| Title: | Dataset about open research data information in Water, Sanitation, and Hygiene |
|---|---|
| Description: | The goal of washopenresearch is to provide an overview of open research data related to Water Sanitation and Hygiene (WASH). The package provides access to seven datasets: `washdev`, `ws`, `jwh`, `aqua`, `uncnewsletter`, `ploswater`, and `datapapers`. Each dataset collects information on scientific articles about (1) article metadata (e.g. title, first author, correspondence author), (2) supplementary material information, (3) data availability statement, and (4) semantic information (e.g. keywords). |
| Authors: | Mian Zhong [aut, cre] (ORCID: <https://orcid.org/0009-0009-4546-7214>), Ludwig Luz [aut] (ORCID: <https://orcid.org/0009-0007-9248-3204>), Lars Schöbitz [aut] (ORCID: <https://orcid.org/0000-0003-2196-5015>), Yash Dubey [aut] (ORCID: <https://orcid.org/0009-0001-2849-970X>) |
| Maintainer: | Mian Zhong <mzhong@ethz.ch> |
| License: | CC BY 4.0 |
| Version: | 0.5.0 |
| Built: | 2026-10-05 16:28:06 UTC |
| Source: | https://github.com/openwashdata/washopenresearch |
AQUA - Water Infrastructure, Ecosystems and Society is an IWA journal. Coverage starts in 1998, the first year in the journal's online archive. The journal changed its title during this period; the dataset uses the current title for every year. The dataset is updated monthly. Each data release adds the journal issues published since the last one. Scraped from iwaponline.com by data-raw/iwa_scraping.R (#33).
aquaaqua
aquaID number of the paper on the journal website
Volume number of the journal
Issue number of the journal, as text because combined issues (for example "1-2") occur
Official website url of the paper
Full name of the journal
Title of the paper
Year of publication
Whether the paper has supplementary materials
Number of supplementary material files
File types of the supplementary materials, separated by "; " when there are multiple
Website urls of the supplementary materials, separated by "; " when there are multiple
Number of the authors
Name of the first author
Academic affiliation of the first author
Country of the first author parsed from first_author_affiliation, encoded with United Nations names
ORCID of the first author
Name of the correspondence author
Academic affiliation of the correspondence author
Country of the correspondence author parsed from correspondence_author_affiliation, encoded with United Nations names
ORCID of the correspondence author
Whether the paper has a data availability statement
Original data availability statement of the paper. NA if it does not have a data availability statement.
Type of the data availability statement including in paper(data in full paper scope like supplementary material or appendix or main content) on request(data available on request to the authors) available in online repository(data is shared in a public online repository) not shareable(data is not shareable). NA if it does not have a data availability statement.
Website urls of the data if the relevant data of the paper is shared on a public repository, separated by "; " when there are multiple
Keywords of the paper, separated by "; "
Publisher website of the paper
DOI of the paper. Collected by the R scraper; populated for every row
The stock statement "all relevant data are included in the paper or its supplementary information" is the modal data availability statement across the IWA journal snapshots. As a single category it is nearly uninformative: it covers papers whose complete dataset genuinely fits in the printed tables as well as papers whose tables hold only summary statistics (issue #47). This function scores the claim jointly with the supplement fields already recorded, so "in paper plus xlsx supplement" is distinguished from "in paper, nothing attached".
das_in_paper_support(data)das_in_paper_support(data)
data |
A data frame with the columns |
A paper makes the in-paper claim when das_type is the normalized value
"in paper" (washdev style) or contains the stock phrasing
"included in the paper" / "included in the article" (the IWA journal
snapshots keep the raw sentence in das_type). Papers without the claim
get NA.
Claims are classified by the strongest attachment that could carry the
data, using the same format tiers as score_fair():
"open supplement": an open machine-readable format is attached
(csv, txt, tsv, json, xml).
"structured supplement": structured but proprietary formats only
(xlsx, xls, docx, doc, sav, dta, rds, parquet).
"unstructured supplement": a supplement exists but only as pdf
or images, or its format is unknown.
"no supplement": nothing is attached; the claim rests entirely
on the printed tables and figures.
