GCRI · Foundry

Rekayasa data di Foundry

Data engineering decides whether evidence from different sectors can be combined at all. In this field it covers ingestion, validation, standardisation, provenance and stewardship: source passports, schemas and ontologies, frozen data cuts, and lineage that lets a correction reach every product built on the corrected source.

01Daftar

Data engineering at Foundry on the record.

Catatan metodeMetode STEM
  1. MetodeRekayasa data, interoperabilitas, dan pengelolaan data
  2. Diterapkan diFoundry
  3. Halaman kanonisSTEM Commons
02Permohonan

What data engineering, interoperability and stewardship does here.

Data engineering, interoperability and stewardship cover the pipelines, standards and governance that make data usable and trustworthy. They determine whether information from different sectors can be combined for joint penilaian risiko. In data and compute and methods and modelling, sound data engineering allows hazard, exposure and financial data to be linked consistently. It supports transparent and repeatable analysis of interconnected risk. The canonical description is on STEM Commons.

Validation at the ingest boundary

Each incoming batch is checked against its declared schema, units and code lists before it is accepted. Failures are quarantined with a reason, and the original is retained unchanged beside the standardised record.

Frozen data cuts for reproducible products

Indices and loss estimates are computed from versioned, immutable snapshots, so a product can be re-run months later from exactly the data that produced it.

Correction impact through lineage

When a source owner issues a correction, the lineage graph lists every derived table, map and index that depends on it, and those products are marked stale until recomputed.

03Metode dan bukti

How Data engineering at Foundry is modelled, measured and tested.

Model, asumsi, data, dan ketidakpastiannya, dalam bentuk yang akan diperiksa ilmuwan atau insinyur. Strukturnya mengikuti metode yang dipublikasikan. Nilai yang digambar bersifat ilustratif, bukan temuan.

Model, persamaan, dan asumsi

The model structure used for Data engineering at Foundry, the assumptions it makes and how each is tested.

Risiko elemen iRi = f(Hi, Ei, Vi, Ci)bahaya, keterpaparan, kerentanan, dan kapasitas penanggulangan
Kerugian tahunan yang diharapkanEAL = ∑k pk · Lkatas peristiwa k dengan probabilitas tahunan pk
Sistem terhubungxt+1 = A xt + B ut + εtA carries the couplings, u the shock, ε the error
AsumsiMengapa ini dibuatBagaimana ini diuji
Bahaya dan eksposur bersifat independen dalam satu peristiwaMenjaga integral kerugian tetap dapat dihitungBandingkan dengan pencocokan kopula pada catatan gabungan
Keterkaitan bersifat linear di dekat titik operasiMembiarkan guncangan merambat melalui AUji di luar rentang linear lalu bandingkan
Kurva kerentanan dapat dipindahkan antartempatKurva lokal jarang tersediaValidasi terhadap kerugian teramati jika tersedia
Masukan
dataset berversi dengan asal-usul yang tercatat
Keluaran
distribusi, bukan angka tunggal
Kode
dirilis bersama kartu model dan pengujiannya
Reproduksi
data, kode, lingkungan, dan seed yang sama
Formulasi risiko standar dan ruang keadaan; asumsi yang tercantum lazim bagi metode tersebut, dinyatakan untuk ditinjau, bukan hasil.
Prinsip panduan FAIR · GO FAIR dan FORCE11W3C PROV · World Wide Web ConsortiumPanduan penanganan ketidakpastian secara konsisten · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
04Data

Apa yang digunakan metode ini.

Datasets and records used by data engineering, interoperability and stewardship on this platform, with the role each plays and the label its values carry. Sources are listed in register sumber.

DataPeranLabel
Source passportsOwner, licence, cadence, authority class and limitsDINYATAKAN
Schemas and ontology shapesValidation at ingestDINYATAKAN
Pipeline run logsLineage and failure analysisTERAMATI
Published statistics and registersAuthoritative reference valuesStatistik terbitan
Catalogue metadata in DCAT and STACDiscovery and reuseDINYATAKAN
05Proses

Bagaimana proses berjalan.

Process explorer · Process

Data engineering at Foundry: Build, sign and accept

10 steps4 tahap2 gerbang

Proses

Data engineering at Foundry: Build, sign and accept

Misi yang diterima menjadi proyek siklus; hasil build dikunci, diverifikasi, dan ditandatangani, dan the Global Risks Forum (GRF) mencatat penerimaan untuk latihan, bukan izin untuk penerapan.

