Thinking like a business: Reconfiguring relationships to sustain open data infrastructures

Dorothea Strecker; Kathleen Gregory

arxiv: 2604.27580 · v3 · pith:Y2OSLP3Knew · submitted 2026-04-30 · 💻 cs.DL

Thinking like a business: Reconfiguring relationships to sustain open data infrastructures

Kathleen Gregory , Dorothea Strecker This is my paper

Pith reviewed 2026-05-25 06:12 UTC · model grok-4.3

classification 💻 cs.DL

keywords open data infrastructuresfinancial sustainabilityrelationship reconfigurationbusiness modelsassetizationdata governanceDryadopen science

0 comments

The pith

Dryad sustains its open data repository by reconfiguring relationships with customers, collaborators, and competitors while implementing a new fee structure.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper shows how Dryad, an established open data infrastructure, has pursued long-term financial viability by changing its ties to other actors and by developing a fee-based model through assetization. It identifies four distinct relationship reconfigurations—reinforcing, forging, positioning, and excluding—that proved central to this shift. These changes also altered Dryad's interpretations of value, community, and governance. The mechanisms matter because open data infrastructures frequently face funding challenges, yet the relational and interpretive adjustments that support sustainability often remain invisible to others seeking to replicate success.

Core claim

Dryad has worked toward financial sustainability by reconfiguring relationships with other actors and by strategically implementing a new business model and process of assetization. Four types of relationship reconfigurations with customers, collaborators, and competitors—reinforcing, forging, positioning, and excluding—are critical to Dryad's financial evolution. Dryad's efforts to develop a new fee structure have changed its interpretations of value(s), community, and governance, factors important in an infrastructure's longevity. Emerging tensions arise from these efforts and offer insight for other open infrastructures.

What carries the argument

Four types of relationship reconfigurations—reinforcing, forging, positioning, and excluding—together with the process of assetization through a new fee structure, which together alter interpretations of value, community, and governance.

If this is right

Open data infrastructures can achieve financial sustainability through deliberate reconfigurations of relationships with customers, collaborators, and competitors.
A new fee structure changes how an infrastructure interprets value, community, and governance.
Tensions emerge during the transition to paid models that affect long-term viability.
Insights from these relational and interpretive changes apply to other open infrastructures seeking sustainable funding.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

The same four reconfiguration types could be examined in non-biology data repositories to test whether the pattern holds beyond Dryad's domain.
Policymakers funding open science might track shifts in governance interpretations as early indicators of an infrastructure's stability.
Future work could compare cases where assetization succeeds versus those where it produces irreconcilable tensions with open principles.

Load-bearing premise

The relationship reconfigurations and shifts in interpretations of value, community, and governance are causally linked to financial sustainability, and the single case of Dryad can be generalized to other open data infrastructures.

What would settle it

An open data infrastructure that reaches long-term financial sustainability without performing reinforcing, forging, positioning, or excluding reconfigurations and without shifting its interpretations of value, community, and governance.

read the original abstract

Sustaining open data infrastructures over time is a complex puzzle, involving dynamic funding models and relationships with customers, collaborators, and competitors. Despite their importance, these mechanisms are often hidden from view, limiting their applicability to other infrastructures. In this article, we examine how Dryad, a well-known open data infrastructure, has worked toward financial sustainability by reconfiguring relationships with other actors and by strategically implementing a new business model and process of assetization. We identify four types of relationship reconfigurations with customers, collaborators, and competitors critical to Dryad's financial evolution: reinforcing, forging, positioning, and excluding. We then analyze how Dryad's strategic efforts to develop a new fee structure have changed its interpretations of value(s), community, and governance, factors important in an infrastructure's longevity. We conclude by highlighting emerging tensions that provide insight for other open infrastructures working to become financially sustainable. As a whole, our analysis focuses not just on financial mechanisms for funding open data infrastructures (although those emerge) but on the relationships which enable them.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Desk Editor's Note private letter to a colleague

