Data & Transparency (asr-data-and-transparency)
ASR's transparency expectations follow the ASA data-sharing policy, which is a professional norm
of availability — not (as at some journals) a mandatory, editor-run reproducibility check before
publication. The right posture is: document thoroughly, share what you ethically can, and be explicit
about confidentiality. Confirm the current supplementary-materials policy on the live page —
this skill does not assert a verification step the policy does not state.
When to trigger
- Preparing data documentation and any supplementary materials
- Deciding what can be shared given confidentiality, IRB, or proprietary constraints
- Documenting qualitative or restricted-access data so claims are credible
- A reviewer asked how others could check or build on your analysis
What the ASA data-sharing policy says (verify current wording)
- Sociologists share data and pertinent documentation as an integral part of a research plan and
generally make data available after completion of a project or its major publications.
-
Exemptions: where proprietary agreements with employers, contractors, or clients preclude
sharing, or where it is impossible to share data and protect the confidentiality of research
participants.
- Submitting a manuscript elsewhere while under ASR review is unethical; findings that already
appeared elsewhere must be clearly identified.
Good practice (do this even though ASR doesn't pre-verify)
-
Document provenance and construction. A README/codebook describing sources, sample
construction, variable definitions, and analysis steps — so the work is checkable.
-
Quantitative: keep a master script + pinned versions + seeds so results can be regenerated; be
ready to share code even if restricted data cannot be redistributed (give an access path).
-
Qualitative: protect informants — anonymize, aggregate, or restrict sensitive material;
consider a controlled-access repository (e.g., QDR) where appropriate; share what supports the
claims without exposing participants.
-
Confidentiality first. Human-subjects protection overrides sharing; state clearly when and why
data cannot be shared, and what can (synthetic data, code, documentation).
Transparency posture by data type (ASR / ASA norm)
Because ASR spans the discipline's methodological range under one ASA ethics umbrella, the
availability expectation lands differently on different evidence. This grid keeps the posture honest.
Confirm specifics against the journal's current submission guidelines where mechanics are involved.
| Data type |
Typically shareable |
Restricted |
Credibility documentation |
| Public-use survey |
data + code |
none |
codebook + master script + pinned versions |
| Administrative |
code + access path |
raw records |
enclave/DUA reference, construction log |
| In-depth interviews |
coding scheme |
identifiable transcripts |
anonymized excerpt table, memo trail |
| Ethnographic fieldnotes |
analytic memos |
informant identities |
composite-disclosure note, IRB conditions |
| Computational / scraped |
code + seeds |
TOS-restricted corpora |
model/version log, label validation |
Worked micro-example (illustrative)
A comparative-historical paper on welfare-state formation draws on national archives plus a coded
events dataset.
Shareable: the coded events table (N≈430), coding rules, replication script for the figures
Restricted: archival scans → cite finding aids + box/folder IDs instead
Credibility move: an evidence table maps each causal claim to ≥2 independent archival sources
Statement to editor: "Coded data + code deposited; archival images available to qualified
researchers via [repository] under its access terms."
The posture shares what supports the claims, documents provenance, and is explicit about what cannot
be redistributed and why.
Referee pushback → ASR-specific fix
-
"How could anyone verify the qualitative claims?" → Provide a coding scheme, an excerpt-to-claim
table, and a controlled-access route (e.g., QDR) rather than raw transcripts.
-
"You promise open data but the IRB forbids it." → State the confidentiality constraint and offer
synthetic data, code, and a documented access path.
Calibration anchors
-
Availability, not editor-run replication. ASR expects professional sharing after completion or
major publication — not a pre-publication verification gate; do not assert one.
-
Confidentiality outranks sharing. Human-subjects protection wins any conflict; documenting why
data are withheld is itself a credibility signal.
-
Document so a generalist could follow. The standard is a stranger in another subfield tracing
your evidence.
Anti-patterns
- Over-stating ASR's policy as a mandatory verified replication deposit (it is a sharing norm)
- Promising open data that IRB/confidentiality will not allow
- No codebook or documentation, making the analysis uncheckable
- Exposing identifiable information about ethnographic informants
- Submitting elsewhere while under ASR review (unethical)
Output format
【Sharing posture】what can be shared (data / code / docs / synthetic) and what cannot, and why
【Documentation】README/codebook + provenance + (quant) seeds/pinned versions? [Y/N]
【Confidentiality】informant/participant protection handled? [Y/N]
【Prior appearance】any overlapping findings identified? [Y/N]
【Policy check】current ASR supplementary-materials policy confirmed? [Y/N/待核实]
【Next】asr-review-process
Supplementary resources