  1. 01 Permintaan dan sumber

    1. 01Misi yang diterima menjadi proyek siklusCatatan · Semesta ke FoundryMisi yang diterima menjadi proyek siklus dengan kasus keputusan.
    2. 02Kualifikasi sumber data dan sumber dayaLangkah · Global Centre for Risk and Innovation (GCRI)GCRI mengualifikasi sumber data dan tawaran sumber daya serta membangun model skenario. Tawaran bukanlah alokasi.
  2. 02 Pembangunan dan verifikasi

    1. 03Cuplikan sumberCatatan · NXS-FAC (cetak biru, pembangunan, dan penandatanganan)Cuplikan mematok commit, dependensi, dan versi generator.
    2. 04Kontrak pembangunanCatatan · NXS-FAC (cetak biru, pembangunan, dan penandatanganan)Kontrak pembangunan menyatakan jenis artefak, lingkungan, dan batas reproduktibilitas.
    3. 05Integrasi dan pembangunanModel · GCRIGCRI mengintegrasikan perangkat lunak dan data, menandatangani hasil pembangunan, serta menguji keamanan dan interoperabilitas.
    4. 06Rangkaian verifikasiGerbang · NXS-FAC (cetak biru, pembangunan, dan penandatanganan)Pemeriksaan wajib dan pemeriksaan anjuran tetap terpisah. Reproduktibilitas memerlukan masukan yang dipatok, nondeterminisme yang dinyatakan, dan pembangunan ulang yang independen.
  3. 03 Penandatanganan dan penerimaan

    1. 07Tandatangani artefak yang persisLangkah · NXS-FAC (cetak biru, pembangunan, dan penandatanganan)NXS-FAC membangun, mengatestasi, dan meminta tanda tangan melalui identitas penanda tangan yang terbatas cakupannya. NXS-FAC tidak menyimpan materi kunci.
    2. 08Penerimaan paketLangkah · NXS-NXQ (siklus hidup perangkat lunak, model, dan kapabilitas)NXS-NXQ menerima paket yang telah ditandatangani dan menyimpan bukti penerimaan yang mengikat tugas, kelas data, rangkaian evaluasi, dan masa berlaku.
  4. 04 Penerimaan

    1. 09Laporan Pembangunan IntiCatatan · GCRICore Build Report adalah catatan lanjut atau tidak lanjut. Universe menyusun Core dan memegang keputusan untuk latihan.
    2. 10G3 · Pembangunan diterima untuk latihanGerbang · The Global Risks ForumGRF mencatat apakah hasil pembangunan diterima untuk latihan. Hasil pembangunan atau kandidat rilis yang telah ditandatangani bukanlah izin untuk menerapkannya ke produksi.

Tahun program · NXS-FAC · UniverseDesigned programme process, not a record of operation. No cycle has run and every programme is at service level R0. A gate is a programme decision, never a public-authority approval, certification or deployment authorisation. The record order follows the Builds and Releases room lists of NXS-FAC.

06Validasi

Cara hasil diperiksa.

Pipelines are tested with automated quality checks, schema validation and lineage audits. Reconciliation against source sistem confirms completeness.

PemeriksaanCara pelaksanaannya
Reconciliation with the sourceRow counts, totals and keys are compared with the source system after each load
Schema and unit validationRecords are tested against shapes, controlled vocabularies and CF or SI units before acceptance
Lineage auditA sample of published figures is traced back to the original records and the transformation steps are re-run
Licence checkEvery source and derived product carries a licence that permits its intended use

Incompatible standards, missing metadata and restrictive licences block integration. Legacy systems and undocumented transformations introduce silent errors.

08Pengelolaan

Siapa yang memelihara metode ini.

Data dan Komputasi stewards data engineering, interoperability and stewardship for the Consortium and reviews how it is applied across platforms.

09Terhubung

Ke mana halaman ini mengarah di seluruh Konsorsium.

10Pertanyaan

Tanya jawab.

What are the limits of data engineering, interoperability and stewardship in this field?
Incompatible standards, missing metadata and restrictive licences block integration. Legacy systems and undocumented transformations introduce silent errors.
Bagaimana hasil diperiksa?
Pipelines are tested with automated quality checks, schema validation and lineage audits. Reconciliation against source systems confirms completeness.
Apakah nilai di halaman ini nyata?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
Di mana lagi metode ini diterapkan?
Observatory Halaman metode kanonis mencantumkan setiap platform yang menerapkannya.
LaporanBerkontribusi

Kontribusikan bukti dari halaman ini.

Laporan is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

GCRIFoundryPembangunan dan Kesiapan Foundry
Foundry

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