WiNoDa Community
The WiNoDa team has developed four personas to help make the community more tangible and relatable. Below, you will find a detailed description of each persona.
Anita, Academic
Age: 32
Field of Expertise: Archaeobotany
Professional Status: 2nd-year PhD student
Background and Education: Anita is an international PhD candidate researching an archaeobotanical collection at the University of Tübingen. She collaborates closely with the Museum of London Archaeology and the University of Birmingham in the UK. Her academic career has provided her with deep theoretical knowledge, but she has had limited opportunities to apply this knowledge practically.
read about Anita's challenges, needs and motivation...
Professional Challenges: Anita is enthusiastic and energetic, but lacks practical experience in areas that haven’t been relevant to her career thus far. These knowledge gaps include proper data archiving, data management, and the creation of data management plans.
Learning Needs and Preferences: As Anita is from abroad, she is not very familiar with the German data infrastructure and privacy laws. She needs practical, up-to-date learning offerings to help close these gaps. She also values methodological courses in data analysis and specific archaeobotanical methods. Anita appreciates interactive formats and modern teaching methods that allow for flexible learning, as she has many other tasks alongside her research work.
Personal Traits and Motivation: Anita faces many new challenges during her PhD. She has a solid foundation of knowledge but knows that she must develop expert knowledge in specific areas. Due to her international experience, she is open to different approaches and methods and values intercultural exchange. Therefore, her learning offerings should not only convey sound expertise but also address her international experiences.
Dave, Data Player
Age: 40
Field of Expertise: Data Science
Professional Status: Experienced professional, recently moved to the Museum of Natural History Berlin
Background and Education: After a decade of working as a data scientist in the private sector, Dave recently took on a new challenge at the Museum of Natural History Berlin.
read about Dave's challenges, needs and motivation...
Professional Challenges: For the first time in his career, Dave has to work with collection-related object data, which presents new dimensions and specific demands for his work. Although he has extensive knowledge and experience in data analysis, working with the specific data sources, data quality, and methods of data generation in a museum context is new to him.
Learning Needs and Preferences: Dave is particularly interested in current trends such as Artificial Intelligence (AI). He wants to learn more about these technologies to explore whether and how they can be integrated into his work. Although he brings substantial applied knowledge and some expertise, there are areas where he has only basic knowledge or no prior knowledge, particularly in handling museum data.
Personal Traits and Motivation: Dave is a curious learner who is always eager to expand his knowledge and understand, and apply new technologies. He rates his knowledge in many areas of data science highly and has high expectations for the quality of data and methods he works with. Dave is looking for educational opportunities that will help him deepen his skills in the context of collection-related data.
Susan, Senior Scientist
Age: 58
Field of Expertise: Natural Sciences, specialising in Insect Research
Professional Status: Experienced scientist and leader at the Senckenberg Society for Nature Research
Background and Education: Susan is a highly regarded scientist with decades of experience in insect research. She has been successfully working at the Senckenberg Society for Nature Research for many years and has established herself as an expert there.
read about Susan's challenges, needs and motivation...
Professional Challenges: As an experienced scientist and leader, Susan faces the challenge of keeping up with the latest developments in data science and related fields. Although she has a high level of expertise, there are many new methods and technologies with which she is only minimally familiar. Particularly in the field of data science, there are many knowledge gaps she wants to close. She is also looking for professional development opportunities for her employees.
Learning Needs and Preferences: Susanne prefers proven learning formats such as lectures and learning videos, which she is familiar with and values from her long academic career. She is looking for low-threshold offerings that provide her with a comprehensive overview of current developments in data science and their application in the natural sciences.
Personal Traits and Motivation: Despite having deep expertise, Susan increasingly feels that she is unable to keep up with new developments. She is open to new technologies and methods, but needs structured and understandable learning offerings that can be easily integrated into her busy work life. Her years of experience make her a critical and reflective learner who always focuses on the practical utility of new developments.
Kai, Curator
Age: 50
Field of Expertise: Natural History, specialising in Curation
Professional Status: Curator at the State Museum of Natural History Stuttgart
Background and Education: Kai works as a curator at the State Museum of Natural History Stuttgart, responsible for providing data usable for data science in object digitisation projects. His career is marked by extensive experience in curation and digitising museum collections. His work particularly focuses on rescuing and digitising historical data and databases.
read about Kai's challenges, needs and motivation...
Professional Challenges: Kai must ensure that the digitised data meets the high standards of data science and is efficiently usable. Despite his extensive applied knowledge in curation, he wants to improve his skills and further his education in new, practical methods. The rapid progress in digitisation technologies and methods presents the challenge of staying up to date.
Learning Needs and Preferences: Kai places great value on practical learning offerings that are directly applicable to his daily work. He is looking for educational formats that help him deepen his existing knowledge and acquire new, relevant skills. As he already has much applied knowledge, he wants to focus particularly on advanced techniques and best practices.
Personal Traits and Motivation: Kai is a practice-oriented professional who is always striving to improve the quality of his work. He values practical learning formats that provide concrete tools and methods he can directly apply in his digitisation projects. His motivation stems from the desire to preserve historical data in the best possible way and make it accessible to science.