of research, practical implementation, training. Novosibirsk Akademgorodok is the core of a wide regional network. [H4] |
| Ural Branch | Branch with 1932 years → the Scientific Center 1971 years → the Department of 1987 years. Linking fundamental science, resources, industry and regional challenges. [H]5] |
| Far Eastern Branch | Branch in SB AN USSR → the Scientific Center 1970 years → the Department of 1987 years. Ocean, bioresources, geology, seismicity and macroregion development. [H]6] |
| Specialized centres | Pushchino, Chernogolovka, Troitsk: territorial clusters of independent institutions and common infrastructure. |
SECTION 05
Common infrastructure of mature academic system
The long scientific cycle was supported not only by institutions, but also by common facilities, services and personnel.
| Contour | Composition |
|---|---|
| Experimental | Unique installations, observatories, polygons, stations, stationary, fleet, expeditions, collections. |
| Computational | Computing centers and machine complexes for modeling, algorithms and collective access. |
| Engineering and Innovation | SKB, design and technological institutes, experimental plants and experimental production. |
| Information and memory | Libraries, archives, museums, collections, catalogues, reference and bibliographic systems. |
| Publishing House | Editorial and publishing board, magazines, publishing house "Science", printing houses, distribution. |
| Personnel and educational | Postgraduate studies, basic departments, universities, specialized schools and scientific seminars. |
| Territorial-household | Academgorodok, housing, medicine, transport and economic services - providing the contour. |
Functional Heritage Formula
the Scientific School → fundamental research → experimental base → design development → Experienced sample → implementation → new research tasks
SECTION 06
What to preserve, modernize and not reproduce
Historical heritage is used as a set of verifiable organizational principles, not as a ready-made administrative form.
| Mode | Decision |
|---|---|
| Save | Long horizon; scientific schools; fundamental research; interdisciplinary programs; regional bases; general installations; libraries and archives; science, engineering and education links. |
| Modernize | Federated network instead of a single departmental outline; open metadata standards; independent expertise; digital traceability; transparent funding; international interoperability. |
| Do not reproduce | Administrative monopoly; political dependence of scientific evaluation; closed assignments; non-transparent allocation of resources; formal KPI; prohibition of scientific disagreement. |
SECTION 07
The Doctrine of Earth Revival
The object of management is not a separate industry, but the state of natural and anthropogenic systems of the territory.
The mission of the program is to create scientifically based, verifiable and scalable solutions for the restoration of natural systems, the sustainability of infrastructure and the quality of life. Each goal is translated into the observed indicators of the state of the atmosphere, waters, soils, biodiversity, environmental health, resource efficiency and man-made risks.
| Principle | Practical rule |
|---|---|
| Systematicity | The decision is evaluated on a full set of interrelated implications, including the transfer of risk between environments and territories. |
| Evidence | Source, method, data, uncertainty and independent verification are recorded together with the conclusion. |
| Territoriality | Programs start with a territory passport and a baseline, not pre-selected technology. |
| Reproducibility | The pilot becomes the basis for scaling only after describing the conditions of applicability and re-checking. |
| Openness by default | Metadata and results are as open as law, security and ethics allow. |
| Scientific freedom | The Register retains competing hypotheses and status of the dispute; the administrative status does not declare scientific truth. |
SECTION 08
Target architecture
Three levels link institutions, programs, and evidence.
| Level | Function |
|---|---|
| I. Institutional level | Profile institutional contours, scientific schools, departments, territorial centers, laboratories, CSP, collections and personnel programs. |
| II. Programme level | Mission programs, projects, consortia, polygons, agreements, resources, timelines, risks and outcome indicators. |
| III. Register level | 16 academic registers, a single core of identifiers, classifiers, passports, evidence, versions, and access. |
The Federal Principle
- Institutions retain responsibility for primary data and domain expertise.
- A single academic core specifies identifiers, classifiers, and trust procedures.
- Metadata is indexed centrally; private or big data can remain with the owner.
- The platform operator provides accessibility and integration, but does not change the scientific conclusions.
