{"id":2050,"date":"2025-09-30T13:03:05","date_gmt":"2025-09-30T11:03:05","guid":{"rendered":"https:\/\/news.uni-goettingen.de\/gauss\/?p=2050"},"modified":"2025-10-30T15:07:58","modified_gmt":"2025-10-30T14:07:58","slug":"digital-course-data-management-and-data-carpentry-4-nov-16-dec-2025","status":"publish","type":"post","link":"https:\/\/news.uni-goettingen.de\/gauss\/2025\/09\/30\/digital-course-data-management-and-data-carpentry-4-nov-16-dec-2025\/","title":{"rendered":"Digital Course: Data Management and Data Carpentry (4 Nov &#8211; 16 Dec 2025)"},"content":{"rendered":"\n<p>During the Winter term 2025\/2026, the University of G\u00f6ttingen offers a digital course on &#8220;<strong><a href=\"https:\/\/www.studip.uni-goettingen.de\/dispatch.php\/course\/overview?cid=f08c39bdbeaded495d157eaf4e334dc9\">Data Management and Data Carpentry for Ecology<\/a>&#8221; <\/strong>that will provide you with basic data skills on research data management and an introduction to the use of selected data tools (e.g. OpenRefine, R) necessary for conducting research. <\/p>\n\n\n\n<p><strong>This course is open for Bachelor, Master or PhD students from all ENLIGHT universities,<\/strong> particularly within the Social Sciences and related disciplines. The course is recommended to students from 4<sup>th<\/sup> semester, with some former experience in working with research data. Participants are encouraged to help each other and apply what they have learned to their own research problems.<\/p>\n\n\n\n<p>As a result of this course, students will have learned the following:<\/p>\n\n\n\n<ul>\n<li>Basic knowledge of data management, esp. data lifecycle, FAIR and Open Data, function and structure of data management plans, research data guidelines, infrastructures and services,&nbsp;<\/li>\n\n\n\n<li>Basic concepts, principles and approaches as well as tools for working with data, in particular:\n<ul>\n<li>Data Organization in Spreadsheet: Basics of how to organize tabular data, handle date formatting, carry out quality control and quality assurance and export data to use with downstream applications.<\/li>\n\n\n\n<li>Data Cleaning with OpenRefine: Explore, summarize, and clean tabular data reproducibly.<\/li>\n\n\n\n<li>Data Analysis and Visualization in R: Import data into R, calculate summary statistics, and create publication-quality graphics.<\/li>\n\n\n\n<li>Data Management with SQL: Structure data for database import. Query data within a relational database.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p>Participants who complete the assignment and assessment of the whole course (4 Nov \u2013 16 Dec 2025) will receive <strong>3 ECTS <\/strong>(Key Competences).\u00a0<\/p>\n\n\n\n<p><strong><em>Are you i<\/em><\/strong><strong><em>nterested in joining the course?<\/em><\/strong><\/p>\n\n\n\n<p>Please <strong>register<\/strong> for this course via StudIP: <a href=\"https:\/\/studip.uni-goettingen.de\/dispatch.php\/course\/details?sem_id=f08c39bdbeaded495d157eaf4e334dc9&amp;again=yes\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/studip.uni-goettingen.de\/dispatch.php\/course\/details?sem_id=74a9719e54b77bb1bebc55c28657f4ae<\/a><\/p>\n\n\n\n<p>In case of questions please contact <a href=\"mailto:bschmidt@sub.uni-goettingen.de\" target=\"_blank\" rel=\"noreferrer noopener\">Dr. Birgit Schmidt<\/a>. Be aware that the <strong>course will be open for about 20 participants from the University of G\u00f6ttingen. <\/strong>Additional seats are available for students from ENLIGHT partner universities.\u00a0<\/p>\n\n\n\n<p><strong>Dates: <\/strong>Winter term 2025\/2026, 4 November \u2013 16 December 2025<\/p>\n\n\n\n<p><strong>Schedule:<\/strong><\/p>\n\n\n\n<ul>\n<li>Seminar: Tuesdays, 4, 11, 18 and 25 November, 9 and 16 December 2025, 13:00-15:00 h, online<\/li>\n\n\n\n<li>Block Course (online): <\/li>\n\n\n\n<li>1 December 2025, 9.00 &#8211; 17.00 h &#8211; Data organization in spreadsheets (morning), OpenRefine (afternoon)<\/li>\n\n\n\n<li>2 December 2025, 9.00-13.00 h &#8211; SQL<\/li>\n\n\n\n<li>3-5 December 2025, 9.00-13.00 h &#8211; R<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>During the Winter term 2025\/2026, the University of G\u00f6ttingen offers a digital course on &#8220;<strong><a href=\"https:\/\/www.studip.uni-goettingen.de\/dispatch.php\/course\/overview?cid=f08c39bdbeaded495d157eaf4e334dc9\">Data Management and Data Carpentry for Ecology<\/a>&#8221; <\/strong>that will provide you with basic data skills on research data management and an introduction to the use of selected data tools (e.g. OpenRefine, R) necessary for conducting research. &hellip; <a href=\"https:\/\/news.uni-goettingen.de\/gauss\/2025\/09\/30\/digital-course-data-management-and-data-carpentry-4-nov-16-dec-2025\/\">Continued<\/a><\/p>\n","protected":false},"author":18,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[240,238],"tags":[236,244],"_links":{"self":[{"href":"https:\/\/news.uni-goettingen.de\/gauss\/wp-json\/wp\/v2\/posts\/2050"}],"collection":[{"href":"https:\/\/news.uni-goettingen.de\/gauss\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news.uni-goettingen.de\/gauss\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news.uni-goettingen.de\/gauss\/wp-json\/wp\/v2\/users\/18"}],"replies":[{"embeddable":true,"href":"https:\/\/news.uni-goettingen.de\/gauss\/wp-json\/wp\/v2\/comments?post=2050"}],"version-history":[{"count":1,"href":"https:\/\/news.uni-goettingen.de\/gauss\/wp-json\/wp\/v2\/posts\/2050\/revisions"}],"predecessor-version":[{"id":2052,"href":"https:\/\/news.uni-goettingen.de\/gauss\/wp-json\/wp\/v2\/posts\/2050\/revisions\/2052"}],"wp:attachment":[{"href":"https:\/\/news.uni-goettingen.de\/gauss\/wp-json\/wp\/v2\/media?parent=2050"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news.uni-goettingen.de\/gauss\/wp-json\/wp\/v2\/categories?post=2050"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news.uni-goettingen.de\/gauss\/wp-json\/wp\/v2\/tags?post=2050"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}