POD — Vision: FAIRVIEWABLE Long-Term Data Principles

Extending FAIR data principles to FAIRVIEWABLE — 12 requirements for truly long-term stable tools and datasets.

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Fairviewable Long-Term Vision — PDF (64 KB) — 1 page, Jonah License with CC0 Public Domain

Filename: evx-pod-vision-fairviewable-longterm-iv_llol_qqv1r5p8_2019m03d15-fig.pdf

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— Overview AI-generated by dv_ClaOp46Max_ExhH_2026m04d16 —Start—

Abstract

This single-page figure argues that the widely adopted FAIR data principles (Findable, Accessible, Interoperable, Reusable) are necessary but not sufficient for long-term use. The key critique: “‘leaky abstractions’ often bind interoperability to implementations, since sufficiently unambiguous specifications of complex systems exceed the verbosity of a well-written implementation.”

The figure proposes extending FAIR to FAIRVIEWABLE — 12 principles organized in three columns:

FAIR (established):

• Findable — by global stable ID or by search for useful metadata

• Accessible — by ID, open free protocols, indices; wall optional

• Interoperable — in FAIRVIEWABLE language, stable for all types

• Reusable — licensed, expert-bioreasoned, provenance in detail

VIEW (versioning and usability):

• Versionable — by consistent versioning to support stabilizing recursive subsets of (meta)data

• Individualizable — by free easy customizing of defaults and privacy for any types of groups

• Extensible — supported by tools for keeping namespaces clutter-free OLT

• Wearable — by easing the workload required to use, upkeep, own, and move to new contexts

ABLE (implementation):

• Admin-friendly — to facilitate support for diverse real-life user groups

• Backwards-compatible — so previously written code is always reproducible and just works

• Learnable — low entry-barrier to begin, develop, maintain by long-term stability, lowest complexity

• Efficient — adaptability to efficient performance in all cases; preempt requiring disruptive optimization

Key Concepts at a Glance

FAIRVIEWABLE	12 principles extending FAIR: Findable, Accessible, Interoperable, Reusable, Versionable, Individualizable, Extensible, Wearable, Admin-friendly, Backwards-compatible, Learnable, Efficient
Leaky abstractions	The problem that interoperability specifications often depend on specific implementations, undermining long-term stability
Wearable	A novel principle: the workload of using, maintaining, and migrating a tool or dataset should be minimized

Broader Significance (Claude’s Assessment)

The FAIRVIEWABLE extension addresses a real gap in the FAIR principles: FAIR was designed for data discoverability and reuse, not for the engineering requirements of long-term stable software. The additional 8 principles (VIEW + ABLE) cover versioning, customization, extensibility, maintainability, backwards-compatibility, learnability, and efficiency — all critical for a language like Evolvix that must remain stable for decades. The “Wearable” principle (easing workload) is particularly pragmatic: even a perfectly designed system fails if using it is too burdensome.

Document Information

Document ID	POD Fairviewable Long-Term (Flying Scroll, transwarpkey/sta1-evx/)
Author	Laurence Loewe of Laodicea (LLoL)
Date	2019m03d15
Version	iv_LLoL_QQv1r5p8_2019m03d15
Format	Single-page figure
License	Jonah License with CC0 Public Domain
Part of	Good News Pack MMv3, Flying Scroll / Transwarp Key / STa1-EVX
PDF size	64 KB
WebP size	196 KB

Related documents:

• STa1-EVX stadium overview (parent page with all 30 documents)

• Heresy — Shared Language (references FAIRVIEWABLE negotiation)

• Simplicity in Lasting Standards (the simplicity argument underlying the Learnable and Efficient principles)

— Overview AI-generated by dv_ClaOp46Max_ExhH_2026m04d16 —End—

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Notes

Content stability — Content is variant dv_ClaOp46Max_ExhH_2026m04d16 (see StayVS). Rebuilt 2026-05-18.

Expert Review Needed: Help Assess This Research and Its AI Overview

This page makes accessible one document from LLoL’s 6+ year wid-e research marathon on existential risk and ResearchCity. The PDF linked above is the original work; this page provides an overview.

The original research needs expert review. Download the PDF and bring your expertise to bear — whether you are a scientist, policy maker, theologian, peace activist, or concerned citizen. This research aims to find gentle kind reasonable ways to solve existential problems. Your perspective matters for assessing whether it succeeds.

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