Skills Data Science JFI Replication and Data Compliance Policy

JFI Replication and Data Compliance Policy

v20260724
jfi-replication-and-data-policy
This guide assists authors in preparing research materials for submission to the Journal of Financial Intermediation (JFI), adhering to Elsevier Option C. It provides detailed instructions on managing, depositing, citing, and linking research data, code, and algorithms—whether the data is public, proprietary, or restricted (e.g., central bank registers). The goal is to ensure methodological rigor and reproducibility through the Data Statement.
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Overview

Replication & Data Policy (jfi-replication-and-data-policy)

When to trigger

  • Preparing data/code materials before submitting or at acceptance
  • Writing the Data Statement or handling restricted/proprietary banking data

What JFI actually requires (verified 2026-06-20; re-confirm on the official page)

JFI follows Elsevier Option C for research data. Research data here includes software, code, models, algorithms, protocols, and methods — not just datasets. Authors are required to:

  • Deposit research data in a relevant repository and cite/link it, or explain why data cannot be shared.
  • Provide a Data Statement on data availability when relevant; it is supported in the submission flow and published with the article.
  • Cite datasets in the text and reference list using the [dataset] tag.

Crucially, JFI has no journal-specific mandatory replication-code archive — there is no equivalent of the Journal of Applied Econometrics Data Archive or the American Economic Review replication mandate. Do not invent a JFI-only archive requirement, but do treat deposit/cite/link-or-explain as the live Elsevier data-policy obligation.

How to prepare

  • Empirical papers: write a clear Data Statement (sources, access conditions, what is shared); deposit shareable data and code in a general-purpose repository (Mendeley Data, Zenodo, ICPSR/openICPSR) and link it. For restricted bank/supervisory data (Call Reports extracts under license, FR Y-14, DealScan), state the access route and share the code plus any constructed, non-proprietary derivatives.
  • Theory papers: lighter — share the code that generates numerical examples/figures so they are reproducible (fixed seeds/parameters); a Data Statement can note that no empirical data underlie the results.

Restricted banking data: the disclosure ladder

Data tier Typical examples What you can realistically share
Public Call Reports, HMDA, FDIC Summary of Deposits Full data plus code — deposit everything
Commercial license DealScan, Orbis/Bankscope, branch-rate databases Code, construction steps, and access instructions; never raw data
Supervisory / central-bank Credit registers, FR Y-14, examination data Code, variable definitions, the application route, and cleared aggregates

For the supervisory tier, the Data Statement should name the granting institution and the access route so a referee believes replication is possible in principle — credibility matters disproportionately at a venue where the best identification lives inside restricted registers. Repository specifics and any evolving Elsevier requirements: confirm against the journal's current author guidelines.

Worked Data Statement skeleton (credit-register paper, illustrative)

Data statement: Loan-level records are from the [country] credit register,
accessed on-site under agreement [ref]; they cannot leave the central bank.
We deposit: (i) all construction and estimation code; (ii) variable
definitions and sample filters; (iii) bank-level aggregates cleared for
release; (iv) instructions for applying for register access. Public inputs
(Call Reports, HMDA) are included in the repository. Datasets are cited
with [dataset] tags in the reference list.

Friction points editors and referees raise

  • "Data available on request" with no named route reads as evasion — name the institution and process.
  • Code that hard-codes paths inside the central-bank enclave — ship a config file and a README mapping enclave paths to placeholders.
  • Cleared aggregates that cannot reproduce a single exhibit — clear at least the headline table's inputs.
  • A theory paper claiming "no data" while its calibrated figures depend on undisclosed parameter files — the numerical-example code and parameter values are the reproducibility object at JFI.

Anti-patterns

  • Treating Option C as optional or replacing it with "data available on request"
  • Asserting a mandatory JFI-specific archive that the Guide does not name
  • A Data Statement that hides restricted-data access conditions
  • Citing datasets in prose without the [dataset] reference tag
  • Depositing data but never linking it in Editorial Manager

Output format

【Data Statement】drafted, access conditions stated? [Y/N]
【Deposit / explain】repository chosen and linked in EM, or restriction explained? [Y/N]
【[dataset] tags】data cited in references? [Y/N]
【Restricted data】access route + shareable code noted? [Y/N]
【Note】Option C applies; no JFI-specific archive is named
【Next skill】jfi-review-process
Info
Category Data Science
Name jfi-replication-and-data-policy
Version v20260724
Size 5.04KB
Updated At 2026-07-28
Language