### General information Author: SciLifeLab Data Centre, https://scilifelab.se/data Contact e-mail: datacentre@scilifelab.se DOI: 10.17044/scilifelab.14124014 License: CC BY 4.0 This readme file was last updated: 26-02-2021 Please cite as: SciLifeLab Data Centre (2021). Dataset of bibliographic information about publications on COVID-19 and SARS-CoV-19 by researchers affiliated with a university or research institute in Sweden. https://doi.org/10.17044/scilifelab.14124014 ### Dataset description This is a metadata record for a continuously updated dataset of preprints and journal articles on SARS-CoV-2 and COVID-19 where at least one author has an affiliation with a Swedish university or research institute. The dataset is created as part of the Swedish COVID-19 Data Portal (https://covid19dataportal.se). The dataset is manually curated. The most recent version can be browsed using the following link: https://covid19dataportal.se/publications/. The most recent version can be downloaded as a .JSON file using the following link: https://publications-covid19.scilifelab.se/publications.json. For each entry, the dataset contains information automatically imported from Crossref or PubMed using PMID or DOI such as: publication title, author list, abstract text, journal/preprint server name and other bibliographic information, etc. In addition, each entry is manually assigned to a scientific field, publication type (journal article, preprint, review, etc), acknowledged funder, associated data description and links/accession numbers. Note that for a number of publications (primarily preprints) where automatic import did not work bibliographic information was entered manually. Please note that we cannot guarantee accuracy of any of the information provided in this dataset. We do our best at maintaining the dataset but we do not take responsibility in case any of the provided information turns out to be incorrect or incomplete. We do not recommend using this dataset for analyses/projects which require complete accuracy. Researchers are welcome to use the data contained in the dataset for any projects. Please cite this metadata record upon use or when published. We encourage reuse using the same CC BY 4.0 License. The dataset is maintained using the Publications web-based reference database system, https://github.com/pekrau/Publications, built by Per Kraulis (https://github.com/pekrau) at the SciLifeLab Data Centre. ### Available variables Each entry in the database corresponds to either a preprint or a journal publication. The entries are selected for addition manually on a weekly basis (using alerts from PubMed, Google Scholar, Web of Science, EuropePMC or preprint servers MedRxiv, BioRxiv, Research square etc.). We aim to include all publications which are relevant to SARS-CoV-2 and COVID-19 and where at least one author declared an affiliation to a university or research institute in Sweden. Bibliographic information at the point of addition is automatically imported from PubMed or Crossref. Whenever mistakes were noticed, the information was manually adjusted. When bibliographic information is updated (e.g., journal issue number is assigned or a preprint becomes published), the goal is to update entries but we cannot guarantee that this is done regularly for all entries. Part of the information for each entry (such as categorizations and associated shared data)is added manually. In these cases, the assignments are subjective, and we the decisions were made by the team behind the dataset. Therefore, keep in mind that not everyone may agree with our categorization. Each entry contains the following variables (order of appearance in the JSON file): - 'entity': dataset internal, not useful to external parties - 'luid': dataset internal, not useful to external parties - 'links': dataset internal, not useful to external parties - 'title': Publication title - 'authors': List of authors (family name, given name, initials) - 'type': publication type, assigned automatically (e.g., journal article, editorial, preprint) - 'published': publication date assigned by the journal if available (NB: may not be accurate or up to date and may also be in a coming issue) - 'journal': bibliographic information about the publication (title, issn, volume, issue, pages, etc.) (NB: may not be accurate or up to date) - 'abstract': full abstract text - 'doi': publication DOI - 'pmid': publication PMID - 'labels': categorization of the publication; all assigned manually. ---- 'Type': the type of publication (Journal article, Preprint, Review, Other) ---- 'Category': scientific field of the publication (Biochemistry, Genomics & transcriptomics, Imaging, Proteins, Serology, Drug Discovery, Health, Public Health, Other) ---- 'Funder': funders explicitly acknowledged inside the publication text or corresponding section of the journal article; this was done for only selected funders (Swedish Research Council [VR], SciLifeLab and Knut and Alice Wallenberg Foundation COVID-19 funding [KAW/SciLifeLab], Vinnova, Horizon 2020 [H2020]) ---- 'Research Area': in case the publication was funded by the SciLifeLab and Knut and Alice Wallenberg Foundation COVID-19 funding, a specific research area to which funding was allocated is marked (done for internal report reasons) - 'xrefs': information about shared data associated with this publication or external links; list of shared data; assigned manually. ---- 'db': name of the database; we use common abbreviations. For example, PDB - Protein data bank, dbGaP - database of Genotypes and Phenotypes, Dryad - https://datadryad.org/, etc. URL is used for any other external links. N/A is used when data was either fully provided in the article or reported as being available upon request. ---- 'key': accession number or URL. In some cases, ---- 'description': description of the shared data or what is available in the provided URL. - 'notes': dataset internal, not useful to external parties - 'qc': dataset internal, not useful to external parties - 'created': date the entry was added to the database - 'modified': date the entry was last modified in the database