{"id":958,"date":"2024-09-26T10:24:35","date_gmt":"2024-09-26T08:24:35","guid":{"rendered":"https:\/\/news.uni-goettingen.de\/gauss\/?p=958"},"modified":"2024-11-01T09:36:06","modified_gmt":"2024-11-01T08:36:06","slug":"digital-course-data-management-and-data-carpentry-social-sciences-5-nov-17-dec-2024","status":"publish","type":"post","link":"https:\/\/news.uni-goettingen.de\/gauss\/2024\/09\/26\/digital-course-data-management-and-data-carpentry-social-sciences-5-nov-17-dec-2024\/","title":{"rendered":"Digital Course: Data Management and Data Carpentry Social Sciences (5 Nov &#8211; 17 Dec 2024)"},"content":{"rendered":"\n<p>Would you like to improve your research data management and data skills? Do you know how to manage, analyse, visualize and share your data?<\/p>\n\n\n\n<p>During the Winter term 2024\/2025, the University of G\u00f6ttingen offers a digital course on &#8220;<strong>Data Management and Data Carpentry Social Sciences&#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. <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 (5 Nov \u2013 17 Dec 2024) will receive <strong>3 ECTS <\/strong>(Key Competences).&nbsp;<\/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 by<strong> 31 October 2024 <\/strong>via StudIP: <a href=\"https:\/\/studip.uni-goettingen.de\/dispatch.php\/course\/details?sem_id=74a9719e54b77bb1bebc55c28657f4ae\" 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 Dr Birgit Schmidt, <a href=\"mailto:bschmidt@sub.uni-goettingen.de\" target=\"_blank\" rel=\"noreferrer noopener\">bschmidt@sub.uni-goettingen.de<\/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.&nbsp;<\/p>\n\n\n\n<p><strong>Dates: <\/strong>Winter term 2024\/2025, 5 November \u2013 17 December 2024<\/p>\n\n\n\n<p><strong>Schedule:<\/strong><\/p>\n\n\n\n<ul>\n<li>Seminar: 5, 12, and 19 November, 3, 10 and 17 December 2024, 13:00-15:00 h, online<\/li>\n\n\n\n<li>Block week: 25 November 2024, 9-17 CET; 26-29 November 2024, 9:00-13:00 h, online<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Would you like to improve your research data management and data skills? Do you know how to manage, analyse, visualize and share your data?<\/p>\n<p>During the Winter term 2024\/2025, the University of G\u00f6ttingen offers a digital course on &#8220;<strong>Data Management and Data Carpentry Social Sciences&#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. &hellip; <a href=\"https:\/\/news.uni-goettingen.de\/gauss\/2024\/09\/26\/digital-course-data-management-and-data-carpentry-social-sciences-5-nov-17-dec-2024\/\">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":[103,90],"tags":[107,109],"_links":{"self":[{"href":"https:\/\/news.uni-goettingen.de\/gauss\/wp-json\/wp\/v2\/posts\/958"}],"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=958"}],"version-history":[{"count":4,"href":"https:\/\/news.uni-goettingen.de\/gauss\/wp-json\/wp\/v2\/posts\/958\/revisions"}],"predecessor-version":[{"id":2051,"href":"https:\/\/news.uni-goettingen.de\/gauss\/wp-json\/wp\/v2\/posts\/958\/revisions\/2051"}],"wp:attachment":[{"href":"https:\/\/news.uni-goettingen.de\/gauss\/wp-json\/wp\/v2\/media?parent=958"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news.uni-goettingen.de\/gauss\/wp-json\/wp\/v2\/categories?post=958"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news.uni-goettingen.de\/gauss\/wp-json\/wp\/v2\/tags?post=958"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}