SECTION 09
Institute infrastructure: 19 contours
These are project competency profiles. They can be designed as new institutions, network centers or inter-institutional programs after a separate decision.
| Cluster | Institutional contours |
|---|---|
| A. Earth System | 01 Earth systems and geodynamics; 02 atmosphere and climate; 03 hydrosphere and water resources; 04 soil and land use; 05 biodiversity and biogeocenoses. |
| B. Ecosystems and health | 06 Forests and landscapes; 07 Oceans and cryospheres; 08 Human ecology and public health; 09 Agrobiotechnologies and food. |
| C. Environmental technologies | 10 Energy; 11 materials and chemical technologies; 12 cities, construction and infrastructure; 13 Transport and Logistics; 14 Robotics and Aerospace Monitoring. |
| D. Digital management | 15 Mathematics, AI and digital twins; 16 Economics and Management; 17 Law, Standards and Security. |
| E. Civilization and continuity | 18 education, culture and civilization studies; 19 heritage, archives and knowledge management. |
Obligatory common platforms
- a collective use center and metrological service;
- unified library-archival and publishing infrastructure;
- computing center, data storage and geoinformation circuit;
- engineering and design and experimental production base;
- academic postgraduate studies, basic departments and school of scientific leaders;
- field service, stations, expeditions and long-term monitoring.
SECTION 10
Missionary programs
The institutional contours are unified around the measurable problem of territory, not just discipline.
| Code | Programme | Focus |
|---|---|---|
| MP-01 | Water and swimming pools | Water quality, hydrological regime, sources of pollution, water supply, restoration of rivers and swamps. |
| MP-02 | Soils and productive landscapes | Degradation, erosion, fertility, carbon storage, reclamation and sustainable land use. |
| MP-03 | Biodiversity and ecosystem connectivity | Inventory, protection of key territories, restoration of populations and ecological corridors. |
| MP-04 | Climatic adaptation | Extreme events, forest fires, permafrost, coastal risks, sustainability of cities and infrastructure. |
| MP-05 | Industrial areas and cities | Accumulated damage, waste, air, water, materials, energy efficiency and safe conversion. |
| MP-06 | Environment health and food sustainability | Environmental health, food safety, agroecosystems and risk prevention. |
SECTION 11
Academic registers: 16 domains
Not an archive of lists, but a linked infrastructure of identity, origin, and evidence.
| Code | Register | Substantive content |
|---|---|---|
| AR-01 | Organizations and units | Academy, branches, centers, institutes, laboratories, stations, branches; legal status, profile and powers. |
| AR-02 | Researchers and collectives | Competences, qualifications, scientific schools, project and expert role, conflicts of interest. |
| AR-03 | Councils, schools and consortia | Councils, commissions, interdisciplinary platforms and project consortia. |
| AR-04 | Programs and projects | Problem, hypotheses, performers, stages, dependencies, results, timing, and status. |
| AR-05 | Infrastructure and equipment | Laboratories, installations, ranges, ships, stations, CSPs, calibration and availability. |
| AR-06 | Funding and commitments | Sources of funds, limits, contracts, deposits, co-financing and performance control. |
| AR-07 | Methods and standards | Measurement methods, protocols, quality standards, dictionaries, ontologies, versions and applicability. |
| AR-08 | Collections and samples | Biological, genetic, geological, soil and other collections; origin and preservation. |
SECTION 11 • CONTINUATION
Registers of scientific knowledge and practical action
| Code | Register | Substantive content |
|---|---|---|
| AR-09 | Territories and ecosystems | Boundaries, system type, initial state, mode of use, loads and responsible. |
| AR-10 | Monitoring and Measurements | Observation points, sensors, series, periodicity, calibration, quality, omissions and uncertainty. |
| AR-11 | Data, models and software | Sources, structure, versions, licenses, inputs and outputs, limitations and validation. |
| AR-12 | Publications and archives | Articles, reports, dissertations, maps, field journals, archival sources and peer review. |
| AR-13 | Technology and Pilots | Scientific basis, developer, readiness, testing, safety and scaling. |
| AR-14 | Rights, Licenses and Access | Patents, programs, databases, know-how, rights holders and mode of use. |
| AR-15 | Risks, scenarios and recommendations | Risk sources, horizon, probability, uncertainty, scenarios and recommendation status. |
| AR-16 | Activities and Confirmed Effects | Source line, target, territory, resources, event, indicators, result and independent verification. |
SECTION 12
Unified object passport and link graph
Each record receives a permanent identifier, origin, version, and verifiable relationship with other objects.
