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eursr-transparency-and-data

Use when preparing the Data Availability Statement and the replication package for a European Sociological Review (ESR) manuscript. ESR requires a D…

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Transparency & Data (eursr-transparency-and-data)

ESR's transparency expectations are stricter than a sharing norm: a **Data Availability Statement

(DAS) is required for every manuscript, and for submissions received on or after 1 January 2025**,

authors using **statistical or computational methods must deposit a replication package as a condition

of publication (assembled by acceptance, typically required at conditional acceptance). Qualitative-

data work is exempt from the package requirement. Confirm the current wording and effective dates on

the live OUP/ESR page** — this skill states the policy as verified in 2026-06; treat specifics as

volatile.

When to trigger

  • Writing the Data Availability Statement (needed at submission)
  • Assembling the replication package ahead of conditional acceptance
  • Deciding what can be shared given confidentiality, DUA, or proprietary constraints (register data)
  • A reviewer or editor asked how the analysis can be reproduced

What the ESR policy requires (verify current wording)

  • Data Availability Statement in every article — describing how the data can be accessed and the

conditions for access (open, controlled/enclave, on-request, or restricted).

  • Replication package for statistical/computational papers, due at conditional acceptance: the code,

the constructed/analysis data (or a documented access path when redistribution is barred), and

documentation sufficient to regenerate every reported result.

  • Exemption: research using qualitative data (interviews, participant observation) is not required

to submit a replication package.

  • Restricted data path: where register/administrative data (e.g., national statistical offices,

SOEP, EU-SILC scientific-use files) cannot be redistributed, share all code plus a precise access

route (provider, file version, DUA), so a qualified researcher could reproduce the results.

Build a package that reproduces (do this from the start)

  • One master script regenerates every table/figure from the (constructed) data, in order.
  • Set and report seeds for imputation, bootstrap, and MCMC; pin versions (renv.lock,

requirements.txt, recorded ssc/net installs).

  • Archive the harmonization/recoding code (ISCED/CASMIN, ISCO/ISEI/EGP) — it is part of the result.
  • README documenting data sources and versions, run order, expected outputs, runtime, and any

access restrictions.

  • Deposit in a citable repository (e.g., OSF, Zenodo, GESIS) and reference it in the DAS.

Transparency posture by data type (ESR)

| Data type | In the package | Restricted | DAS framing |

|-----------|----------------|------------|-------------|

| Public comparative survey (ESS, EVS) | data + code | none | "openly available from [archive], version X" |

| EU-SILC / SOEP scientific-use file | code + constructed-vars script | raw microdata | "available from [provider] under its access terms" |

| National register / administrative | all code + access route | raw records | "accessible via [NSO/enclave] under DUA; code provided" |

| Qualitative (exempt) | analytic documentation (optional) | identifiable transcripts | state the exemption + confidentiality basis |

Worked micro-example (illustrative)

A comparative scarring paper uses public ESS plus a restricted national register linkage.

DAS: "ESS Round data are openly available from the ESS Data Archive (edition cited). The linked
  register data are accessible to qualified researchers via [national statistical office] under a data-
  use agreement; all analysis and harmonization code is provided in the replication package."
Package (for conditional acceptance): master.R + harmonization scripts + constructed analysis file for
  the ESS portion; full code for the register portion with a documented access path; seed = 2026;
  renv.lock pinned; README with run order and runtime; deposited on Zenodo with a DOI.
Statistical method → not exempt → package required.

The posture shares what supports the claims, documents provenance, and is explicit about what cannot be

redistributed and how to obtain it — exactly what ESR's mandate expects.

Referee / editor pushback → ESR-specific fix

  • "Your register data can't be shared, so this isn't reproducible." → Provide all code plus a

precise access route (provider, version, DUA); the policy accommodates restricted data via an access

path, not an exemption from code.

  • "The DAS is vague." → Name the archive/provider, the data version/edition, and the exact access

condition; a generic "data available on request" is weak.

  • "Numbers don't match your code." → Re-run the master script end-to-end before depositing; mismatches

read as a credibility failure under the mandate.

Calibration anchors

  • A replication package is a condition of publication, not a courtesy. For statistical/computational

work submitted from 1 Jan 2025, plan it from day one — it is not an afterthought at acceptance.

  • Restricted data still requires shareable code. ESR's mandate is satisfied by code + a documented

access path, not by declaring the data private.

  • The DAS is required for everyone. Even exempt qualitative work needs a Data Availability Statement;

confirm the current wording and effective dates on the live page.

Anti-patterns

  • Treating the replication package as optional or leaving it to the last minute
  • A vague "data available on request" DAS with no provider, version, or access condition
  • Claiming a qualitative exemption for a statistical/computational paper
  • Omitting the harmonization/recoding code from the package (the result is not reproducible without it)
  • Depositing code whose output does not match the manuscript's tables

Output format

【DAS】drafted, names archive/provider + version + access condition? [Y/N]
【Package required?】statistical/computational (yes) vs. qualitative (exempt)
【Package contents】master script + data/access path + harmonization code + seeds + README? [Y/N]
【Restricted data handled】code shared + documented access route? [Y/N]
【Policy check】current ESR DAS + replication wording/dates confirmed? [Y/N/待核实]
【Next】eursr-review-process

Supplementary resources

  • [../../resources/external_tools.md](../../resources/external_tools.md) — repositories (OSF / Zenodo / GESIS), reproducibility tooling
  • [../../resources/code/](../../resources/code/) — master-script + pinned-version skeleton to base the package on
  • [../../resources/official-source-map.md](../../resources/official-source-map.md) — ESR Data Availability + replication policy and effective dates

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原文件路径European-Sociological-Review-Skills/skills/eursr-transparency-and-data/SKILL.md

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