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Regionaal Archief Nijmegen (RAN) is part of the municipality of Nijmegen. RAN has been designated as the repository for the municipality of Nijmegen, neighboring municipalities (Berg en Dal, Beuningen, Druten, Heumen, Lingewaard, Wijchen, Mook and Middelaar, West Maas and Waal), a regional water authority (Waterschap Rivierenland) and a number of joint arrangements (cooperative ventures between different public authorities). According to the 1995 Public Records Act we have a legal duty to manage government archives, make them accessible and available to the public. We also manage archives of individuals and private organizations in Nijmegen and the region, audiovisual material and a library.
Regionaal Archief Alkmaar (RAA) is a joint arrangement that operates within a large region in the province of Noord-Holland. The first purpose of this arrangement is to fulfill the function of a regional knowledge and information center through the acquisition and preservation of a broad collection of historical sources. The second purpose is to make these sources actively available. It does so according to the Dutch Public Records Act (Archiefwet 1995). At the time of writing, the joint arrangement services include 9 municipalities, namely: Alkmaar, Bergen, Castricum, Den Helder, Heiloo, Hollands Kroon, Schagen, Dijk en Waard and Texel. The arrangement also includes other joint arrangements. These are the GGD Hollands Noorden and Veiligheidsregio Noord-Holland Noord. Also, the RAA keeps the archives of the water authority Hoogheemraadschap Hollands Noorderkwartier and its predecessors. This is being done on the basis of a service agreement. Finally many archives of families, persons of interest, companies and non-governmental organizations are being collected and managed. This is a secondary task of the RAA, but these archives are also being managed on the ground of the Dutch Public Records Act.
Online storage, sharing and registration of research data, during the research period and after its completion. DataverseNL is a shared service provided by participating institutions and DANS.
OpenML is an open ecosystem for machine learning. By organizing all resources and results online, research becomes more efficient, useful and fun. OpenML is a platform to share detailed experimental results with the community at large and organize them for future reuse. Moreover, it will be directly integrated in today’s most popular data mining tools (for now: R, KNIME, RapidMiner and WEKA). Such an easy and free exchange of experiments has tremendous potential to speed up machine learning research, to engender larger, more detailed studies and to offer accurate advice to practitioners. Finally, it will also be a valuable resource for education in machine learning and data mining.