| Block | Mandatory content |
|---|---|
| 1. Identification | Code, type, official and short name, synonyms, classifiers. |
| 2. Responsibility | Record holder, primary data custodian, supervisor, update operator, expert and reviewer. |
| 3. Scientific content | Problem, subject, purpose, hypothesis, discipline, applicability, and limitations. |
| 4. Space and Time | Territory, coordinates, scale, period, dates of creation and rechecking. |
| 5. Methodology | Methodology and version, equipment, conditions, units, calibration and quality control. |
| 6. Origin | Primary source, authorship, data, checksums, conversions, peer review and reproducibility. |
| 7. Quality | Completeness, accuracy, error, omissions, assumptions, and uncertainty. |
| 8. Contacts | Organizations, people, projects, territories, observations, data, publications, technologies, risks and indicators. |
| 9. Law and Ethics | Copyright holder, license, access, personal and sensitive data, security. |
| 10. Status and version | Record status, change grounds, previous version, replacement, signature and date. |
Compatibility of identifiers
- ORCID - for the stable identification of researchers and the connection with their contribution. [D2]
- ROR - for the open identification of research organizations. [D3]
- DOI/DataCite — for publications, datasets, models and other research results. [D4]
- An internal academic identifier does not replace external identifiers, but links them together in a single graph.
SECTION 13
Evidence, status and life cycle
The register records the quality of the procedure and the origin of the information, but does not declare the scientific truth an administrative decision.
| Parameter | Question to be checked |
|---|---|
| Origin | Is the author, source and custodian of the primary materials known? |
| Method | Are the methods, version, equipment and conditions for obtaining the result determined? |
| Quality | Are completeness, error, uncertainty and control indicated? |
| Verification | Was there an internal, external, or reproducible test? |
| Relevance | Does the date, territory and scope of the claimed scope correspond? |
Recording Life Cycle
Project → Presented → Technically verified → Expertly considered → Ongoing → Requires updating → replaced → Archival
- Additional statuses: challenged, restricted in use, withdrawn.
- The fix creates a new version; history and reasons for the change persist.
- The author of the result can not be its only examiner.
- The recipient of the financing does not confirm the final social or environmental effect alone.
- Principles FAIR apply to metadata and data: findability, availability, compatibility, and reuse. [D1]
SECTION 14
System Management
Separation of scientific, regulatory, technical, operational and verification responsibilities.
| Participant | Credentials |
|---|---|
| the Higher Academic Council | Defines missions and scientific priorities; approves interdisciplinary programs. |
| Scientific and Methodological Council | Approves standards of evidence, classifiers, methods and rules of examination. |
| the Board of Registry Owners | Manage domains, data requirements and update procedures. |
| Platform Operator | Provides operation, integration, availability, protection, journaling and reservation. |
| Institutions and regional nodes | Create, store and update primary information; bear scientific responsibility. |
| Data Curators | Control the completeness, quality of metadata and timing of updating. |
| Independent experts | Check methods, results and claimed effects; independent of the project executor. |
| Ethics and Security Committee | Defines sensitive, personal, genetic and dual-use data. |
| Audit of registers | Verifies authority, compliance with procedures and the immutability of the history of records. |
SECTION 15
Roles in the project ecosystem
Integrations are described as the proposed distribution of functions; legal powers are fixed by separate documents.
