Quantitative Evaluation of Provincial Digital Archival Policy Text in China:Based on the PMC Index Model
[Purpose/significance]By establishing a sound digital archives policy evaluation system,it provides references for govern-ment departments to formulate scientific and reasonable digital archives policies,and promotes the development of digital archives.[Method/process]Using Python text mining technology,based on the PMC index model to build a digital archives policy text evalua-tion index system,the text content of 76 provincial digital archives policies in my country was quantitatively evaluated and analyzed.[Result/conclusion]The study found that most of the provincial digital archives policies in my country have certain scientific rational-ity,and more than 67％of the policies have reached the level of good or above.However,in the policies of different regions,there are problems such as lack of comprehensive consideration of timeliness,unbalanced application of policy tools,and single application of policy objects.To this end,policy suggestions are put forward to strengthen the formulation of long-term and short-term policy plan-ning,fully coordinate the balance of policy tools,and improve the multi-subject coordination mechanism.[Innovation/limitation]Us-ing Python text mining technology and PMC index model,combined with quantitative analysis methods,a comprehensive and in-depth evaluation and analysis of the provincial digital archives policy text is carried out.Future research will further expand data sources and research scope,and improve the scientificity and practicality of digital archives policy evaluation.
text miningPMC index modelprovincial digital archivesquantitative evaluationpolicy suggestions
NETL
NSTL
万方数据
