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Academic Infrastructure of “Revival of the Earth”

Architecture of Academic Registers, Knowledge and Institutions of the “Revival of the Earth” programme.

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Architecture of Academic Registers, Knowledge and Institutions of the “Revival of the Earth” programme.

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Prepared for Sergey LeonidovichWorking 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.

№DecisionContents
1Approve FrameIt is not the legal restoration of the AN USSR, but a modern network based on its strong organizational principles.
2Appointing ownersThe Higher Academic Council, the Scientific and Methodological Council, the platform operator and the owners of domain registries.
3Run 16 registersUniform identifiers, object passports, rules of evidence, versions and communications.
4Choose a pilot3–5 Territories, 5 priority issues, a single baseline and independent verification.
5Consolidate the legal regimeData, rights, access, security, conflict of interest and appeals.
6Provide a long horizonSeparate 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]

LevelFunction
State ContourCouncil of Ministers USSR; prioritization and reporting of the Academy.
General MeetingThe highest body: the directions of science, elections, key organizational decisions.
PresidencyPlans, estimates, structure, specialization of institutions, coordination of councils and commissions.
Sections and officesDisciplinary development of science and management of the relevant network of institutions.
Scientific adviceInter-institutional and inter-agency complex problems; are not identical to research institutes.
Regional contoursDepartments, research centers and branches for the tasks of macroregions.
Research Institutes and UnitsInstitutions, 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 1963Branches
Physical, technical and mathematical sciencesMathematics; general physics and astronomy; nuclear physics; physical and technical problems of energy; mechanics and control processes.
Chemical-technological and biological sciencesGeneral and technical chemistry; physico-chemistry and technology of inorganic materials; biochemistry, biophysics and chemistry of physiologically active compounds; physiology; general biology.
Earth SciencesGeology, geophysics and geochemistry; oceanology, atmospheric physics and geography.
Social sciencesHistory; philosophy and law; economics; literature and language.

Territorial Logic

ContourValue
Central centresMoscow - 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 BranchIt was founded in 1957. Principles: comprehensiveness of research, practical implementation, training. Novosibirsk Akademgorodok is the core of a wide regional network. [H4]
Ural BranchBranch 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 BranchBranch in SB AN USSR → the Scientific Center 1970 years → the Department of 1987 years. Ocean, bioresources, geology, seismicity and macroregion development. [H]6]
Specialized centresPushchino, 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.

ContourComposition
ExperimentalUnique installations, observatories, polygons, stations, stationary, fleet, expeditions, collections.
ComputationalComputing centers and machine complexes for modeling, algorithms and collective access.
Engineering and InnovationSKB, design and technological institutes, experimental plants and experimental production.
Information and memoryLibraries, archives, museums, collections, catalogues, reference and bibliographic systems.
Publishing HouseEditorial and publishing board, magazines, publishing house "Science", printing houses, distribution.
Personnel and educationalPostgraduate studies, basic departments, universities, specialized schools and scientific seminars.
Territorial-householdAcademgorodok, 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.

ModeDecision
SaveLong horizon; scientific schools; fundamental research; interdisciplinary programs; regional bases; general installations; libraries and archives; science, engineering and education links.
ModernizeFederated network instead of a single departmental outline; open metadata standards; independent expertise; digital traceability; transparent funding; international interoperability.
Do not reproduceAdministrative 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.

PrinciplePractical rule
SystematicityThe decision is evaluated on a full set of interrelated implications, including the transfer of risk between environments and territories.
EvidenceSource, method, data, uncertainty and independent verification are recorded together with the conclusion.
TerritorialityPrograms start with a territory passport and a baseline, not pre-selected technology.
ReproducibilityThe pilot becomes the basis for scaling only after describing the conditions of applicability and re-checking.
Openness by defaultMetadata and results are as open as law, security and ethics allow.
Scientific freedomThe 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.

LevelFunction
I. Institutional levelProfile institutional contours, scientific schools, departments, territorial centers, laboratories, CSP, collections and personnel programs.
II. Programme levelMission programs, projects, consortia, polygons, agreements, resources, timelines, risks and outcome indicators.
III. Register level16 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.

ClusterInstitutional contours
A. Earth System01 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 health06 Forests and landscapes; 07 Oceans and cryospheres; 08 Human ecology and public health; 09 Agrobiotechnologies and food.
C. Environmental technologies10 Energy; 11 materials and chemical technologies; 12 cities, construction and infrastructure; 13 Transport and Logistics; 14 Robotics and Aerospace Monitoring.
D. Digital management15 Mathematics, AI and digital twins; 16 Economics and Management; 17 Law, Standards and Security.
E. Civilization and continuity18 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.

