Sharing Big Data

Single-Investigator Culture, Accidental Data Contamination, and Geopolitics of Data Ownership: Three Challenges of Data Sharing in Big Data Science, Cyberinfrastructure, and Cooperative Scientific Work

While the vision of data sharing for big data science, cyberinfrastructure, and cooperative scientific work is exciting, the practice is full of challenges. Based on qualitative methods guided by grounded theory and 70 interviews, three such challenges are presented in this paper. They are single-investigator culture in traditional academic, accidental data contamination, and geopolitics of dat...

Efficient resource sharing for big data applications in shared clusters

Sharing Health Big Data for Research - A Design by Use Cases: The INSHARE Platform Approach

Sharing and exploiting Health Big Data (HBD) allow tackling challenges: data protection/governance taking into account legal, ethical, and deontological aspects enables trust, transparent and win-win relationship between researchers, citizens, and data providers. Lack of interoperability: compartmentalized and syntactically/semantica heterogeneous data. INSHARE project using experimental proof ...

An ecosystem perspective on asset management information

Big Data and Internet of Things will increase the amount of data on asset management exceedingly. Data sharing with an increased number of partners in the area of asset management is important when developing business opportunities and new ecosystems. An asset management ecosystem is a complex set of relationships between parties taking part in asset management actions. In this paper, the curre...

Optimizing I/O for Big Array Analytics

Big array analytics is becoming indispensable in answering important scientific and business questions. Most analysis tasks consist of multiple steps, each making one or multiple passes over the arrays to be analyzed and generating intermediate results. In the big data setting, I/O optimization is a key to efficient analytics. In this paper, we develop a framework and techniques for capturing a...