| Contour | Proposed function |
|---|---|
| Academic Registers | Canonical identification, origin, techniques, expert statuses and evidence. |
| EQUILIBRIUM | Semantic integration, graph connections, monitoring, analytics, projections, and digital twins; the model is separate from the fact. |
| SFERA | Open and partner portal, initiatives, competitions, communication and knowledge dissemination. |
| ECO-PPA | Outline of software agreements: baseline, target, commitments, resources, indicators, report and verification. |
| SPECZASHCHITA | Pilot performance, production cooperation, organization of tests and transfer of actual data. |
SECTION 16
Data, rights, ethics and security
Openness should be combined with protected access modes and responsibility for primary information.
| Mode | Application |
|---|---|
| Open | Public metadata, publications, general indicators, open datasets and methodologies. |
| Academically Limited | The data is available to verified researchers on terms of use and citation. |
| Service | Materials of current examination, design and internal management. |
| Confidential | Commercial secrecy, personal data, contractual restrictions and sensitive technologies. |
| Special | Genetic data, dual-use data, biosecurity and other regimes by law. |
- Right. For data, methods, software and technologies, the author, copyright holder, license and permissible use are fixed.
- Origin. Files have checksums, versions, timestamps, and conversion logs.
- Ethics. Consent, minimization of personal data, protection of vulnerable groups and work with biomaterials are regulated.
- Security. Access is built on roles and attributes; critical operations are signed and logged.
- Appeal. The author or organization may challenge the expert status; the dispute is maintained as a separate object with evidence of the parties.
SECTION 17
Financial model
Different types of activities require different funding horizons and rules.
| Contour | Purpose |
|---|---|
| Basic institutional | Scientific schools, core staff, archives, collections, long series of observations and basic laboratories. |
| Infrastructure | Unique installations, CPU, calculations, expeditions, stations, repair and life cycle of equipment. |
| Competitive software | Mission Studies and Inter-Institutional Programs with Independent Expertise. |
| Project agreement | Pilots and implementation through ECO-PPA: objectives, baseline, commitments, resources, performance and verification. |
| Co-financing | Regions, companies, foundations and philanthropists - in case of a transparent conflict of interest and the publication of conditions. |
| Commercialization | Licenses, services, devices and technologies; revenue does not substitute for scientific evaluation and does not close the mandatory metadata. |
SECTION 18
Pilot launch
The pilot checks not only the software, but also the institutional rules of trust.
| Step | Result |
|---|---|
| 1. Territories | Choose 3–5 territories of different types: urban agglomeration, industrial hub, river basin, agricultural and natural landscape. |
| 2. Reference line | Agree on the territory passport, key indicators, data sources, quality and observation period. |
| 3. Inventory | Describe institutions, experts, laboratories, facilities, data, methods, and existing projects. |
| 4. Challenges | Approve 3–5 priority problems with hypotheses, risks and verifiable goals. |
| 5. Registry Core | Start AR-01, 02, 04, 07, 09, 10, 11, 12, 13 and 16 as a minimum sufficient set. |
| 6. Consortiums | Form inter-institutional teams, data owners and independent reviewers. |
| 7. Public result | Open maps of territories, methods, project progress, indicators and verification reports. |
Pilot exit in 12 months
- approved regulations and passport records;
- A working metadata directory and link graph;
- the first 10 registers with responsible owners;
- portfolio of mission projects in pilot territories;
- at least two completed independent verification cycles;
- public report on data quality, duplicates, gaps and scaling solutions.
SECTION 19
Road map for 36 months
Scaling follows the rule check, not precedes it.
| Timeframe | Stage | Result |
|---|---|---|
| 0–3 months | Normative design | Concept, advice and operator; provisions; ontology; identifiers; passport; evidence; pilot criteria. |
| 4–6 months | Inventory and prototype | Historical and modern organizations; data owners; classifiers; prototype cards and integrations. |
| 7–12 months | MVP and pilot territories | The first 10 registers; consortia; baseline; observations; projects; independent verification; public portal. |
| 13–24 months | Technological contour | All 16 Registers; CCP; rights; financing; models; ECO-PPA; SPECZASHCHITA; repeated measurements. |
| 25–36 months | Scaling | New institutions and regions; regulatory consolidation; international interoperability; sustainable financing; audit. |
SECTION 20
Outcome indicators
KPI measure the quality of the scientific and management contour, and not the formal completeness of the base.
