Since the 1990s，my country's academic evaluation is introduced after the literature is measured, while promoting academic development, it also brings many problems，Journal comments、Excessive quantification、Index single、Evaluation one -sided、Low credibility is Shen。With the development of technology，my country gradually enters the era of big data、Artificial Intelligence Age，The leap of information technology provides an opportunity for the transformation of academic evaluation。The Opinions on Further improving the Opinions on Further improving the Evaluation of Philosophy and Social Sciences of Philosophy in Higher Education in 2011 mentioned "strengthening the construction of databases such as peer experts and evaluation results，Improve the information level of evaluation work "，2018 General Office of the Central Committee of the Communist Party of China、The "Guiding Opinions on the Reform of Classification and Promoting Talent Evaluation Mechanism Reform" issued by the General Office bet365 Play online games of the State Council proposes "Strengthening Evaluation Expert Database Construction and Resource Sharing"，Requirements on the data of academic evaluation。

Data integrated evaluation resources。Dataization is not just digital。Dataization is to collect the entire process of academic production and evaluation activities from the perspective of data、Delivery、mining、Treatment、Summary of system processes such as storage and applications。Academic evaluation data can integrate multi -dimensional、Multi -layered、Systematic evaluation resources。First，Academic evaluation data can be evaluated based on more types of academic achievements，Not only does it contain academic papers、Works、Research Report and other traditional results，It also involves lecture PPT、Chart、Program、Video、Blog、Public account tweet, etc.。Next，Evaluation data in the era of big data is no longer limited to literature measurement data、Some peer review data and a small amount of alternative measurement data，Data -based accurate identification and processing conversion，Fragmented data、Non -structural data、Do not use data such as behavioral data and other traditional data can be transformed into available bet365 live casino games indicators。Last，Data storage and association methods can establish an integrated database，Whether it is evaluating the subject (evaluation expert、Evaluation Agency、Scientific Research Management Department, etc.)、Evaluation object (academic achievement、Project、Scholar、Journal、institution, etc.)、Evaluation Process (Literature Measurement Indicator、Perspective review data、Evaluation method、Evaluation cycle, etc.)、Evaluation results (quality evaluation、Award and evaluation、Title evaluation, etc.)，Even evaluating policy、Evaluation research and other content can be included，This is convenient to call different resources、Modular processing，It can also avoid multiple evaluations、Repeated evaluation resources waste。

Data regression evaluation essence。The essence of academic evaluation is evaluation of academic quality level。The current peer review is limited by time、Human cost，Can only achieve a small amount of elite evaluation，Documentation evaluation limited by technical means is only evaluated from the perspective of influence，One of the reasons for academic evaluation for a long time is that the degree of data is bet365 best casino games low。Data collection、mining、Storage can realize academic evaluation full samples、Diversified、Dynamic、Systematic，Make academic evaluation based on comprehensive data, evaluate and identify the academic quality of the evaluation objects，Follow the academic law，Promoting academic development，At the same time to ensure fairness of the evaluation process、Open、Transparent。Dedicated by the data of academic evaluation，Evaluation purpose can also be liberated from administrative orientation，Not only can you serve the evaluation of professional title、Award and evaluation、Project acceptance、Selection of core journals、University ranking、Disciplinary evaluation and other existing evaluation activities，You can also provide social evaluation、Institutional independent evaluation、Scholar career evaluation、Interdisciplinary evaluation、Personalized evaluation and other services，Makes academic evaluation return to the essence and original intention。

Open the new situation with dataization。Academic evaluation long -term evaluation based on sample data、One -sided evaluation、side evaluation and lag evaluation，The current bet365 Play online games evaluation method and evaluation results can no longer meet the higher needs of academic circles，The academic and society calls for the establishment of a more complete scientific academic evaluation system。Dataization accompanies the whole process of academic production and evaluation，Can be timely、effective record、Processing and filter evaluation related data，Can simplify the cost and process of current academic evaluation，Make the evaluation results more time -effective、Dynamic and flexibility。The continuous development of artificial intelligence technology will also have a huge role in the reform of academic evaluation，For example, collect data、Smart filter noise、Provide personalized services、Expansion demand range。Intelligent data technology has an automatic learning function，Can be continuously corrected and improved academic evaluation models through data，Select the targeted scheme for the evaluation content，Provide predictions and guidance for scientific research and academic development，The academic evaluation will usher in a disruptive change at that time，Open the new situation。

Dataization provides a solution for the breakthrough of academic evaluation，Bet365 app download But there are still many problems in the data of academic evaluation。For example，The data awareness of the current academic and evaluation agencies is more limited、The dataization concept of scientific research management departments and evaluation staff needs to be changed urgently、Government departments and related learners need to strengthen the top -level design、Evaluation activities Related parties must coordinate cooperation、The integration of academic evaluation areas and big data technology should be strengthened，Realizing the data of academic evaluation from the theoretical and technical level to practical application，These also require all parties to work together and promote。

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(Author Unit: Evaluation Research Center for Humanities and Social Sciences Academic Achievements of Renmin University of China)