Back

Carrierwave: A granular, incentive-aligned infrastructure for scientific communication

Bachelet, I.

2026-03-03 scientific communication and education
10.64898/2026.03.01.708795 bioRxiv
Show abstract

The peer-reviewed journal article imposes structural constraints on the dissemination, validation, and reuse of research outputs. Intermediate results, negative findings, methodological refinements, and replication attempts are systematically underrepresented in published literature, limiting visibility into ongoing research activity for both scientists and mission-driven funders. Here we present Carrierwave, an open infrastructure for continuous, granular scientific communication built on structured research objects (ROs), cryptographic provenance, blockchain-based attribution, and programmable incentive mechanisms. Each RO represents an atomic unit of scientific output -- a single experimental result, negative finding, dataset, protocol, or replication -- that is hashed for content integrity, stored in a persistent database, and optionally minted as an ERC-721 non-fungible token on the Ethereum blockchain. The system includes an on-chain bounty pool enabling funders to directly incentivize specific research activities, and an automated analysis layer that synthesizes disclosed ROs into continuously updated research landscape maps. We describe the system architecture, report on its implementation and deployment on Ethereum mainnet, and present a quantitative analysis of disease-specific publication frequency demonstrating the information latency problem that Carrierwave addresses. The distribution of publication frequency across disease areas is highly skewed, with the majority of conditions represented by fewer than four publications per year in high-impact biology journals. For diseases in the long tail, the interval between successive publications may span months or years. Publication frequency correlates poorly with disease burden, instead reflecting historical research community size and advocacy momentum. By reducing the unit of communication to the individual research object and eliminating editorial gatekeeping as a prerequisite for disclosure, Carrierwave increases the effective sampling rate of scientific activity in precisely the domains where publication-based visibility is most sparse. The system is live at https://carrierwave.org.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

1
Nature Biotechnology
147 papers in training set
Top 0.1%
41.9%
2
Nature Neuroscience
216 papers in training set
Top 0.4%
13.2%
50% of probability mass above
3
Nature
575 papers in training set
Top 4%
7.2%
4
Nature Methods
336 papers in training set
Top 2%
6.7%
5
Science
429 papers in training set
Top 11%
2.5%
6
PLOS ONE
4510 papers in training set
Top 46%
2.5%
7
Journal of Cell Biology
333 papers in training set
Top 2%
2.2%
8
Cell Systems
167 papers in training set
Top 6%
2.0%
9
Nature Communications
4913 papers in training set
Top 49%
1.8%
10
Nature Genetics
240 papers in training set
Top 4%
1.8%
11
PLOS Computational Biology
1633 papers in training set
Top 18%
1.4%
12
PLOS Biology
408 papers in training set
Top 13%
1.3%
13
Genome Biology
555 papers in training set
Top 6%
0.9%
14
Nature Computational Science
50 papers in training set
Top 1%
0.9%
15
Bioinformatics
1061 papers in training set
Top 9%
0.8%
16
Nature Medicine
117 papers in training set
Top 4%
0.8%
17
Scientific Reports
3102 papers in training set
Top 73%
0.8%
18
eLife
5422 papers in training set
Top 57%
0.8%
19
Nature Human Behaviour
85 papers in training set
Top 4%
0.8%
20
Journal of the American Medical Informatics Association
61 papers in training set
Top 2%
0.8%
21
JCO Clinical Cancer Informatics
18 papers in training set
Top 0.9%
0.7%
22
FASEB BioAdvances
15 papers in training set
Top 0.3%
0.7%
23
Biology
43 papers in training set
Top 3%
0.7%
24
GigaScience
172 papers in training set
Top 3%
0.7%
25
Genome Medicine
154 papers in training set
Top 9%
0.7%
26
Scientific Data
174 papers in training set
Top 3%
0.7%