Know Thy Sensor: Trust, Data Quality, and Data Integrity in Scientific Digital Libraries

For users to trust and interpret the data in scientific digital libraries, they must be able to assess the integrity of those data. Criteria for data integrity vary by context, by scientific problem, by individual, and a variety of other factors. This paper compares technical approaches to data integrity with scientific practices, as a case study in the Center for Embedded Networked Sensing (CENS). The goal of this research is to identify functional requirements for digital libraries of scientific data that will serve this community. Data sources include analysis of documents produced by the CENS data integrity group and interviews with science and technology researchers within CENS.

• Type: Conference
• Year: 2007
• Where: ERCIMDL
• Authors: Jillian C. Wallis, Christine L. Borgman, Matthew S. Mayernik, Alberto Pepe, Nithya Ramanathan, Mark H. Hansen
• Keywords: Data Integrity, Data Integrity Vary, ERCIMDL 2007, Scientific