Science Sonderband “Dealing with Data”

Die aktuelle Ausgabe von Science beschäftigt sich mit den Herausforderungen und Chancen die aus der immer größer werdenden Flut von Forschungsdaten erwachsen. Die Themen umfassen die Herausforderungen großer Datenmengen bei den üblichen Verdächtigen, wie z.B. Hochenergiephysik, Bioinformatik, aber auch Beispiele zu Datamining, Visualisierung und virtuellen Forschungsumgebungen.

Es bleibt jedoch thematisch nicht nur beim technischen. In einem Leitartikel erläutern Brooks Hanson (Deputy Editor for physical science), Andrew Sugden (Deputy Editor for biological sciences and International Managing Editor) und Bruce Alberts (Editor-in-Chief), die Richtlinien ihrer Zeitschrift für den Zugang zu Forschungsdaten. Interessant in der immer wiederkehrenden Diskussion zur Bewertung von Forschungsleistungen ist der Artikel Measuring the Results of Science Investments von Lane und Bertuzzi.

Fox, P., und J. Hendler (2011), Changing the Equation on Scientific Data Visualization, Science, 331(6018), 705 -708, doi:10.1126/science.1197654.

Hanson, B., A. Sugden, und B. Alberts (2011), Making Data Maximally Available, Science, 331(6018), 649, doi:10.1126/science.1203354.

Lane, J., und S. Bertuzzi (2011), Measuring the Results of Science Investments, Science, 331(6018), 678 -680, doi:10.1126/science.1201865.

Science Editorial (2011), Challenges and Opportunities, Science, 331(6018), 692 -693, doi:10.1126/science.331.6018.692.

Service, R. F. (2011), Coming Soon to a Lab Near You: Drag-and-Drop Virtual Worlds, Science, 331(6018), 669 -671, doi:10.1126/science.331.6018.669

The current scientific data infrastructure is based on identifying, funding, and managing high-quality science, not on understanding its impact. The main sources of data on research and development in the United States—the Survey of Federal Funds for Research and Development (the federal funds survey) and the Survey of Federal Science and Engineering Support to Universities, Colleges, and Nonprofit Institutions—were designed to describe the types and levels of science investments, not their impact or effects (4). There are systems available to capture outcomes (for example, various health and economic information systems) but they do not link inputs with outputs and outcomes. Historically, there have been limited resources devoted to rigorous evaluations of science investments (5). Indeed, the roadmap published by the National Science and Technology Council (NSTC) Science of Science Policy Interagency group in 2008, found that “current science and technology investment decisions are based on analyses that lack a strong theoretical and empirical basis” (6).
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