MetaDL: A Digital Library of Metadata for Sensitive or Complex Research Data
Traditional digital library systems have certain limitations when dealing with complex or sensitive (e.g. proprietary) data. Collections of digital libraries have to be accessed individually and through non-uniform interfaces. By introducing a level of abstraction, a Meta- Digital Library or MetaDL, users gain a central access portal that allows for prioritized queries, evaluation and rating of the results, and secure negotiations to obtain primary data. This paper demonstrates the MetaDL architecture with an application in brain imaging research, BrassDL, the Brain Support Access System Digital Library. BrassDL is currently under development. This paper describes a theoretical framework behind it, addressing aspects from metadata extraction and system-supported negotiations to legal, ethical and sustainability issues.
KeywordsPrimary Data Digital Library fMRI Data User Query Data Provider
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- F. Andres, N. Mouaddib, K. Ono, and A. Zhang. Metadata model, resource discovery, and querying on large scale multidimensional datasets: The GEREQ project. In Kyoto International Conference on Digital Libraries, pages 83–90, 2000.Google Scholar
- J. S. Barrett and S. P. J. Koprowski. The epiphany of data warehousing technologies in the pharmaceutical industry. International Journal of Clinical Pharmacology and Therapeutics, 40(3):S3–13, March 2002.Google Scholar
- M. Chicurel. Databasing the brain. Nature, 406:822–825, August 2000.Google Scholar
- European Computerised Human Brain Database (ECHBD). http://fornix.neuro.ki.se/ECHBD/Database.
- J. Ford, F. Makedon, L. Shen, T. Steinberg, A. Saykin, and H. Wishart. Evaluation metrics for user-centered ranking of content in MetaDLs. In Fourth DELOS Workshop on Evaluation of digital libraries: Testbeds, measurements, and metrics, Budapest, Hungary, June 2002.Google Scholar
- D. Gardner, K. H. Knuth, M. Abato, S. M. Erde, T. White, R. DeBellis, and E. P. Gardner. Common data model for neuroscience data and data model exchange. Journal of the American Medical Informatics Association, 8(1):103–104, 2001.Google Scholar
- M. Gelobter. Public data-archiving: a fair return on publicly funded research. Psycoloquy: 3(56) Data Archive (3), 1992.Google Scholar
- M. A. Gonçalves, R. K. France, and E. A. Fox. MARIAN: Flexible interoperability for federated digital libraries. In Proceedings of ECDL 2001, the 5th European Conference on Research and Advanced Technology for Digital Libraries, pages 173–186, Darmstadt, Germany, September 2001. Springer.Google Scholar
- C. Houstis and S. Lalis. ARION: An advanced lightweight software system architecture for accessing scientific collections. Cultivate Interactive, 4, May 2001.Google Scholar
- S. Kapidakis, F. Makedon, L. Shen, T. Steinberg, and J. Ford. A negotiation model for mediated sharing of private digital data, 2002. In preparation.Google Scholar
- S. H. Koslow. Should the neuroscience community make a paradigm shift to sharing primary data? (editorial). Nature Neuroscience, 3:863–865, September 2000.Google Scholar
- S. H. Koslow. Sharing primary data: A threat or asset to discovery? (editorial). Nature Reviews Neuroscience, 3:311–313, April 2002.Google Scholar
- D. Krotz. PET and MRI race to detect early Alzheimer s. AuntMinnie.com, January 2001. http://www.auntminnie.com/index.asp?Sec=nws&sub=rad&=dis&=50098.
- P. Miller. Collected wisdom. D-Lib Magazine, 6(9), September 2000.Google Scholar
- The Organization for Human Brain Mapping (OHBM). http://www.humanbrainmapping.org.
- J. R. Skoyles. FTP internet data archiving: A cousin for psycoloquy. Psycoloquy: 3(29) Data Archive (1), 1992.Google Scholar
- M. Sweet and D. Thomas. Archives described at collection level. D-Lib Magazine, 6(9), September 2000.Google Scholar
- J. D. Van Horn, G. J. S., P. Kostelec, J. B. Woodward, J. A. Aslam, D. Rus, D. Rockmore, and M. S. Gazzaniga. The Functional Magnetic Resonance Imaging Data Center (fMRIDC): The challenges and rewards of large-scale databasing of neuroimaging studies. Philosophical Transactions of the Royal Society of London: Biological Sciences, 356(1412):1323–1339, 2001.CrossRefGoogle Scholar