The classification is structural: it says where the claimed data could be, not whether it is actually there. Verifying the content of printed tables and supplement files is the follow-up work in issue #47.
data with one character column added: das_in_paper_support.
NA for papers that do not make the in-paper claim.
classified <- das_in_paper_support(washdev) table(classified$das_in_paper_support, useNA = "ifany")classified <- das_in_paper_support(washdev) table(classified$das_in_paper_support, useNA = "ifany")
Candidate WASH-related data papers harvested from Crossref and Europe PMC
for seven data journals (Scientific Data, Data in Brief, Gates Open
Research, F1000Research, GigaScience, GigaByte, and Data), screened for
relevance with a committed decision sheet. Data papers describe a shared
dataset, so the repository link takes the role that the data availability
statement variables play in washdev and uncnewsletter.
datapapersID number of the paper within this dataset
DOI of the data paper
Official url of the paper (DOI resolver link)
Publisher website of the paper
Full name of the journal
Title of the paper
Year of publication
Number of the authors
Name of the first author
Academic affiliation of the first author
Country of the first author parsed from first_author_affiliation variable encoded with United Nations names
Website urls of the repository holding the dataset the paper describes, separated by "; " when there are multiple
Name of the data repository (e.g. Zenodo, Dryad, Figshare, OSF, Dataverse) parsed from data_repo_url
License url of the paper from Crossref metadata
DOI of a linked research article, if any (e.g. Data in Brief co-submissions), separated by "; " when there are multiple
Abstract of the paper as provided by the metadata source
WASH search term(s) that retrieved the paper, separated by "; "
Date the paper metadata was harvested from the API
This dataset is frozen. It was harvested once, on 23 July 2026, and its screening is closed. It is still built with every release but no longer updated.
Crossref (https://api.crossref.org) and Europe PMC
(https://europepmc.org); see data-raw/README.md for the pipeline.
The Journal of Water and Health is an IWA journal covering water quality and health. Coverage starts in 2003. The dataset is updated monthly. Each data release adds the journal issues published since the last one. Scraped from iwaponline.com by data-raw/iwa_scraping.R (#32-#34).
jwhjwh
jwhID number of the paper on the journal website
Volume number of the journal
Issue number of the journal, as text because combined issues (for example "1-2") occur
Official website url of the paper
Full name of the journal
Title of the paper
Year of publication
Whether the paper has supplementary materials
Number of supplementary material files
File types of the supplementary materials, separated by "; " when there are multiple
Website urls of the supplementary materials, separated by "; " when there are multiple
Number of the authors
Name of the first author
Academic affiliation of the first author
Country of the first author parsed from first_author_affiliation, encoded with United Nations names
ORCID of the first author
Name of the correspondence author
Academic affiliation of the correspondence author
Country of the correspondence author parsed from correspondence_author_affiliation, encoded with United Nations names
ORCID of the correspondence author
Whether the paper has a data availability statement
Original data availability statement of the paper. NA if it does not have a data availability statement.
Type of the data availability statement including in paper(data in full paper scope like supplementary material or appendix or main content) on request(data available on request to the authors) available in online repository(data is shared in a public online repository) not shareable(data is not shareable). NA if it does not have a data availability statement.
Website urls of the data if the relevant data of the paper is shared on a public repository, separated by "; " when there are multiple
Keywords of the paper, separated by "; "
Publisher website of the paper
DOI of the paper. Collected by the R scraper; populated for every row
Article metadata for all articles published in PLOS Water since its
first volume (2022), collected through the public PLOS search API and
each article's JATS XML. Data availability statements are mandatory at
PLOS, so has_das is TRUE for research articles throughout; the
interesting variation lies in das_type, das_repo_url, and
das_repo_name. All article types are included; use article_type
to restrict to research articles.
ploswaterploswater
ploswaterDOI of the paper, identical to the doi variable
Volume number of the journal; volume 1 is 2022
Issue number of the journal
Official website url of the paper
Full name of the journal
Title of the paper
Year of publication
Whether the paper has supplementary materials
Number of supplementary material files
File types of the supplementary materials, separated by "; " when there are multiple
Website urls of the supplementary materials, separated by "; " when there are multiple. These links are stable download endpoints, they do not expire.
