Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
110 tokens/sec
GPT-4o
56 tokens/sec
Gemini 2.5 Pro Pro
44 tokens/sec
o3 Pro
6 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Data Life Cycle Labs, A New Concept to Support Data-Intensive Science (1212.5596v1)

Published 21 Dec 2012 in cs.DL, physics.comp-ph, and q-bio.QM

Abstract: In many sciences the increasing amounts of data are reaching the limit of established data handling and processing. With four large research centers of the German Helmholtz association the Large Scale Data Management and Analysis (LSDMA) project supports an initial set of scientific projects, initiatives and instruments to organize and efficiently analyze the increasing amount of data produced in modern science. LSDMA bridges the gap between data production and data analysis using a novel approach by combining specific community support and generic, cross community development. In the Data Life Cycle Labs (DLCL) experts from the data domain work closely with scientific groups of selected research domains in joint R&D where community-specific data life cycles are iteratively optimized, data and meta-data formats are defined and standardized, simple access and use is established as well as data and scientific insights are preserved in long-term and open accessible archives.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (11)
  1. Jos Van Wezel (2 papers)
  2. Achim Streit (26 papers)
  3. Christopher Jung (27 papers)
  4. Rainer Stotzka (1 paper)
  5. Silke Halstenberg (1 paper)
  6. Fabian Rigoll (1 paper)
  7. Ariel Garcia (1 paper)
  8. Andreas Heiss (5 papers)
  9. Kilian Schwarz (2 papers)
  10. Martin Gasthuber (3 papers)
  11. André Giesler (1 paper)
Citations (14)

Summary

We haven't generated a summary for this paper yet.