Dryad case study maps four relationship reconfigurations and interpretive shifts around a new fee structure, but single-case design leaves the link to sustainability untested.

read the letter

The core of this paper is a qualitative case on Dryad's path to financial sustainability. It identifies four types of relationship changes—reinforcing, forging, positioning, and excluding—with customers, collaborators, and competitors, then traces how the new fee structure altered the organization's views on value, community, and governance. That taxonomy and the interpretive analysis are the actual new pieces; they are not in the prior work cited in the abstract and give a concrete way to talk about hidden relational work in open infrastructures. The paper does a clean job keeping the focus on relationships rather than treating funding as a standalone technical fix, and the Dryad example is specific enough to show real tensions that other groups might recognize. The methods are not detailed in the abstract, but the claims rest on observed changes rather than circular definitions or fitted parameters. The main limitation is the single-organization scope. The argument treats the reconfigurations and interpretive shifts as critical to sustainability and as transferable insight, yet the narrative cannot rule out external funding shifts or market changes as the real drivers, nor show that the observed moves produced the outcome instead of just coinciding with it. Generalizability therefore depends on an unexamined assumption that Dryad's context is representative. This is for people working on open data or digital library infrastructures who need language for the relational side of funding models. A reader already familiar with business-model work in nonprofits will see the application as distinct but not revolutionary. The paper shows clear thinking and honest engagement with its own case, so it deserves a serious referee even if the revision would need to address transferability and alternative explanations.

Referee Report

2 major / 2 minor

Summary. The manuscript presents a qualitative case study of Dryad, an open data infrastructure, examining its path to financial sustainability through relationship reconfigurations with customers, collaborators, and competitors, and the implementation of a new fee structure and assetization process. It identifies four reconfiguration types—reinforcing, forging, positioning, and excluding—and analyzes resulting shifts in interpretations of value(s), community, and governance, concluding with tensions relevant to other open infrastructures.

Significance. If the findings hold, the work contributes a relational perspective on sustaining open data infrastructures, highlighting how business-model changes intersect with interpretive shifts rather than treating funding in isolation. The concrete typology of reconfigurations offers potential transfer value to practitioners, and the focus on hidden mechanisms aligns with needs in digital library and infrastructure studies.

major comments (2)

[Methods and Findings] Methods and Findings sections: The central claim that the four reconfiguration types are critical to Dryad's financial evolution rests on a single-organization narrative without reported protocols for data collection (e.g., interview sampling, document selection), coding procedures, or checks against alternative explanations such as external funding shifts; this leaves the causal attribution and the transferability assertion untested.
[Discussion] Discussion section: The analysis treats observed shifts in value/community/governance interpretations as directly enabling longevity, yet provides no comparative cases or falsification tests, making the generalization to other open data infrastructures a load-bearing assumption rather than an evidenced outcome.

minor comments (2)

[Abstract] Abstract: The phrase 'assetization' is introduced without a brief definition or reference, which may obscure the business-model claim for readers outside management studies.
[Conclusion] The manuscript would benefit from an explicit limitations subsection addressing single-case constraints, even if brief.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive feedback and the recommendation for major revision. Below we address each major comment point by point, indicating where we will revise the manuscript for greater transparency and clarity while preserving the interpretive nature of the single-case study.

read point-by-point responses

Referee: [Methods and Findings] Methods and Findings sections: The central claim that the four reconfiguration types are critical to Dryad's financial evolution rests on a single-organization narrative without reported protocols for data collection (e.g., interview sampling, document selection), coding procedures, or checks against alternative explanations such as external funding shifts; this leaves the causal attribution and the transferability assertion untested.

