Diese Woche fand in Essen ein DINI-Nestor Workshop der AG Forschungsdaten zur Auswahl und zur Bewertung von Forschungsdaten statt. Bisher ging es in der Arbeitsgruppe meist um die Frage, wie Forschungsdaten überhaupt langfristig archiviert werden können und was zu unternehmen ist, um Workflows für ein nachhaltiges Datenmanagement zu entwickeln. Grundsätzlich stand dabei auch die Erkenntnis über die Endlichkeit des zur Verfügung stehenden Speichervolumens im Raum. In der Praxis waren jedoch andere Kriterien sehr viel wichtiger.
Mittlerweile hat sich die Situation allerdings entscheidend verändert. Gerade in den Naturwissenschaften fallen enorme Mengen automatisiert erzeugter Daten an. Da etliche Datenzentren nunmehr eine geregelte Tätigkeit aufgenommen haben, mehren sich die Datenmengen rasant. Auswahlkriterien und Evaluationsstrategien gewinnen daher an Bedeutung. Der Workshop der AG Forschungsdaten stellte Herausforderungen und Ansätze zusammen. Die Abstracts zum Workshop geben einen kleinen Einblick in die verhandelten Themen:
http://dini.de/veranstaltungen/workshops/forschungsdaten-auswaehlen-und-bewerten/
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Looks like they finally admit storage limits are a real deal, but the real headache is just how fast data keeps pouring in. The workshop notes that huge volumes of automated data are now exploding, so picking the right selection criteria is the only way out.