| Area of work | Indicator |
|---|---|
| Traceability | ≥ 90% active records have source, owner, method/base and version history. |
| Identification | ≥ 95% organizations, people and results are associated with sustainable external or internal identifiers. |
| Relevance | ≥ 85% records are updated within the domain deadline; delays are visible publicly or to the auditor. |
| Independent verification | 100% declared end effects have an external inspection and proof package. |
| Reuse | Increasing number of projects reusing data, methods and infrastructure of other institutions. |
| Inter-institutional connectivity | The share of programs with the participation of ≥ 3 independent institutional contours and territorial unit. |
| Infrastructure | CPU loading, open access share time, standby time and operation cost. |
| Scaling | The number of solutions reproduced in the second territory with a confirmed effect. |
| Workforce | Trained researchers, data engineers, curators and independent verifiers. |
SECTION 21
Risks and controls
The key threats are at the intersection of science, management, data and financing.
| Risk | Level | Control measure |
|---|---|---|
| Politicization of scientific assessment | High | Independent councils, publication of minority opinions, appeal, separation of scientific and administrative roles. |
| Bureaucratization | High | Minimum passport, automatic inheritance of metadata, measurement of time to maintain and remove unclaimed fields. |
| Duplication of systems | Medium | Integration audit, ROR/ORCID/DOI, metadata directory instead of copying all data. |
| Closed Expert Circle | High | Rotation, open criteria, conflict of interest, external reviewers and publication of decision statistics. |
| Formal KPI | High | Focus on reuse, reproducibility, and confirmed effect rather than number of records. |
| Disputes about IP | Medium | Rights and licenses prior to the start of the project; model agreements; separate register AR-14. |
| Sensitive data | High | Access classification, minimization, audit, protected computing and ethical expertise. |
| Unstable funding | High | Multi-year commitments to basic infrastructure and separate project accounting. |
SECTION 22
Launch Solutions
Proposed package of the first management meeting.
| № | Draft decision |
|---|---|
| 01 | Approve the concept and the legal reservation of the inheritance without a declaration of succession. |
| 02 | Approve the principles: federality, evidence, scientific freedom, versions, independent verification and openness by default. |
| 03 | To form the Higher Academic and Scientific-Methodological Councils; to approve the rules of conflict of interest. |
| 04 | To appoint the operator and owners of 16 domain registries; to fix the operator’s non-interference in scientific conclusions. |
| 05 | Approve classifiers of the first level, a single passport of the object and the model of evidence. |
| 06 | Select pilot territories, institutes and independent verifiers; appoint the owners of the baseline. |
| 07 | Approve the budget for 12 months, security audit, data rights and public reporting. |
| 08 | Assign a control point through 6 months and scaling decision through 12 months. |
Result
The task of the project is not to collect another database and not to reproduce the historical vertical. The task is to restore the coherence of science: from school and institute to territory, technology and testable effect.
SECTION 23
Annex A. Types of historical register entities
The historical layer requires a particularly strict distinction of organizational forms.
| Type | Definition for registry |
|---|---|
| Institute | Permanent Scientific Organization. |
| Scientific Center | A territorial or problem complex of several organizations. |
| Office | Management body on disciplinary or territorial principle. |
| Branch | A territorial subdivision or historical association of institutions; meaning depends on the period. |
| Scientific Council | Coordinating body without a mandatory own research base. |
| Commission | Permanent or temporary expert body. |
| Expedition | A temporary research program or organizational unit. |
| Station / Observatory | Scientific object or specialized institution; type is fixed separately. |
| Design Bureau | Engineering development and preparation of implementation. |
| Experienced factory | Production and verification of prototypes. |
| Archive / Library | Storage, description and provision of scientific heritage. |
SECTION 24
Annex B. Sources and standards
Historical facts are based on primary and official materials; the digital model is based on open international principles of identification and data.