Number of the authors
Name of the first author
Academic affiliation of the first author
Country of the first author parsed from first_author_affiliation, encoded with United Nations names
ORCID of the first author
Name of the correspondence author
Academic affiliation of the correspondence author
Country of the correspondence author parsed from correspondence_author_affiliation, encoded with United Nations names
ORCID of the correspondence author
Whether the paper has a data availability statement
Original data availability statement of the paper. NA if it does not have a data availability statement.
Type of the data availability statement including available in online repository(data is shared in a public online repository) in paper(data in full paper scope like supplementary material or appendix or main content) on request(data available on request to the authors) not shareable(data is not shareable) no data generated(the study produced no datasets). NA if it does not have a data availability statement or no classification rule matched.
Website urls and dataset DOIs mentioned in the data availability statement, separated by "; " when there are multiple
Recognized data repositories behind das_repo_url (e.g. zenodo, dryad, figshare, osf, github, dataverse), separated by "; " when there are multiple
Subject terms of the paper from the PLOS search API, separated by "; ". PLOS Water articles carry no author keywords in their XML.
Publisher website of the paper
DOI of the paper
Article type, e.g. "Research Article", "Opinion", "Review"
Date of publication (ISO 8601)
The dataset is updated monthly. Each data release adds the articles published since the last one.
Scores each paper on the four FAIR dimensions (Findable, Accessible,
Interoperable, Reusable) from the data-sharing fields the package already
records. Each dimension is scored 0, 1, or 2, and fair_total is their sum
(0 to 8). The rubric is deliberately simple and documented so the scoring is
reproducible and open to criticism (issue #19); it is a screening instrument,
not a certified FAIR assessment.
score_fair(data)score_fair(data)
data |
A data frame with the columns |
The four dimensions are scored as follows.
Findable (persistent identifier and registered location):
2: the data is in a registered repository (das_repo_name is set)
and a repository link or dataset DOI is present.
1: a data location is stated (das_type is "available in online
repository", or a das_repo_url is present) but without a recognised
repository, or the data is in the paper or its supplement.
0: no data location (no DAS, "on request", or "not shareable").
Accessible (can a reader get the data without a barrier):
2: a repository or supplement link is present (das_repo_url or
supp_url), so the data is directly retrievable.
1: the data is stated to be in the paper or supplement but no link is recorded.
0: "on request", "not shareable", or no DAS.
Interoperable (open, machine-readable shared formats), from
supp_file_type:
2: any open machine-readable format (csv, txt, tsv, json, xml).
1: structured but proprietary formats only (xlsx, docx, sav, dta).
0: unstructured only (pdf, images), or no shared files.
Reusable (license and repository metadata). Because a license column is not yet collected for these datasets, this dimension is scored from the repository signal as a lower bound:
2: data in a recognised repository (das_repo_name set), which
normally carries a license and rich metadata.
1: a data location is stated but not in a recognised repository.
0: no shared data.
When a license column is added (see issue #19), raise this dimension to use
it directly.
Note that Accessible scores the shared files, not the authors' intent. A
paper whose das_type is "on request" or "not shareable" can still score 2
on Accessible if it ships a supplement with a supp_url, because that
supplement is directly retrievable. The das_type value stays visible
alongside the score, so a restricted-data paper that still shares a
supplement is distinguishable from a fully open one.
data with five integer columns added: fair_findable,
fair_accessible, fair_interoperable, fair_reusable, and fair_total.
scored <- score_fair(ploswater) table(scored$fair_total)scored <- score_fair(ploswater) table(scored$fair_total)
A curated list of articles from the Research section of the newsletter North Carolina Water News, 2020 to 2023.
uncnewsletteruncnewsletter
uncnewsletterID number of the paper on the journal website
Volume number of the journal
Official website url of the paper
Publisher website of the paper
Full name of the journal
Title of the paper
Year of publication
Whether the paper has supplementary materials
Number of supplementary material files
File types of the supplementary materials, separated by "; " when there are multiple
Website urls of the supplementary materials, separated by "; " when there are multiple
Number of the authors
Name of the first author
Academic affiliation of the first author
Country of the first author directly parsed from first_author_affiliation variable encoded with United Nation names
ORCID of the first author
Name of the correspondence author
Academic affiliation of the correspondence author
Country or region of the correspondence author directly parsed from correspondence_author_affiliation variable encoded with United Nation names
ORCID of the correspondence author
Whether the paper has a data availability statement
Original data availability statement of the paper. NA if it does not have a data availability statement.
