Data provenance tracking and reporting in a high-security digital research environment.

Objective To protect privacy, routinely-collected data are processed and anonymised by third parties before being used for research. However, the methods used to do this are rarely shared, leaving the resulting research difficult to evaluate and liable to undetected errors. Here, we present a proven...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Bernhard Scheliga, Milan Markovic, Helen Rowlands, Artur Wozniak, Katie Wilde, Jessica Butler
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Swansea University 2022-08-01
סדרה:	International Journal of Population Data Science
נושאים:	Improving data and linkage quality Software development Developing and improving data services Data provenance Knowledge graphs
גישה מקוונת:	https://ijpds.org/article/view/1909
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!