GCRI · Registry
記録の来歴
Provenance is the account of where a record came from: who issued it, when, by what method, from which sources and through which transformations it passed before reaching the reader. Without it a record cannot be checked, weighed or corrected, only trusted or ignored. This page sets out how provenance is captured and expressed, why lineage chains break, and what the people who rely on registry records need to see before they do.
Record provenance on the record.
Record provenance: how the risk develops.
Issuer, date, method and source lineage. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Lineage breaks at hand-offs
Records pass between spreadsheets, databases, aggregators and exports. Each step can drop the issuer, the source reference or the method note. Once the chain is cut, later copies look authoritative while nothing connects them to what they were derived from.
Issuer ambiguity
Organisation names change, merge and are spelt many ways, and people share names. Without persistent identifiers for issuers, two bodies are recorded as one or one as two, and responsibility for an assertion can no longer be established.
Method drift
The method behind a field changes, through a new coding rule, a new instrument or a revised definition, while the field name stays the same. A series then joins incompatible values, and no reader can see where the join is.
Laundering through aggregation
An unsourced claim is copied by an aggregator, quoted in a report and indexed by search engines. Each reuse adds apparent authority and removes context, until the claim is cited back to its origin as if it were independent confirmation.
How record provenance is modelled, measured and tested.
モデル、その仮定、データ、不確実性を、科学者やエンジニアが確認する形で示します。構造は公表された手法に従っています。描かれた値は例示であり、知見ではありません。
データセットと来歴
The data classes behind record provenance and what is recorded about each before it is used.
| データ区分 | 来歴を記録済み | 解像度を明示 | ライセンス確認済み |
|---|---|---|---|
| 衛星画像、光学とレーダー | センサー、処理レベル、取得日 | 画素サイズと再訪周期 | シーンごと |
| 再解析と気候モデルの出力 | モデル、実験、メンバー、バージョン | グリッドと時間ステップ | リリースごと |
| 現地センサーと計測器 | 観測所、機器、校正記録 | 地点とサンプリング・レート | ネットワークごと |
| 人口と資産のエクスポージャー | 手法、作成年、入力ソース | セルの大きさと単位 | リリースごと |
| 境界と参照地理 | 作成者、版、日付 | 縮尺 | 版ごと |
- 系譜
- 情報源から図までの W3C PROV 記録
- 原則
- FAIR：見つけやすく、アクセス可能で、相互運用でき、再利用できる
- ギャップ
- 欠損として表示し、黙って埋めることはしない
Provenance lets a reader trace a figure in any domain to its source.
Provenance underpins every edition of 報告書. It follows W3C PROV-O (2013) and the record identifiers of NS-3 in the proposed Nexus Standards.
- Gaps in a lineage chain.
- Source agencies’ own provenance records.
何を、どの程度うまく測定しているか。
各指標には、その単位、更新頻度、背後にある出典の種類、値が持つことになるエビデンスのラベルが付いています。値は表示しません：プログラムが自らの権限のもとで値を提供します。
| 指標 | 単位 | 周期 | 出典の種類 | ラベル |
|---|---|---|---|---|
| Records with complete issuer, date and method | share of records | 月次 | Schema validation | 観測 |
| Lineage depth to a primary source | number of derivation steps | per record | Provenance graph | 観測 |
| Unresolved source references | 件数 | 毎週 | Resolver checks | 観測 |
| Transformations without a recorded agent | 件数 | 月次 | Provenance graph audit | 観測 |
| Records with content hashes or signatures | share of records | 月次 | Integrity check | 観測 |
| Issuers with a persistent identifier | share of issuers | 四半期ごと | Identifier reconciliation | 観測 |
| Provenance inferred rather than declared | share of provenance statements | 四半期ごと | Curation review | 推定 |
エビデンスの出所。
名前の明示された公開データセットと機関の記録。それぞれにライセンス区分があります。合意に基づく出典は、その条件のもとでのみ使用し、再公開することはありません。
| 出典 | 提供するもの | ライセンス区分 |
|---|---|---|
| W3C PROV-O and PROV-DM | The standard vocabulary of entities, activities and agents for expressing provenance graphs | W3C document licence, free to implement |
| DataCite Metadata Schema | Creator, contributor, date, relation and related-identifier fields for research outputs | CC0 for metadata |
| ROR (Research Organization Registry) | Persistent identifiers for research organisations, with name variants, relationships and succession | CC0, no restrictions |
| ORCID public data file | Persistent identifiers for researchers, with linked works, affiliations and funding | CC0 |
