Plenary 4: Research Data
- Raf Dekeyser ()
Dr. Wolfram Horstmann (Oxford U.)
What will be the practical implications of research data policies for the everyday life of researchers or institutional and commercial service portfolios? The question is not new: the German Research Foundation DFG addressed data management as part of the recommendations for safeguarding good scientific practice in 1998 , the National Institute of Health NIH in the US presented a draft...
Mrs. Donatella Castelli (Univ. Pisa)
The advent of the new paradigm of science largely based on data analysis and mining is having a relevant impact on Scholarly Communication. In order to document their work scholars are starting to publish not only research papers but also to make available the experimental datasets and the tools used for achieving such results. The availability of these products facilitates the...
Mr. Kevin Ashley (Univ. Edinburgh)
Everyone who wants data wants high-quality data, and curation processes are designed to improve data quality. Since we are all agreed on these things there should be little to discuss. But in practice we use 'quality' to mean different things, and our curation processes emphasise some quality dimensions at the expense of others. This is not always beneficial to the research process. I will...
Dr. Tim Smith (CERN)
Whether large or small, data sets need to be managed. Scale however makes standard data operations more challenging, especially when the data sets expand beyond the capacities of a single data centre. Consequently replication, migration and archival require optimised, sometimes domain specific solutions. Tim will illustrate the HEP approach by describing how CERN collected 100 petabytes of...