Migrating 120,000 Legacy Publications from Several Systems into a Current Research Information System Using Advanced Data Wrangling Techniques

This article describes a complex CRIS (current research information system) implementation project involving the migration of around 120,000 legacy publication records from three different systems. The project, undertaken by Tampere University, encountered several challenges in data diversity, data quality, and resource allocation. To handle the extensive and heterogenous dataset, innovative approaches such as machine learning techniques and various data wrangling tools were used to process data, correct errors, and merge information from different sources. Despite significant delays and unforeseen obstacles, the project was ultimately successful in achieving its goals. The project served as a valuable learning experience, highlighting the importance of data quality and standardized practices, and the need for dedicated resources in handling complex data migration projects in research organizations. This study stands out for its comprehensive documentation of the data wrangling and migration process, which has been less explored in the context of CRIS literature.Peer reviewe

Wireless Networks in the Library

Tampere University of Technology implemented wireless internet network for public use in the Library in 1999. In this presentation we are reporting technical solutions and experiences of it. Portable computers with a wireless network card installed in to the Library to give students and staff access to the Internet and at the same time use local printed information sources such as books and reference material. Library has been lending computers for students and staff since autumn 1999. User responses will be presented. Altogether students have found wireless computing very useful

Response of forage maize yield and quality to mulch film and harvest time in Northern Europe

Forage maize (Zea mays L.) yield and nutritional quality fluctuate markedly in Northern Europe due to weather conditions. A field experiment was conducted in Southern Finland (Helsinki, 2018-2020) and in Central Finland (Maaninka, Kuopio, 2019-2020) to study the effect of harvest time and use of mulch film, in order to optimize the dry matter (DM) yield and quality. Treatments included oxo-biodegradable mulch film and no mulch, and three har-vest times (the latter only in Helsinki). Mulch film increased DM yield on average by 2.3 Mg ha-1 in Helsinki and by 3.8 Mg ha-1 in Maaninka. Mulch film had a minor effect on the quality, and overall, the quality improved, although DM yield accumulation had already ceased. Nevertheless, the starch contents fluctuated and remained mostly be-low the target rate - 300 g kg-1 DM - especially in Central Finland. The results indicate that mulch film improves forage maize yield, but a late harvest is still required to improve forage quality. However, climate conditions still restrict starch accumulation to ears in Northern European climate conditions, especially in the important milk pro-duction area in Central Finland.Peer reviewe