| GLEIF Legal Entity Identifier data | Identifiers, legal names and parent relationships for legal entities | CC0, no restrictions |
| PREMIS Data Dictionary | Preservation metadata for events, agents and rights on digital objects | Free to use, maintained by the Library of Congress |
| RO-Crate | A specification for packaging research data with its provenance in JSON-LD | Open specification, attribution |
誰が決め、エビデンスが何に役立つか。
Registry prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| 誰が決定するか | 質問 | このページが提供するエビデンス |
|---|---|---|
| データ・スチュワード | Whether a record’s lineage is complete enough to publish or must be held for curation | Provenance completeness, unresolved references and transformations without a recorded agent |
| Journal and report editors | Whether a cited registry record can support a claim in a manuscript | Issuer identity, method, date and the depth of lineage to a primary source |
| 研究公正の担当者 | Whether an assertion was altered, misattributed or fabricated | Time-stamped provenance graph, content hashes and the full edit history |
| National statistics offices | Whether administrative or registry records can enter published statistics | Source lineage, method stability over time and documented transformations |
このトピックが生み出す成果物
- Record views listing issuer, issue date, method and source references for each assertion
- Provenance graphs tracing derived records back to their primary sources
- A provenance completeness check applied to every record before publication
- Method change notes marking where a field’s definition or instrument changed
What provenance research asks.
- What is the smallest set of facts that lets a reader judge a record’s origin?
- How much lineage should be captured automatically, and how much asserted by people?
- How can provenance survive when records are copied, transformed or merged?
- How do we record a source that cannot be disclosed?
- How can a lineage claim itself be verified rather than trusted?
How lineage is lost.
Lineage is usually lost at boundaries: when a dataset is exported to a spreadsheet, when a figure is retyped into a report, when two sources are merged without recording which value came from where. Each step can be innocent, yet together they produce numbers whose origin no one can reconstruct. Archival science calls the related principle respect for provenance: records keep their link to the body that created them and to their original order.
Modern provenance models describe three kinds of thing: entities such as datasets and reports, activities such as a model run or a review, and agents such as people, institutions and software. The W3C PROV family of specifications expresses these relationships in a form machines can read, and the Registry’s lineage design is intended to follow it, as described on provenance and attribution.
Capturing and checking lineage.
- 01
Issuer and authority
Each record names who issued it and under what authority, so a reader knows whose word it is.
- 02
Activity records
Transformations, model runs and reviews are recorded with their method version and date.
- 03
Integrity checks
Cryptographic hashes can show that a file has not changed since it was recorded, a technique from サイバーセキュリティと暗号.
- 04
限界
Provenance shows where a record came from, not whether its content is right. Lineage is only as complete as the steps that were captured, and self-declared provenance can be false. Restricted sources can be named but not inspected.
Where this page’s references lead.
このページの読解の基準となる機関と文書。状態と版は変わります。各リンクは発行機関へ移動します。
質問と回答。
What is the difference between provenance and a source?
What happens to records with incomplete provenance?
Does a digital signature make a record true?
Why do issuers need persistent identifiers?
Is provenance the same as citation?
What happens when a source is corrected?
Can provenance include restricted sources?
このページからエビデンスを提供する。
報告書 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.
- メールゲートウェイ GW-GCRIこのページから送信するエビデンス、訂正、事例、手法、レビュー、翻訳、プロファイルへの入力。このページのタグが付いて届くため、担当の編集者が受け取ります。
- Zenodoオープンな寄託寄託してコミュニティに提出するORCID iD を使って Zenodo に自分の記録を公開し、そこから Reports コミュニティに提出してください。キュレーターが審査し、DOI は引き続きあなたのものです。
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