[H1] Statute of the Academy of Sciences USSR 1963 — digitized primary text
https://opentextnn.ru/old/history/historiografy/institut/ran/index.html%40id%3D3878
[H2] RAS: the history of the Academy in the Soviet period
https://www.ras.ru/about/history/sovietcountry.aspx
[H3] RAS: Official Status and Succession
https://www.ras.ru/about.aspx
[H4] SB RAS: history and education decree
https://web.sbras.ru/ru/cmn/general
[H5] UrO RAS: historical background
https://uran.ru/about/hist
[H6] DVO RAS: official history
https://new.ras.ru/structures/regionalnye-otdeleniya-ran/dalnevostochnoe-otdelenie-ran/
[H7] Archive of the Russian Academy of Sciences: history of the institution
https://www.arran.ru/node/3
[H8] BEN RAS: the history of the academic library network
https://www.benran.ru/about-library/library-history/
[D1] GO FAIR: FAIR Principles
https://www.gofair.us/fair-principles
[D2] ORCID: Persistent Investigator Identifiers
https://info.orcid.org/what-is-orcid/
[D3] ROR: open identifiers of research organizations
https://ror.org/about/
[D4] DataCite: persistent research results identifiers
https://datacite.org/
Source materials
Originals and versions of the document
- Академическая_инфраструктура_Возрождение_Земли.docxDOCX · main document
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Revival of the EarthRebirth_Earth_Academic_Registries.pptx · web text+
Institutional infrastructure and academic registers
Mission → Institutes → Program → Evidence → Confirmed Effect
Heritage as a source of principles,
and not the legal restoration of the USSR Academy of Sciences
Knowledge does not yet form the contour of action
PROJECT HYPOTHESIS
The gap arises not only because of a lack of research, but between knowledge, decision and result.
Institutions
Methods and data
Competencies and equipment are described locally
Difficult to compare origin and quality
Request for territory
Effect
It rarely becomes an inter-institutional program.
not always associated with the baseline and verification
Objective: Objective → Knowledge → solution → measurable effect → independent verification
What worked in the academic model USSR
HISTORICAL FACTS
The strong point was the connected infrastructure, not a separate organization.
General Meeting
and Bureau
STRATEGY
Sections, offices
and scientific advice
SCIENCE
Regional offices
and research centres
TERRITORIES
Institutes, laboratories,
Stations and Expeditions
EXECUTION
Installations, calculations,
libraries, archives, personnel
GENERAL BASE
Structure and names changed by periods - the registry stores dates and conversions
Preserve principles — change the model
DRAFT RECOMMENDATION
HERITAGE
NEW ENVIRONMENT
PROTECTORS
Save
Modernize
Do not reproduce
• scientific schools
• long horizon
• interdisciplinary
• territorial bases
• General installations
• federated network
• open identifiers
• compatible data
• independent examination
• transparent financing
• administrative monopoly
• politicization of evaluation
• closed appointments
• opacity of resources
• formal KPI
The modern system borrows connectivity — and introduces verifiable rules of trust.
Mission "Rebirth of the Earth"
PROJECT OFFER
Combine scientific activities around measurable restoration of life systems.
Natural systems
Sustainability of Territories
land, water, forests, biodiversity
Climate and technological risks
Health and safety
Proven Scaling
Environmental quality and food sustainability
decisions are postponed only after re-checking
Architecture of three levels
PROJECT OFFER
Institutions create knowledge, programs turn it into action, and registries provide trust.
INSTITUTES
Personnel • Research • Laboratories • Schools • Standards
PROGRAMMES
Tasks • consortia • polygons • resources • implementation
III
REGISTERS
IDs • Communications • evidence • Version • Access
Integrations: EQUILIBRIUM • SFERA • ECO-PPA • SPECZASHCHITA
Network of institutes: 19 functional contours
PROJECT OFFER
geodynamics • climate • water • soil • biodiversity
Earth System
Forests • Ocean • Health • Food
Ecosystems and health
Not necessarily 19 new legal entities is a network of competencies, centers and programs.
energy • materials • cities • transport • monitoring
Environmental technologies
Mathematics • AI • economy • Law • Security
Digital management
The shape of each contour is approved separately.
