
Advancing the practice of data citation: A to‐do list
Author(s) -
Hourclé Joseph A.
Publication year - 2012
Publication title -
bulletin of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8366
pISSN - 0095-4403
DOI - 10.1002/bult.2012.1720380507
Subject(s) - citation , identifier , reuse , cataloging , computer science , data science , world wide web , process (computing) , data sharing , metadata , object (grammar) , knowledge management , engineering , programming language , waste management , medicine , operating system , alternative medicine , pathology , artificial intelligence
Editor's Summary The citation of research data sources is gaining momentum with buy‐in from several influential institutions. The groundwork has been laid, including guidelines for suggested data attributes, identifier systems, easy creation of digital object identifiers (DOIs) and standards for data reuse and exchange. But significant work remains, starting with cataloging archived resources, facilitating the citation process for scientists and building a culture where citing data is the norm. Collaborative efforts will speed success, which deserves recognition, and the researchers, librarians and IT specialists involved deserve credit. Implementing these steps will support the fundamental goal of sharing valuable data while reinforcing the process.