{"id":2286,"date":"2022-03-02T11:29:42","date_gmt":"2022-03-02T11:29:42","guid":{"rendered":"https:\/\/codata.org\/blog\/?p=2286"},"modified":"2022-03-02T11:29:42","modified_gmt":"2022-03-02T11:29:42","slug":"february-2022-publications-in-the-data-science-journal","status":"publish","type":"post","link":"https:\/\/codata.org\/blog\/2022\/03\/02\/february-2022-publications-in-the-data-science-journal\/","title":{"rendered":"February 2022: Publications in the Data Science Journal"},"content":{"rendered":"<p><img decoding=\"async\" src=\"https:\/\/codata.org\/wp-content\/uploads\/2020\/03\/dsj.png\" \/><\/p>\n<table border=\"0\" width=\"100%\">\n<tbody>\n<tr>\n<td align=\"left\" valign=\"top\"><\/td>\n<td align=\"left\" valign=\"top\"><strong><a href=\"https:\/\/codata.org\/blog\/wp-content\/uploads\/2022\/03\/2022-06.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2289 size-thumbnail alignleft\" src=\"https:\/\/codata.org\/blog\/wp-content\/uploads\/2022\/03\/2022-06-150x150.png\" alt=\"\" width=\"150\" height=\"150\" \/><\/a>Title:<\/strong> A Deep-Learning Method for the Prediction of Socio-Economic Indicators from Street-View Imagery Using a Case Study from Brazil<br \/>\n<strong>Author:<\/strong> Jeaneth Machicao, Alison Specht, Danton Vellenich, Leandro Meneguzzi, Romain David, Shelley Stall, Katia Ferraz, Laurence Mabile, Margaret O\u2019Brien, Pedro Corr\u00eaa<br \/>\n<strong>URL: <a href=\"http:\/\/doi.org\/10.5334\/dsj-2022-006\">http:\/\/doi.org\/10.5334\/dsj-2022-006<\/a><\/strong><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" valign=\"top\"><\/td>\n<td align=\"left\" valign=\"top\"><strong><a href=\"https:\/\/codata.org\/blog\/wp-content\/uploads\/2022\/03\/2022-05.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2288 size-thumbnail alignleft\" src=\"https:\/\/codata.org\/blog\/wp-content\/uploads\/2022\/03\/2022-05-150x150.png\" alt=\"\" width=\"150\" height=\"150\" \/><\/a>Title:<\/strong> Developing Metrics for NASA Earth Science Interdisciplinary Data Products and Services<br \/>\n<strong>Author:<\/strong> Zhong Liu , Chung-Lin Shie, Anthony J. Ritrivi, Guang-Dih Lei, Gary T. Alcott, Mary Greene, James Acker, Jennifer C. Wei, David J. Meyer, Angela Li, Atheer F. Al-Jazrawi<br \/>\n<strong>URL: <a href=\"http:\/\/doi.org\/10.5334\/dsj-2022-005\">http:\/\/doi.org\/10.5334\/dsj-2022-005<\/a><\/strong><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" valign=\"top\"><\/td>\n<td align=\"left\" valign=\"top\"><strong><a href=\"https:\/\/codata.org\/blog\/wp-content\/uploads\/2022\/03\/2022-04.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2287 size-thumbnail alignleft\" src=\"https:\/\/codata.org\/blog\/wp-content\/uploads\/2022\/03\/2022-04-150x150.png\" alt=\"\" width=\"150\" height=\"150\" \/><\/a>Title:<\/strong> OSSDIP: Open Source Secure Data Infrastructure and Processes Supporting Data Visiting<br \/>\n<strong>Author:<\/strong> Martin Weise , Filip Kovacevic, Nikolas Popper, Andreas Rauber<br \/>\n<strong>URL: <a href=\"http:\/\/doi.org\/10.5334\/dsj-2022-004\">http:\/\/doi.org\/10.5334\/dsj-2022-004<\/a><\/strong><\/td>\n<\/tr>\n<tr>\n<td align=\"left\" valign=\"top\"><\/td>\n<td align=\"left\" valign=\"top\"><strong><a href=\"https:\/\/codata.org\/blog\/wp-content\/uploads\/2022\/03\/2022-03.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2290 size-thumbnail alignleft\" src=\"https:\/\/codata.org\/blog\/wp-content\/uploads\/2022\/03\/2022-03-150x150.png\" alt=\"\" width=\"150\" height=\"150\" \/><\/a>Title:<\/strong> Guidelines for Publicly Archiving Terrestrial Model Data to Enhance Usability, Intercomparison, and Synthesis<br \/>\n<strong>Author: <\/strong>Maegen B. Simmonds, William J. Riley, Deborah A. Agarwal, Xingyuan Chen, Shreyas Cholia, Robert Crystal-Ornelas, Ethan T. Coon, Dipankar Dwivedi, Valerie C. Hendrix, Maoyi Huang, Ahmad Jan, Zarine Kakalia, Jitendra Kumar, Charles D. Koven, Li Li, Mario Melara, Lavanya Ramakrishnan, Daniel M. Ricciuto, Anthony P. Walker, Wei Zhi, Qing Zhu, Charuleka Varadharajan<br \/>\n<strong>URL: <a href=\"http:\/\/doi.org\/10.5334\/dsj-2022-003\">http:\/\/doi.org\/10.5334\/dsj-2022-003<\/a><\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>Title: A Deep-Learning Method for the Prediction of Socio-Economic Indicators from Street-View Imagery Using a Case Study from Brazil Author: Jeaneth Machicao, Alison Specht, Danton Vellenich, Leandro Meneguzzi, Romain David, Shelley Stall, Katia Ferraz, Laurence Mabile, Margaret O\u2019Brien, Pedro Corr\u00eaa URL: http:\/\/doi.org\/10.5334\/dsj-2022-006 Title: Developing Metrics for NASA Earth Science Interdisciplinary Data Products and Services Author: [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-2286","post","type-post","status-publish","format-standard","hentry","category-data-science-journal"],"_links":{"self":[{"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/posts\/2286","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/comments?post=2286"}],"version-history":[{"count":1,"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/posts\/2286\/revisions"}],"predecessor-version":[{"id":2291,"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/posts\/2286\/revisions\/2291"}],"wp:attachment":[{"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/media?parent=2286"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/categories?post=2286"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/codata.org\/blog\/wp-json\/wp\/v2\/tags?post=2286"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}