Authors: We acknowledge the value of explicit methodological detail. The study draws on organizational documents, public reports, and stakeholder interviews; we will expand the Methods section to describe data sources, selection rationale, and the iterative thematic coding process used to identify the four reconfiguration types. Triangulation across sources supports the observed patterns, though we do not perform formal hypothesis testing against alternatives. A new limitations paragraph will address the single-case design and interpretive (rather than strictly causal) claims. revision: yes
Referee: [Discussion] Discussion section: The analysis treats observed shifts in value/community/governance interpretations as directly enabling longevity, yet provides no comparative cases or falsification tests, making the generalization to other open data infrastructures a load-bearing assumption rather than an evidenced outcome.

Authors: The manuscript presents an in-depth single-case analysis rather than comparative or falsification-based claims. Observed interpretive shifts are tied to the documented reconfigurations within Dryad; we will revise the Discussion to frame these as case-specific insights with explicit discussion of transferability limits and the absence of comparative data. This approach follows qualitative traditions in infrastructure studies where single cases surface mechanisms for further investigation. revision: partial

Circularity Check

0 steps flagged

No circularity: qualitative case study derives claims from empirical observation without reduction to inputs

full rationale

This is a qualitative single-case study of Dryad's relationship reconfigurations and interpretive shifts. The central claims (four reconfiguration types: reinforcing, forging, positioning, excluding; changes in value/community/governance interpretations) are presented as outcomes of direct analysis of the case rather than any mathematical derivation, fitted parameter, self-referential definition, or load-bearing self-citation chain. No equations, predictions, or ansatzes appear; the derivation chain consists of interpretive synthesis from observed events and does not reduce to its own inputs by construction. This is the expected non-finding for non-quantitative empirical work.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The paper is a qualitative case study that rests on domain assumptions about the centrality of relationships and business models for infrastructure longevity. No free parameters, invented entities, or mathematical axioms are present.

axioms (1)

domain assumption Relationship reconfigurations and interpretive changes are critical factors in the financial sustainability of open data infrastructures.
Central premise invoked throughout the abstract to frame the Dryad analysis.

pith-pipeline@v0.9.0 · 5709 in / 1122 out tokens · 38734 ms · 2026-05-25T06:12:06.567610+00:00 · methodology

Review history (2 revisions) →

discussion (0)

Reference graph

Works this paper leans on

2 extracted references · 2 canonical work pages

[1]

A Patchwork of Data Systems

https://doi.org/10.1002/nml.4130020407 Jones, S., Leggott, M., Lopez Albacete, J., Madalli, D., Pascu, C., Payne, K., Schouppe, M., & Treloar, A. (2023). Global Open Research Commons IG - RDA. https://doi.org/10. 15497/RDA00087 Karasti, H., & Blomberg, J. (2018). Studying Infrastructuring Ethnographically.Computer Supported Cooperative Work (CSCW),27(2), ...

work page doi:10.1002/nml.4130020407 2023
[2]

https://doi.org/10.1186/s12874-018-0594-7 Zott, C., & Amit, R. (2010). Business Model Design: An Activity System Perspective.Long Range Planning,43(2), 216–226. https://doi.org/10.1016/j.lrp.2009.07.004

work page doi:10.1186/s12874-018-0594-7 2010

[1] [1]

A Patchwork of Data Systems

https://doi.org/10.1002/nml.4130020407 Jones, S., Leggott, M., Lopez Albacete, J., Madalli, D., Pascu, C., Payne, K., Schouppe, M., & Treloar, A. (2023). Global Open Research Commons IG - RDA. https://doi.org/10. 15497/RDA00087 Karasti, H., & Blomberg, J. (2018). Studying Infrastructuring Ethnographically.Computer Supported Cooperative Work (CSCW),27(2), ...

work page doi:10.1002/nml.4130020407 2023

[2] [2]

https://doi.org/10.1186/s12874-018-0594-7 Zott, C., & Amit, R. (2010). Business Model Design: An Activity System Perspective.Long Range Planning,43(2), 216–226. https://doi.org/10.1016/j.lrp.2009.07.004

work page doi:10.1186/s12874-018-0594-7 2010