Bioinformatic databases survey The dataset surveys bioinformatic databases published in the NAR database issue from 1995 to 2022. It evaluates the current number of citations and availability of each ressources. Data content The dataset is composed of two tables : A. Databases table : Contains the information of each database published in the NAR database issue. db_id : Database ID in the dataset resource_name : Name(s) of the database current_access : Latest known web address of the database is_a_pun : The database name is a play on word available_2022 : The database was accessible online during the 2022 survey last_accessible_year : If not accessible, latest point in time where the database was found online (using the Internet web archive snapshots) unavailable_message : If not accessible, the message/error when trying to access the ressource year_first_publication : Year of first publication of the database year_last_publication : Year of latest publication of the database (including database update publications) total_citations_2022 : Cumulative number of citation for all articles of the database nb_authors_max : Maximum number of authors associated to any articles published for that database nb_articles_2022 : Number of articles published for that database in 2022 B. Articles table : Contains the information collected for the NAR articles collector : Person who contributed to add this database in the dataset article_global_id : DOI of the article surveyed db_id : Database ID of the ressource described in the article article_id : Article unique ID article_year : Article publication year Authors : list of authors of the article. Separated by ";" Author.ID : list of ORCID of the authors of the article. Separated by ";" Title : Title of the atricle Source.title : Journal name Volume : Volume number Issue : Issue number Funding.Details : Funding information of the article Funding.Text : Funding text provided by the authors PubMed.ID : Pubmed ID of the article citations_2016 : Number of citations of the article in 2016 (if published) citations_2022 : Number of citations of the article in 2022 nb_authors : Number of authors in the article Index.Keywords : Keywords associated to the publication Data sources Note that the presented dataset leverage and expand on the dataset gathered and published in Imker, H.J., 2020. Who Bears the Burden of Long-Lived Molecular Biology Databases?. Data Science Journal, 19(1), p.8. The original dataset collected by Dr. Imker is available at : https://doi.org/10.13012/B2IDB-4311325_V1 The dataset was collected and is maintained by undergraduate students of a CURE class (Course-based Undergraduate Research Experience) held at the University of Arizona. All students of the class have participated to the collection, update and curation the dataset that is available as a database and a web-portal at https://hurwitzlab.shinyapps.io/DS_Heroes/. Students could elect to be added or not as author to this Zenodo repository. The CURE class BAT102 "Data Science Heroes: An undergraduate research experience in Open Data Science Practices" gives the students an opportunity to learn about open science and investigate open data practices in bioinformatics through a survey of the databases published in the NAR database issue.