ENLIGHT Courses

Data Management and Data Carpentry for Ecology

About the course

This online course 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. This course is open for Bachelor, Master or PhD students from all ENLIGHT universities, particularly within Applied Informatics, Ecology, Biology, Forestry, Agriculture and related disciplines. The course is recommended to students from 4th 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.

Learning outcomes

As a result of this course, students will have learned the following:

  • 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,
  • Basic concepts, principles and approaches as well as tools for working with data, in particular:
    • 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.
    • Data Cleaning with OpenRefine: Explore, summarize, and clean tabular data reproducibly.
    • Data Analysis and Visualization in R: Import data into R, calculate summary statistics, and create publication-quality graphics.
    • Data Management with SQL: Structure data for database import. Query data within a relational database.

Teaching format

Seminar (6 sessions) and block workshop (1 week)

Extra information on teaching methods: participatory live coding (block course)

Assessment

Assignment and short presentation of results, not graded

Lecturers

Birgit Schmidt, This email address is being protected from spambots. You need JavaScript enabled to view it.

Timo Henne, Péter Kiraly, Julika Mimkes and further instructors

Course dates

Seminar sessions

Tuesdays, 13.00-15.00 - online
4, 11, 18 and 25 November, 9 and 16 December 2025

Block Course

1-5 December 2025 - online
1 December 2025, 9.00 - 17.00 - Data organization in spreadsheets (morning), OpenRefine (afternoon)
2 December 2025, 9.00-13.00 - SQL
3-5 December 2025, 9.00-13.00 - R

  • Entry requirements: enrolled in Applied Informatics, Ecology, Biology, Forestry, Agriculture or related disciplines, former experience in working with research data.
  • Type: virtual course
  • Level: Bachelor, Master, PhD
  • Host: University of Göttingen
  • Focus area: Digitalisation
  • Study Field: Science and Technology
  • Course dates: 4 Nov - 16 Dec 2025
  • Apply by: 6 October 2025
  • ECTS: 3
  • Registration status: Open
  • Number of places available: 20 in total