Publikationsserver
Big Earth Data - Towards a Better Understanding of Users and their Training Needs
The introduction of open data policies in the Big Earth data domain leads to an exponential increase of the volume, variety, and velocity of Earth data and to a diversification of users. In addition, the emergence of cloud-based services challenges traditional workflows and is a paradigm-shift in ho...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Autres auteurs: | |
| Format: | Dissertation |
| Langue: | anglais |
| Publié: |
Philipps-Universität Marburg
2022
|
| Sujets: | |
| Accès en ligne: | Texte intégral en PDF |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| Résumé: | The introduction of open data policies in the Big Earth data domain leads to an exponential increase of the volume, variety, and velocity of Earth data and to a diversification of users. In addition, the emergence of cloud-based services challenges traditional workflows and is a paradigm-shift in how users will access, handle and process Big Earth data in the future. To ensure a continued uptake of Big Earth data and to better tailor emerging cloud-based services to user needs, a better understanding on three levels is required: (i) how users currently access and work with Big Earth data, (ii) how they wish to do so in the future and (iii) how evolving training needs to discover, access and process Big Earth can be addressed. Hence, this thesis puts a focus on user requirements and training needs for Big Earth data. The central novelties of this study are:
- a better understanding of users of Big Earth data, with a geographic focus on Europe and the USA & Canada, in terms of the type of data they explore, the applications areas, the way they access and process Big Earth data and the challenges they face
- a better understanding whether users of Big Earth data are motivated to migrate to cloud-based services in the future and of regional as well as sectoral differences of cloud services use and uptake, and
- five guiding principles to make computational notebooks more educational and reusable and to increase their overall quality and applicability for Big Earth data education. |
|---|---|
| Description matérielle: | 136 Seiten |
| DOI: | 10.17192/z2023.0076 |