#LYD17 Message of the Day: Data quality is the degree to which data meets the purposes and requirements of its use. Depending on the uses, good quality data may refer to complete, accurate, credible, consistent, or “good enough” data.
Good data quality needs to be planned for and managed throughout the data lifecycle. Poor quality data can lead to incorrect analysis, misleading findings, and...
Love Your Data (LYD) week 2017 is right around the corner…actually it is next week, February 13-17, 2017. In preparation, we will revisit posts on the UNH Research Office blog from the past two years related to research data management.
In October, 2016, this site featured a post on a new PLOS Ten Simple Rules document about data management. That document, entitled, Ten Simple Rules for...
This summer, the UNH Responsible Conduct of Research (RCR) and Scholarly Activity Committee announced the release of its RCR Library Guide. This RCR library guide (often referred to as a LibGuide) joins a host of other library guides that provide information on general topics (e.g., Data Toolkit at UNH, Scholarly Communication and Open Access) as well as those developed for specific courses. ...
The Office of Research Integrity (ORI) has developed two separate sets of resources to promote research integrity.
The first is a series of infographics that researchers, instructors, mentors, or administrators can use to help promote research integrity at an institution. They include the following:
5 Ways Supervisors Can Promote Research Integrity
Possible Red Flags of Research Misconduct...
In the September 2016 Semiannual Report to Congress, the National Science Foundation (NSF) Office of Inspector General (OIG) reports on a series of misconduct investigations, involving data fabrication and plagiarism (starting on page 21).
The report details research misconduct findings from the past 6 months. The titles of the cases provide a good indication of what they involved: