Results 21 to 30 of about 1,390,426 (316)
Recovering data integrity after a destructive Malware attack [PDF]
Presented at the National data integrity conference: data sharing: the how, why, when and when not to share held on June 2-3, 2016 at University of Colorado, Denver, Colorado.
Tobin, Donald, author +1 more
core +1 more source
Research data management and integrity practices [PDF]
Presented at the National data integrity conference: enabling research: new challenges & opportunities held on May 7-8, 2015 at Colorado State University, Fort Collins, Colorado.
Trenkle, William C., author +1 more
core +1 more source
What Research Institutions Can Do to Foster Research Integrity [PDF]
In many countries attention for fostering research integrity started with a misconduct case that got a lot of media exposure. But there is an emerging consensus that questionable research practices are more harmful due to their high prevalence. QRPs have
Bouter, Lex, Bouter, Lex; id_orcid
core +1 more source
A biologist's perspective on data integrity and preservation [PDF]
Presented at the National data integrity conference: data sharing: the how, why, when and when not to share held on June 2-3, 2016 at University of Colorado, Denver, Colorado.
Slayden, Richard, author
core +1 more source
Various components are involved in the end-to-end path of data transfer. Protecting data integrity from failures in these intermediate components is a key feature of big data transfer tools.
Preethika Kasu +2 more
doaj +1 more source
A Survey of Blockchain for Video Integrity
Blockchain has become an important alternative in plenty of industries due to its features such as traceability, transparency and data integrity. Blockchain is not only present in the management of structured data-like names, timestamps, addresses and so
Jorge Ceron +2 more
doaj +1 more source
The Hong Kong Principles for assessing researchers: Fostering research integrity [PDF]
For knowledge to benefit research and society, it must be trustworthy. Trustworthy research is robust, rigorous, and transparent at all stages of design, execution, and reporting.
Moher, David +19 more
core +1 more source
Producing reliable information is the ultimate goal of data processing. The ocean of data created with the advances of science and technologies calls for integration of data coming from heterogeneous sources that are diverse in their purposes, business rules, underlying models and enabling technologies.
Olga Brazhnik, John F. Jones
openaire +2 more sources
Taking a Byte Out of Corruption: A Data Analytic Framework for Cities to Fight Fraud, Cut Costs, and Promote Integrity [PDF]
In recent years, the emerging science of data analytics has equipped law enforcement agencies and urban policymakers with game-changing tools. Many leaders and thinkers in the public integrity community believe such innovations could prove equally ...
Center for the Advancement of Public Integrity, +1 more
core +2 more sources

