Internet of Things (IoT) has the potential to transform many domains of human activity, enabled by the collection of data from the physical world at a massive scale. As the projected growth of IoT data exceeds that of available network capacity, transferring it to centralized cloud data centers is infeasible. Edge computing aims to solve this problem by processing data at the edge of the network, enabling applications with specialized requirements that cloud computing cannot meet. The current market of platforms that support building IoT applications is very fragmented, with offerings available from hundreds of companies with no common architecture. This threatens the realization of IoT's potential: with more interoperability, a new class of applications that combine the collected data and use it in new ways could emerge. In this thesis, promising IoT platforms for edge computing are surveyed. First, an understanding of current challenges in the field is gained through studying the available literature on the topic. Second, IoT edge platforms having the most potential to meet these challenges are chosen and reviewed for their capabilities. Finally, the platforms are compared against each other, with a focus on their potential to meet the challenges learned in the first part. The work shows that AWS IoT for the edge and Microsoft Azure IoT Edge have mature feature sets. However, these platforms are tied to their respective cloud platforms, limiting interoperability and the possibility of switching providers. On the other hand, open source EdgeX Foundry and KubeEdge have the potential for more standardization and interoperability in IoT but are limited in functionality for building practical IoT applications.

Most of the 100+ Finnish scholarly journals are published by small learned societies. Since 2015, the National Library of Finland and the Federation of Finnish Learned Societies have been working on a joint project which aims to provide the journals with the support they need for making a transition to open access. The project has launched an OJS-based shared publication platform (Journal.fi), which is already used by 50 journals. It has also been developing a new funding model for the journals. Since the subscription and licensing costs paid by the research libraries for these journals have been very small, it is not possible to simply use these funds to pay for open access. Instead, the project has been working on a consortium-based model, under which the Finnish research organizations and funders would commit themselves to providing long-term funding to the journals. In return, the journals would pledge to follow strict standards in openness, licensing, peer review and infrastructure.