Education • Culture • Archives • Knowledge Management
Continuity
Common base: CCC • calculations • Archives • Engineering • Personnel • Field Networks
Academic Registers - Trust Infrastructure
PROJECT OFFER
16 domain registries work as a single knowledge graph, not as a set of tables.
AR-01—04
AR-05—08
Institutions
Resources and rules
organizations • researchers • tips • programs
Equipment • financing • methods • Collections
AR-09—12
AR-13—16
Scientific knowledge
Practical Action
Territory • monitoring • data • publications
Technology • Law • Risks • Confirmed effect
Unified digital passport of the object
PROJECT OFFER
Each object receives a verifiable, linked, and versioned history.
LINKS
• projects • territories
IDENTITY
PROOF
ID • type • status
source • method • data
PASSPORT
OBJECT
RESPONSIBILITY
RIGHTS AND RISKS
Owner • Keeper
Access • License • Ethics
VERSION
history • signature • substitution
ORCID • ROR • DOI/DataCite + Internal Academic ID
From the problem of territory to a scalable solution
PROJECT PROCESS
The register links the initial state, the scientific task, the pilot and the proven result.
Profile
Challenge
Consortium
Pilot
Validation
Status
and restrictions
Objective
and measurement
Competences
and resources
Protocol
and control
effect
and scale
Scaling is allowed only after independent verification and description of the conditions of applicability.
Managing without conflict of roles
PROJECT OFFER
Strategy, execution, data and independent verification are separated.
Academic Council
Priorities and Scientific Integrity
KEY RULE
Registry owners
semantics, quality and actualization
The operator does not change the scientific conclusion
Program Office
portfolio, contracts and stage control
It provides identifiers, availability, protection, and version log.
The effect is confirmed by the independent side.
Independent Panels
Validation, appeals and conflict of interest
Territorial Councils
request, polygons and implementation
Pilot for 12 months
PROJECT OFFER
3–5 Territories
Different natural and economic conditions
Single reference line
Passports, indicators, sources and quality
months to prove the working capacity of the mechanism - not to create a big bureaucracy
5 priority calls
Hypotheses and measurable goals
MVP 10
Owners, protocols and link graph
Independent verification
public opinion and decision on the scale of
Output: Metadata directory • 10 Registries • Consortiums • Public Quality Report
Road map for 36 months
PROJECT OFFER
Scaling begins only after quality control points.
7–12
13–24
25–36
CONCEPT
PROTOTIP
MVP
Fields
MASSHTAB
Advice • operator • ontology
Regulations • passport • pilots
10 Registries • Consortiums
Tests • Integration • Audit
standards • regions • stability
Checkpoint 12 Months: Data Owners + Update + independent examination + Re-use
Launch decision
PROPOSED SOLUTIONS
Design and piloting are now required.
Approve the concept and basic principles
PACKAGE OF THE FIRST MEETING
RECONSTRUCTION
RELATIONSHIP
SCIENCE
Appointing an Employer and Academic Council
Define operator 16 academic registers
Approve passport, classifiers and data policy
the School and Institute
to the territory, technology
and testable effect
Select a pilot budget and independent audit
Sergey Leonidovich • working version • 26.08.2026
Sources indicated in the presentation 12
- OpenAI ImageGen, generated for this deck, 2026-08-26.
- Project synthesis prepared for this deck, 2026.
- [/Sources]
- The Charter of the Academy of Sciences USSR 1963 years: https://opentextnn.ru/old/history/historiografy/institut/ran/index.html%40id%3D3878
- RAS, history of the Academy in the Soviet period: https://www.ras.ru/about/history/sovietcountry.aspx
- SB RAS, official historical reference: https://web.sbras.ru/ru/cmn/general
- BEN RAS, history of the academic library network: https://www.benran.ru/about-library/library-history/
- GO FAIR, FAIR Principles: https://www.gofair.us/fair-principles
- Archive RAS: https://db.isaran.ru/
- ORCID: https://info.orcid.org/what-is-orcid/
- ROR: https://ror.org/about/
- DataCite: https://datacite.org/



