washopenresearch 0.3.0

New features

• New function das_in_paper_support() classifies how a "data in paper"
  data availability statement is backed by the recorded supplement fields
  (#47). The modal claim "all relevant data are included in the paper or its
  supplementary information" splits into "no supplement" (the claim rests
  on the printed tables alone), "unstructured supplement" (pdf or images
  only), "structured supplement" (docx, xlsx and similar), and
  "open supplement" (csv, txt, json, xml). Across washdev and the three
  IWA journal snapshots (2,599 claims), 71.5% have no supplement, 26.5% a
  structured one, 2.1% an unstructured one, and none an open format.
  data-raw/das_in_paper_support.R reproduces the summary in
  data-raw/das-in-paper-support-summary.csv. A follow-up cross-check
  against OpenAlex article types (data-raw/das_in_paper_article_types.R,
  committed DOI-to-type lookup) shows the no-supplement claims are almost
  entirely substantive research articles: only 0.5% are front matter or
  reviews, so the article-type filter proposed in #47 does not shrink the
  population. Verifying the remaining 1,847 bare claims requires reading
  the articles' tables.
• Supplement content audit (#47 tier 3): the 741 supplementary files of the
  IWA snapshots whose pre-signed CDN links were still valid were downloaded
  (checksummed manifest in data-raw/suppfiles/manifest.csv; the signatures
  lapse 2026-08-18 to 2026-08-30, so 572 further links were already dead)
  and classified with transparent structural heuristics
  (data-raw/suppfiles_parse.R: pandoc-converted docx tables, readxl/xlsx
  sheet metrics). Of the 290 in-paper claims whose structured supplement was
  in hand, 54% share prose only, 21% summary tables, and 20% tables shaped
  like observations (data-raw/das_in_paper_suppfile_audit.R). xlsx files
  are the exception: 25 of 29 hold observation-shaped sheets. Heuristics are
  recorded per file and await validation against a manual sample.
• New scripted acquisition pipeline for a fourth dataset, datapapers, covering
  WASH-related data papers in seven dedicated data journals (Scientific Data,
  Data in Brief, Gates Open Research, F1000Research, GigaScience, GigaByte,
  and Data (MDPI)) (#28). The pipeline lives in
  data-raw/01_datapapers_acquire.R (Crossref/Europe PMC harvest with a
  committed raw snapshot), data-raw/02_datapapers_screen.R (relevance
  screening captured in a committed decision sheet keyed on DOI), and
  data-raw/03_datapapers_process.R (harmonisation to the shared schema and
  export). The first harvest and screening round yielded 8 papers, shipped
  as the new datapapers dataset with CSV and XLSX exports in
  inst/extdata/.

Minor improvements and fixes

• datapapers now carries the repository links its papers deposit to:
  data_repo_url and data_repo were NA for all 8 papers because the
  Crossref relation metadata was empty and the fallback planned for #27
  never ran. The links were verified against Crossref relations, DataCite
  resource types, and the articles' availability sections, and are recorded
  in data-raw/datapapers_repo_fixes.csv, applied during processing. Seven
  papers use general repositories (GBIF, IEEE DataPort, Figshare, Dryad,
  NCBI BioProject, Zenodo); none uses a WASH sector platform.
• Expired pre-signed CDN links in washdev$supp_url are rewritten to stable DOI
  URLs, and Google Scholar alert redirects in uncnewsletter$paper_url are
  decoded to their target URLs (#10). The 343 Silverchair links carried a
  January 2024 expiry, and the high-entropy signature tokens tripped secret
  scanners; the article DOI is recovered from the link path, so no re-collection
  is needed. Two helpers in data-raw/helpers.R, canonicalize_silverchair_url()
  and decode_scholar_redirect(), do the rewrites reproducibly.
• The list-column collapsing helper and shared country-cleaning steps moved to
  data-raw/helpers.R, sourced by all processing scripts.
• data-raw/README.md documents the run order and provenance of every
  committed snapshot and decision sheet.