Ịgụ na ide data
Ịgụ na ide data bụ ikike ịgụ, ịghọta, ịmepụta, na ikwurịta okwu data dị ka ozi. Dị ka ịgụ na ide dị ka echiche n'ozuzu, ịgụ na ide data na-elekwasị anya na ikike metụtara ịrụ ọrụ na data. Otú ọ dị, ọ bụghị ihe yiri ikike ịgụ ederede ebe ọ chọrọ nkà ụfọdụ metụtara ịgụ na ịghọta data.[1]
Ihe ndị mere n'oge gara aga[dezie | dezie ebe o si]
Ka nchịkọta data na ịkekọrịta data na-aghọ ihe a na-eme mgbe niile na nyocha data na nnukwu data na-abụ echiche a na-ahụkarị na akụkọ, azụmaahịa, gọọmentị na ọha mmadụ, ọ na-aghọtawanye ihe dị mkpa maka ụmụ akwụkwọ, ụmụ amaala, na ndị na-agụ akwụkwọ inwe ụfọdụ data. [2][3][4]Echiche a na-ejikọta ya na sayensị data, nke na-emetụta nyocha data, na-emekarị site na ụzọ akpaghị aka, na nkọwa na itinye n'ọrụ nsonaazụ.[5]
A na-ekewa ịgụ na ide data site na ịgụ na ide ọnụ ọgụgụ ebe ọ na-agụnye ịghọta ihe data pụtara, gụnyere ikike ịgụ eserese na chaatị yana ime nkwubi okwu site na data. [6]N'aka nke ọzọ, ịgụ na ide na-ezo aka na "ikike ịgụ na ịkọwa ọnụ ọgụgụ nchịkọta na mgbasa ozi kwa ụbọchị" dịka eserese, tebụl, nkwupụta, nyocha, na ọmụmụ.[6]
Ọrụ nke ọbá akwụkwọ na ndị na-elekọta ọbá akwụkwọ[dezie | dezie ebe o si]
Dị ka ndị nduzi maka ịchọta na iji ozi, ndị na-ahụ maka ọbá akwụkwọ na-eduzi ọmụmụ ihe gbasara ịgụ na ide maka ụmụ akwụkwọ na ndị nchọpụta, yana ịrụ ọrụ n'ịzụlite nkà ịgụ na ide nke ha.[7]
A tụpụtara usoro ikike na ọdịnaya ndị nwere ike iji mee ihe dị ka usoro ntụziaka na-agbanwe agbanwe na mmemme ntụziaka ọbá akwụkwọ gafee ụlọ ọrụ na ọzụzụ.[8]
Ihe onwunwe nke ndị na-ahụ maka ọbá akwụkwọ mepụtara gụnyere ntuziaka MIT's Data Management and Publishing, EDINA Research Data Management Training (MANTRA), Mahadum nke Edinburgh's Data Library na Mahadum Minnesota's Library' Data Management Course for Structural Engineers.
Hụkwa[dezie | dezie ebe o si]
- Ịgụ na Ịgụ Ihe
- Ịgụ na ide ihe ọmụma
- Ịgụ na ide nke mgbasa ozi
- Ọnụ ọgụgụ
- Ịgụ na ide
- Ịgụ na Ịgụ na Ụzọ
Ihe odide[dezie | dezie ebe o si]
- ↑ Baykoucheva (2015). Managing Scientific Information and Research Data. Waltham, MA: Chandos Publishing, 80. ISBN 9780081001950.
- ↑ (2009) in Hey, A. J.: The fourth paradigm: data-intensive scientific discovery.. Microsoft.
- ↑ Open Data Philly. Retrieved on 14 June 2013.
- ↑ Na, L. (2013). "Promote Data-intensive Scientific Discovery, Enhance Scientific and Technological Innovation Capability: New Model, New Method, and New Challenges Comments on" The Fourth Paradigm: Data-intensive Scientific Discovery". Bulletin of Chinese Academy of Sciences 1 (16).
- ↑ Stanley (2018-07-11). Practical Steps to Digital Research: Strategies and Skills For School Libraries. Santa Barbara, CA: ABC-CLIO, 275. ISBN 9781440856723.
- ↑ 6.0 6.1 Carlson (2015). Data Information Literacy: Librarians, Data, and the Education of a New Generation of Researchers. West Lafayette, Indiana: Purdue University Press, 15. ISBN 9781557536969.
- ↑ Koltay, Tibor (2015). "Data literacy for researchers and data librarians". Journal of Librarianship and Information Science 49 (1): 3–14. DOI:10.1177/0961000615616450.
- ↑ Calzada-Prado (2013). "Incorporating Data Literacy into Information Literacy Programs: Core Competencies and Contents". Libri 63 (2): 123–134. DOI:10.1515/libri-2013-0010.