CodeProgrammeFocus
MP-01Water and swimming poolsWater quality, hydrological regime, sources of pollution, water supply, restoration of rivers and swamps.
MP-02Soils and productive landscapesDegradation, erosion, fertility, carbon storage, reclamation and sustainable land use.
MP-03Biodiversity and ecosystem connectivityInventory, protection of key territories, restoration of populations and ecological corridors.
MP-04Climatic adaptationExtreme events, forest fires, permafrost, coastal risks, sustainability of cities and infrastructure.
MP-05Industrial areas and citiesAccumulated damage, waste, air, water, materials, energy efficiency and safe conversion.
MP-06Environment health and food sustainabilityEnvironmental 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.

CodeRegisterSubstantive content
AR-01Organizations and unitsAcademy, branches, centers, institutes, laboratories, stations, branches; legal status, profile and powers.
AR-02Researchers and collectivesCompetences, qualifications, scientific schools, project and expert role, conflicts of interest.
AR-03Councils, schools and consortiaCouncils, commissions, interdisciplinary platforms and project consortia.
AR-04Programs and projectsProblem, hypotheses, performers, stages, dependencies, results, timing, and status.
AR-05Infrastructure and equipmentLaboratories, installations, ranges, ships, stations, CSPs, calibration and availability.
AR-06Funding and commitmentsSources of funds, limits, contracts, deposits, co-financing and performance control.
AR-07Methods and standardsMeasurement methods, protocols, quality standards, dictionaries, ontologies, versions and applicability.
AR-08Collections and samplesBiological, genetic, geological, soil and other collections; origin and preservation.

SECTION 11 • CONTINUATION

Registers of scientific knowledge and practical action

CodeRegisterSubstantive content
AR-09Territories and ecosystemsBoundaries, system type, initial state, mode of use, loads and responsible.
AR-10Monitoring and MeasurementsObservation points, sensors, series, periodicity, calibration, quality, omissions and uncertainty.
AR-11Data, models and softwareSources, structure, versions, licenses, inputs and outputs, limitations and validation.
AR-12Publications and archivesArticles, reports, dissertations, maps, field journals, archival sources and peer review.
AR-13Technology and PilotsScientific basis, developer, readiness, testing, safety and scaling.
AR-14Rights, Licenses and AccessPatents, programs, databases, know-how, rights holders and mode of use.
AR-15Risks, scenarios and recommendationsRisk sources, horizon, probability, uncertainty, scenarios and recommendation status.
AR-16Activities and Confirmed EffectsSource 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.

BlockMandatory content
1. IdentificationCode, type, official and short name, synonyms, classifiers.
2. ResponsibilityRecord holder, primary data custodian, supervisor, update operator, expert and reviewer.
3. Scientific contentProblem, subject, purpose, hypothesis, discipline, applicability, and limitations.
4. Space and TimeTerritory, coordinates, scale, period, dates of creation and rechecking.
5. MethodologyMethodology and version, equipment, conditions, units, calibration and quality control.
6. OriginPrimary source, authorship, data, checksums, conversions, peer review and reproducibility.
7. QualityCompleteness, accuracy, error, omissions, assumptions, and uncertainty.
8. ContactsOrganizations, people, projects, territories, observations, data, publications, technologies, risks and indicators.
9. Law and EthicsCopyright holder, license, access, personal and sensitive data, security.
10. Status and versionRecord 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.

ParameterQuestion to be checked
OriginIs the author, source and custodian of the primary materials known?
MethodAre the methods, version, equipment and conditions for obtaining the result determined?
QualityAre completeness, error, uncertainty and control indicated?
VerificationWas there an internal, external, or reproducible test?
RelevanceDoes 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.

ParticipantCredentials
the Higher Academic CouncilDefines missions and scientific priorities; approves interdisciplinary programs.
Scientific and Methodological CouncilApproves standards of evidence, classifiers, methods and rules of examination.
the Board of Registry OwnersManage domains, data requirements and update procedures.
Platform OperatorProvides operation, integration, availability, protection, journaling and reservation.
Institutions and regional nodesCreate, store and update primary information; bear scientific responsibility.
Data CuratorsControl the completeness, quality of metadata and timing of updating.
Independent expertsCheck methods, results and claimed effects; independent of the project executor.
Ethics and Security CommitteeDefines sensitive, personal, genetic and dual-use data.
Audit of registersVerifies 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.

ContourProposed function
Academic RegistersCanonical identification, origin, techniques, expert statuses and evidence.
EQUILIBRIUMSemantic integration, graph connections, monitoring, analytics, projections, and digital twins; the model is separate from the fact.
SFERAOpen and partner portal, initiatives, competitions, communication and knowledge dissemination.
ECO-PPAOutline of software agreements: baseline, target, commitments, resources, indicators, report and verification.
SPECZASHCHITAPilot 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.

