大数据时代的科学研究方法的中期报告【Abstract】Withtherapiddevelopmentofbigdatatechnology,thetraditionalscientificresearchmethodsarefacingnewchallenges,andthebigdataerarequirestheinnovationandreformofscientificresearchmethods.Thisreportfocusesonthecurrentsituationandproblemsofscientificresearchmethodsinthebigdataera,andexploresthenewdemandsandtrendsofscientificresearchmethodsinthiscontext.Basedonthis,weputforwardsomespecificsuggestionsforthefuturedevelopmentofscientificresearchmethods.【Keywords】bigdata;scientificresearchmethods;innovation;reform一、IntroductionWiththeaccelerationofglobalinformationizationandthedeepeningoftheapplicationofbigdatatechnology,bigdatahasbecomeoneofthemostimportantstrategicresourcesforsocialdevelopment.Thebigdataerahasbroughtprofoundchangestovariousfields,includingscientificresearchmethods.Thetraditionalscientificresearchmethodscannolongermeettheneedsofthebigdataera,andtheinnovationandreformofscientificresearchmethodshavebecomeanurgenttask.Thisreportaimstoanalyzethecurrentsituationandproblemsofscientificresearchmethodsinthebigdataera,explorethenewdemandsandtrendsofscientificresearchmethods,andputforwardsuggestionsforfuturedevelopment.二、Currentsituationandproblems1.Thelackofreal-worlddata:Somescientificresearchmethodsrelyheavilyonsimulatedorartificialdata,whichleadstoalackofaccuracyandrelevanceinresearchresults.Inthebigdataera,real-worlddatashouldbegivenmoreimportance,andscientificresearchshouldbemorecloselylinkedtoreal-worldscenarios.2.Limiteddataprocessingcapabilities:Withtheincreasingamountofdata,traditionalscientificresearchmethodsfacechallengesindatacollection,storage,andprocessing.Inthecurrentsituation,thedevelopmentofdataprocessingtechnologyisrelativelyslow,whichlimitsthescopeandaccuracyofscientificresearchresults.3.Insufficientcooperationandinterdisciplinaryresearch:Inthepast,scientificresearchwasmostlyconductedbysmallgroupsorindividuals.Inthebigdataera,interdisciplinarycollaborationandpartnershiparevitaltothedevelopmentofscientificresearchmetho