Type of the data availability statement including in paper(data in full paper scope like supplementary material or appendix or main content) on request(data available on request to the authors) available in online repository(data is shared in a public online repository) not shareable(data is not shareable). NA if it does not have a data availability statement.
Website urls of the data if the relevant data of the paper is shared on a public repository, separated by "; " when there are multiple
Number of citations of the paper, as entered by the annotators during the manual collection in January 2024 or earlier; the source of the count is not documented. NA where no value was entered.
Keywords of the paper, separated by "; "
DOI of the paper, backfilled via a Crossref title search (issue #20); NA where no match cleared the title-similarity threshold.
This dataset is frozen. The newsletter ceased publication in May 2024, so the dataset is still built with every release but no longer updated.
All articles of the Journal of Water, Sanitation and Hygiene for Development, an IWA journal, from its first volume in 2011. The dataset is updated monthly. Each data release adds the journal issues published since the last one. Scraped from iwaponline.com by data-raw/iwa_scraping.R.
washdevwashdev
washdevID number of the paper on the journal website
Volume number of the journal
Issue number of the journal
Official website url of the paper
Full name of the journal
Title of the paper
Year of publication
Whether the paper has supplementary materials
Number of supplementary material files
File types of the supplementary materials, separated by "; " when there are multiple
Website urls of the supplementary materials, separated by "; " when there are multiple
Number of the authors
Name of the first author
Academic affiliation of the first author
Country of the first author parsed from first_author_affiliation, encoded with United Nations names
ORCID of the first author
Name of the correspondence author
Academic affiliation of the correspondence author
Country of the correspondence author parsed from correspondence_author_affiliation, encoded with United Nations names
ORCID of the correspondence author
Whether the paper has a data availability statement
Original data availability statement of the paper. NA if it does not have a data availability statement.
Type of the data availability statement including in paper(data in full paper scope like supplementary material or appendix or main content) on request(data available on request to the authors) available in online repository(data is shared in a public online repository) not shareable(data is not shareable). NA if it does not have a data availability statement.
Website urls of the data if the relevant data of the paper is shared on a public repository, separated by "; " when there are multiple
Keywords of the paper, separated by "; "
Publisher website of the paper
DOI of the paper. Collected by the R scraper for recent articles and backfilled via Crossref for legacy rows (issue #20); NA where no Crossref match was found.
Water Supply is an IWA journal covering drinking water supply, treatment and distribution. Coverage starts in 2001. The dataset is updated monthly. Each data release adds the journal issues published since the last one. Scraped from iwaponline.com by data-raw/iwa_scraping.R (#32-#34).
wsws
wsID number of the paper on the journal website
Volume number of the journal
Issue number of the journal, as text because combined issues (for example "1-2") occur
Official website url of the paper
Full name of the journal
Title of the paper
Year of publication
Whether the paper has supplementary materials
Number of supplementary material files
File types of the supplementary materials, separated by "; " when there are multiple
Website urls of the supplementary materials, separated by "; " when there are multiple
Number of the authors
Name of the first author
Academic affiliation of the first author
Country of the first author parsed from first_author_affiliation, encoded with United Nations names
ORCID of the first author
Name of the correspondence author
Academic affiliation of the correspondence author
Country of the correspondence author parsed from correspondence_author_affiliation, encoded with United Nations names
ORCID of the correspondence author
Whether the paper has a data availability statement
Original data availability statement of the paper. NA if it does not have a data availability statement.
Type of the data availability statement including in paper(data in full paper scope like supplementary material or appendix or main content) on request(data available on request to the authors) available in online repository(data is shared in a public online repository) not shareable(data is not shareable). NA if it does not have a data availability statement.
Website urls of the data if the relevant data of the paper is shared on a public repository, separated by "; " when there are multiple
Keywords of the paper, separated by "; "
Publisher website of the paper
DOI of the paper. Collected by the R scraper; populated for every row