ModeApplication
OpenPublic metadata, publications, general indicators, open datasets and methodologies.
Academically LimitedThe data is available to verified researchers on terms of use and citation.
ServiceMaterials of current examination, design and internal management.
ConfidentialCommercial secrecy, personal data, contractual restrictions and sensitive technologies.
SpecialGenetic 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.

ContourPurpose
Basic institutionalScientific schools, core staff, archives, collections, long series of observations and basic laboratories.
InfrastructureUnique installations, CPU, calculations, expeditions, stations, repair and life cycle of equipment.
Competitive softwareMission Studies and Inter-Institutional Programs with Independent Expertise.
Project agreementPilots and implementation through ECO-PPA: objectives, baseline, commitments, resources, performance and verification.
Co-financingRegions, companies, foundations and philanthropists - in case of a transparent conflict of interest and the publication of conditions.
CommercializationLicenses, 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.

StepResult
1. TerritoriesChoose 3–5 territories of different types: urban agglomeration, industrial hub, river basin, agricultural and natural landscape.
2. Reference lineAgree on the territory passport, key indicators, data sources, quality and observation period.
3. InventoryDescribe institutions, experts, laboratories, facilities, data, methods, and existing projects.
4. ChallengesApprove 3–5 priority problems with hypotheses, risks and verifiable goals.
5. Registry CoreStart AR-01, 02, 04, 07, 09, 10, 11, 12, 13 and 16 as a minimum sufficient set.
6. ConsortiumsForm inter-institutional teams, data owners and independent reviewers.
7. Public resultOpen 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.

TimeframeStageResult
0–3 monthsNormative designConcept, advice and operator; provisions; ontology; identifiers; passport; evidence; pilot criteria.
4–6 monthsInventory and prototypeHistorical and modern organizations; data owners; classifiers; prototype cards and integrations.
7–12 monthsMVP and pilot territoriesThe first 10 registers; consortia; baseline; observations; projects; independent verification; public portal.
13–24 monthsTechnological contourAll 16 Registers; CCP; rights; financing; models; ECO-PPA; SPECZASHCHITA; repeated measurements.
25–36 monthsScalingNew 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 workIndicator
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 verification100% declared end effects have an external inspection and proof package.
ReuseIncreasing number of projects reusing data, methods and infrastructure of other institutions.
Inter-institutional connectivityThe share of programs with the participation of ≥ 3 independent institutional contours and territorial unit.
InfrastructureCPU loading, open access share time, standby time and operation cost.
ScalingThe number of solutions reproduced in the second territory with a confirmed effect.
WorkforceTrained 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.

RiskLevelControl measure
Politicization of scientific assessmentHighIndependent councils, publication of minority opinions, appeal, separation of scientific and administrative roles.
BureaucratizationHighMinimum passport, automatic inheritance of metadata, measurement of time to maintain and remove unclaimed fields.
Duplication of systemsMediumIntegration audit, ROR/ORCID/DOI, metadata directory instead of copying all data.
Closed Expert CircleHighRotation, open criteria, conflict of interest, external reviewers and publication of decision statistics.
Formal KPIHighFocus on reuse, reproducibility, and confirmed effect rather than number of records.
Disputes about IPMediumRights and licenses prior to the start of the project; model agreements; separate register AR-14.
Sensitive dataHighAccess classification, minimization, audit, protected computing and ethical expertise.
Unstable fundingHighMulti-year commitments to basic infrastructure and separate project accounting.

SECTION 22

Launch Solutions

Proposed package of the first management meeting.

№Draft decision
01Approve the concept and the legal reservation of the inheritance without a declaration of succession.
02Approve the principles: federality, evidence, scientific freedom, versions, independent verification and openness by default.
03To form the Higher Academic and Scientific-Methodological Councils; to approve the rules of conflict of interest.
04To appoint the operator and owners of 16 domain registries; to fix the operator’s non-interference in scientific conclusions.
05Approve classifiers of the first level, a single passport of the object and the model of evidence.
06Select pilot territories, institutes and independent verifiers; appoint the owners of the baseline.
07Approve the budget for 12 months, security audit, data rights and public reporting.
08Assign 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.

TypeDefinition for registry
InstitutePermanent Scientific Organization.
Scientific CenterA territorial or problem complex of several organizations.
OfficeManagement body on disciplinary or territorial principle.
BranchA territorial subdivision or historical association of institutions; meaning depends on the period.
Scientific CouncilCoordinating body without a mandatory own research base.
CommissionPermanent or temporary expert body.
ExpeditionA temporary research program or organizational unit.
Station / ObservatoryScientific object or specialized institution; type is fixed separately.
Design BureauEngineering development and preparation of implementation.
Experienced factoryProduction and verification of prototypes.
Archive / LibraryStorage, 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/

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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/