社會(huì)科學(xué)研究的大數(shù)據(jù)方法
發(fā)布時(shí)間:2019-08-04 12:55
【摘要】:大數(shù)據(jù)方法是實(shí)證主義方法在大數(shù)據(jù)時(shí)代的新發(fā)展,它必將成為社會(huì)科學(xué)研究的新工具。但是,人們對(duì)大數(shù)據(jù)本體論和認(rèn)識(shí)論尚存爭議,數(shù)據(jù)的可獲得性和技術(shù)的易用性也阻礙了大數(shù)據(jù)方法的應(yīng)用。推動(dòng)大數(shù)據(jù)社會(huì)科學(xué)的發(fā)展,要加強(qiáng)對(duì)大數(shù)據(jù)基礎(chǔ)理論的研究,在更為廣泛的交流和對(duì)話中形成對(duì)大數(shù)據(jù)方法的共識(shí);要在保障數(shù)據(jù)安全的基礎(chǔ)上,推動(dòng)數(shù)據(jù)開放和數(shù)據(jù)共享;要開發(fā)出更具易用性的大數(shù)據(jù)平臺(tái)和技術(shù),并通過組建橫跨社會(huì)學(xué)科和數(shù)據(jù)學(xué)科的研究團(tuán)隊(duì)等,清除技術(shù)和專業(yè)壁壘。
[Abstract]:Big data's method is a new development of positivism in big data era, and it will become a new tool of social science research. However, there is still controversy about big data's ontology and epistemology, and the availability of data and the ease of use of technology also hinder the application of big data's method. To promote the development of big data's social sciences, it is necessary to strengthen the research on big data's basic theory and form a consensus on big data's method in more extensive exchanges and dialogues; to promote data openness and data sharing on the basis of ensuring data security; to develop a more easy-to-use 3500 platform and technology; and to remove technical and professional barriers by setting up research teams across social and data disciplines.
【作者單位】: 江西財(cái)經(jīng)大學(xué)馬克思主義學(xué)院;
【基金】:國家社會(huì)科學(xué)基金重點(diǎn)項(xiàng)目“大數(shù)據(jù)技術(shù)革命的哲學(xué)問題研究”(14AZX006)
【分類號(hào)】:C1
,
本文編號(hào):2522950
[Abstract]:Big data's method is a new development of positivism in big data era, and it will become a new tool of social science research. However, there is still controversy about big data's ontology and epistemology, and the availability of data and the ease of use of technology also hinder the application of big data's method. To promote the development of big data's social sciences, it is necessary to strengthen the research on big data's basic theory and form a consensus on big data's method in more extensive exchanges and dialogues; to promote data openness and data sharing on the basis of ensuring data security; to develop a more easy-to-use 3500 platform and technology; and to remove technical and professional barriers by setting up research teams across social and data disciplines.
【作者單位】: 江西財(cái)經(jīng)大學(xué)馬克思主義學(xué)院;
【基金】:國家社會(huì)科學(xué)基金重點(diǎn)項(xiàng)目“大數(shù)據(jù)技術(shù)革命的哲學(xué)問題研究”(14AZX006)
【分類號(hào)】:C1
,
本文編號(hào):2522950
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