Developing Professional Skills in STEM Students: Data Information Literacy

Autor/inn/en	Zilinski, Lisa D.; Sapp Nelson, Megan; Van Epps, Amy S.
Titel	Developing Professional Skills in STEM Students: Data Information Literacy
Quelle	In: Issues in Science and Technology Librarianship, (2014) 77, (7 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	None
DOI	10.5062/F42V2D2Z
Schlagwörter	STEM Education; Skill Development; Undergraduate Students; Information Literacy; Data; Information Skills; Electronic Libraries; Databases; Check Lists; Teaching Methods; Educational Practices; Research Skills; Competency Based Education; Case Studies; Communication Skills; Library Role; Library Services; Scientific and Technical Information + Suchen Sie Ihr Suchwort? STEM; Kompetenzentwicklung; Qualifikationsentwicklung; Informationskompetenz; Daten; Orientierungswissen; Digitale Bibliothek; Elektronische Bibliothek; Datenbank; Checkliste; Teaching method; Lehrmethode; Unterrichtsmethode; Bildungspraxis; Forschungsleistung; Education; Competence; Competency; Competency-based education; Unterricht; Kompetenzorientierte Methode; Case study; Fallstudie; Case Study; Kommunikationsstil; Bibliotheksarbeit
Abstract	Undergraduate STEM students are increasingly expected to have some data use skills upon graduation, whether they pursue post-graduate education or move into industry. This project was an initial foray into the application of data information literacy competencies to training undergraduate students to identify markers of data and information quality. The data consumer training appeared within two courses to help students evaluate data objects, including databases and datasets available on the Internet. The application of the Data Credibility Checklist provides a foundation for developing data reuse competencies. Based upon the initial presentation of the content, it became obvious that students need very basic introductions to data concepts, including definitions for database and dataset, and the process of data object discovery. (As Provided).
Anmerkungen	Science and Technology Section, Association of College and Research Libraries. 50 East Huron Street, Chicago, IL 60611. Web site: http://www.istl.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10