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FIP Check: A Rubric-Based Tool for Assessing FAIR Implementation Profiles and Enabling Resources Cover

FIP Check: A Rubric-Based Tool for Assessing FAIR Implementation Profiles and Enabling Resources

Open Access
|Feb 2026

Figures & Tables

Table 1

Acronyms and Key Terms Used in This Study.

ACRONYM/TERMFULL NAMEBRIEF DESCRIPTION
FAIRFindable, Accessible, Interoperable, ReusableGuiding principles for improving the reuse of digital research objects
FIPFAIR Implementation ProfileA structured description of how a community implements FAIR Principles
FERFAIR Enabling ResourceTechnical solutions that support FAIR Implementation
FIP WizardN/AWeb-based tool that supports the collaborative creation and publication of FAIR Implementation Profiles (FIPs)
Table 2

Definitions of FAIR Rating Levels.

FAIR RATINGDESCRIPTION
Beginning FAIRFAIR Principles have not yet been adopted in any significant way. There is little to no use of FAIR-related services. This level represents a starting point with substantial room for improvement.
Basic FAIRSome initial FAIR-aligned steps have been taken, but adoption is limited and inconsistent. Only a few practices are in place.
Core FAIRA solid foundation of FAIR implementation exists. Many important elements are implemented, though several areas still need attention. Indicates a clear commitment to FAIR.
Advanced FAIRFAIR Principles are applied consistently and effectively. Most practices are well established, with only minor gaps remaining.
Exemplary FAIROutstanding implementation of FAIR. Practices are comprehensive, effective, and can serve as models for others in the community.
Table 3

Interpretive Scale for Assessing F2. Metadata Schema. The highest entry in each Assessment Aspect is the most FAIR; the lowest entry is the least FAIR. Each row has five interpretive answers ordered from most to least FAIR.

ASSESSMENT ASPECTQUESTIONINTERPRETIVE SCALE
Field NamesDoes the metadata schema define structured representations of metadata attributes?Semantic Standard
Standardized
Transparent
Opaque
Absent
Field ValuesDoes the schema support globally unique, persistent, and resolvable identifiers (GUPRIs) for referenced entities?Formally Profiled
Semantic Standard
Standardized
Described
Undefined
Versioning SupportDoes the schema support identification and relation of multiple versions of an entity?Spec + Instance (Internal)
Spec (Internal)
Spec + Instance (External)
Spec (External)
None
Community AdoptionIs the schema widely adopted or compatible with community standards?Standard or International
Domain or Nation
Multi-Project
Project
Individual
Findability AttributesDoes the metadata schema include at least 20 attributes to support findability?20 or more
15 to 19
10 to 14
5 to 9
0 to 4
Schema RepresentationIs the schema itself a computable and structured specification that is described with core metadata?Formally Profiled
Semantic Standard
Computable
Descriptive
Absent
Schema FlexibilityCan the metadata schema support optional attributes and multiple-valued attributes?Optional + Ranged Multiple
Optional + Multiple
Optional Attribute
Repeated Attributes
Neither Supported
dsj-25-2096-g1.png
Figure 1

FIP Check Interface - Primary Assessment Tab “FIP Assessment”.

This view shows the aggregation of individual FER scores by FAIR Principle and FAIR Principle Category. FIP-level scores (e.g., REPO-X, REPO-Y) are calculated using weighted averages across FAIR domains.

Table 4

FIP Check Assessment Schemes – Standard (left) and Simplified (right).‘Standard Assessment Scheme’ uses an ordinal 5-point scale to capture varying degrees of FAIRness. Responses are mapped to scale from 0 (No Support) to 100 (Full Support), with intermediate levels (25, 50, 75) indicating partial alignment. ‘Simplified Assessment Scheme’ applies a binary approach: full or strong support scores 1, while any partial or weak support scores 0.

STANDARD ASSESSMENT
SUPPORT LEVELSCORE CONTRIBUTION
Yes/Full Support100
Mostly/Strong Support75
Partially/Moderate Support50
Minimally/Weak Support25
No/No Support0
SIMPLIFIED ASSESSMENT
Yes/Full Support100
Mostly/Strong Support100
Partially/Moderate Support0
Minimally/Weak Support0
No/No Support0
Table 5

FAIR Rating Levels and Score Thresholds.

FAIR RATINGSSCORE RANGE (UPPER INCLUSIVE)
Exemplary FAIR85–100
Advanced FAIR65–85
Core FAIR30–65
Basic FAIR10–30
Beginning FAIR0–10
dsj-25-2096-g2.png
Figure 2

FIP Check Radial Visualization of REPO-D’s FAIR Alignment.

Language: English
Submitted on: Nov 1, 2025
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Accepted on: Feb 9, 2026
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Published on: Feb 27, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Sungha Kang, John Graybeal, Barbara Magagna, Erik Schultes, Nancy Hoebelheinrich, Chris Erdmann, Ismael Kherroubi Garcia, Julianne Christopher, Christine R. Kirkpatrick, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.