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Auflistung nach Schlagwort "Data collection"

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  • Konferenzbeitrag
    GDPR-Realitycheck on the right to access data
    (Mensch und Computer 2019 - Tagungsband, 2019) Alizadeh, Fatemeh; Jakobi, Timo; Boldt, Jens; Stevens, Gunnar
    Loyalty programs are early examples of companies commercially collecting and processing personal data. Today, more than ever before, personal information is being used by companies of all types for a wide variety of purposes. To limit this, the General Data Protection Regulation (GDPR) aims to provide consumers with tools to control data collection and processing. What this right concretely means, which types of tools companies have to provide to their customers and in which way, is currently uncertain because precedents from case law are missing. Contributing to closing this gap, we turn to the example of loyalty cards to supplement current implementations of the right to claim data with a user perspective. In our hands-on approach, we had 13 households request their personal data from their respective loyalty program. We investigate expectations of GDPR in general and the right to access in particular, observe the process of claiming and receiving, and discuss the provided data takeouts. One year after the GDPR has come into force, our findings highlight the consumer's expectations and knowledge of the GDPR and in particular the right to access to inform design of more usable privacy enhancing technologies.
  • Textdokument
    Software solutions for form-based, mobile data collection – A comparative evaluation
    (BTW 2019 – Workshopband, 2019) Steinberg, Markus; Schindler, Sirko; Klan, Friederike
    Many citizen science projects rely on their contributors going to the field and collecting data. Due to their wide availability and increasing capability, modern mobile devices have become an indispensable tool to ease the collection process. Projects can publish mobile apps, that allow contributors to easily collect data and submit their results. The requirements of individual projects oftentimes overlap to a large extent, which triggered the development of multiple generic frameworks. They allow new projects to quickly generate customized apps and reuse existing infrastructure. However, the wide landscape of tools with diverging capabilities requires projects to compare and choose. This report supports data managers in making an informed decision. We report on our experiences primarily on the whole data collection workflow starting from setting up your own instance to finally analyzing the retrieved data. We compare eight tools – both free and commercial – according to the features provided and difficulties encountered.