本文選題：同行評(píng)議 + 專家推薦��； 參考：《情報(bào)學(xué)報(bào)》2017年04期

【摘要】：學(xué)術(shù)評(píng)審活動(dòng)中,專家的學(xué)術(shù)專長(zhǎng)和學(xué)術(shù)水準(zhǔn)對(duì)于項(xiàng)目評(píng)審的科學(xué)性十分關(guān)鍵,專家的社會(huì)關(guān)系對(duì)于科研項(xiàng)目評(píng)審的公平性有重要影響。論文基于Web of Science期刊論文、中國(guó)博碩士學(xué)位論文、簡(jiǎn)歷、網(wǎng)絡(luò)新聞等組成的多源數(shù)據(jù),首先定義了專長(zhǎng)吻合度(S)、學(xué)術(shù)影響力(I)與社會(huì)關(guān)聯(lián)值(C)三個(gè)變量;然后,基于這三個(gè)變量構(gòu)建了專家遴選、回避與推薦模型R。專家的研究專長(zhǎng)依賴于其研究成果的關(guān)鍵詞,專家的學(xué)術(shù)影響力依賴于專家的h指數(shù)與入選人才計(jì)劃(包括兩院院士、國(guó)家自然科學(xué)基金杰出青年基金、中組部千人計(jì)劃學(xué)者、教育部長(zhǎng)江學(xué)者等),專家的社會(huì)關(guān)聯(lián)值依賴于各種利害關(guān)系,具體包括:師承關(guān)系、同事關(guān)系與合作關(guān)系。論文以精準(zhǔn)醫(yī)療領(lǐng)域的100位知名專家為例構(gòu)建了專家?guī)?測(cè)試了模型的效果,研究發(fā)現(xiàn),該模型能有效運(yùn)行,并能基于專長(zhǎng)吻合度、學(xué)術(shù)影響力、社會(huì)關(guān)聯(lián)值三個(gè)變量推薦專家。最后,論文提出了模型的不足之處與優(yōu)化的可能。
[Abstract]:In the activities of academic review, the academic expertise and academic level of experts are very important to the scientific nature of the project review, and the social relationship of experts has an important impact on the fairness of the evaluation of scientific research projects. This paper is based on the multi-source data of Web of Science journal thesis, Chinese Ph. D. thesis, resume, network news, etc. Firstly, it defines three variables: the degree of specialty coincidence, academic influence (I) and social association value (C). Based on these three variables, a model of expert selection, avoidance and recommendation is constructed. Experts' research expertise depends on the key words of their research results, and experts' academic influence depends on experts'h index and selected talent programs (including academicians in both chambers, outstanding youth funds of the National Natural Science Foundation of China, and scholars with thousands of people in the Central Organization Department). The social relevance value of the experts depends on various interests, including: teacher-bearing relationship, co-worker relationship and cooperative relationship. This paper takes 100 well-known experts in the field of precision medicine as an example to construct the expert bank, and tests the effect of the model. The research finds that the model can work effectively, and can be based on the degree of expertise and academic influence. Social correlation value three variables recommend experts. Finally, the paper puts forward the deficiency of the model and the possibility of optimization.
【作者單位】： 浙江大學(xué)公共管理學(xué)院信息資源管理系;
【基金】：中國(guó)科技信息研究所情報(bào)工程實(shí)驗(yàn)室開(kāi)放基金“基于多源數(shù)據(jù)的專家遴選、回避與推薦技術(shù)研究”
【分類號(hào)】：G353.1
，

本文編號(hào)：2014166