數(shù)據(jù)治理概論 教學(xué)大綱

教學(xué)大綱課程名稱數(shù)據(jù)治理概論所屬課程組課程代碼英文類別代號(hào)CSCI授課對(duì)象數(shù)據(jù)科學(xué)與大數(shù)據(jù)技術(shù)、數(shù)字經(jīng)濟(jì)課程類型專業(yè)必修課課程課型理論課總學(xué)分總學(xué)時(shí)理論教學(xué)學(xué)時(shí)實(shí)驗(yàn)教學(xué)學(xué)時(shí)實(shí)踐教學(xué)學(xué)時(shí)2323200先修課程無一、課程簡(jiǎn)介本課程系統(tǒng)介紹了數(shù)據(jù)治理體系框架以及各個(gè)關(guān)鍵活動(dòng)，通過豐富的案例分析，幫助學(xué)生深入理解數(shù)據(jù)治理的實(shí)踐和運(yùn)用。概念篇介紹了數(shù)據(jù)治理的基本概念、原則和方法，以及數(shù)據(jù)治理框架相關(guān)內(nèi)容，幫助讀者建立起清晰的數(shù)據(jù)治理認(rèn)知。體系篇詳細(xì)闡述了數(shù)據(jù)治理體系框架，包括數(shù)據(jù)戰(zhàn)略規(guī)劃、數(shù)據(jù)采集、數(shù)據(jù)存儲(chǔ)、數(shù)據(jù)管理、數(shù)據(jù)應(yīng)用、數(shù)據(jù)治理價(jià)值評(píng)估等多個(gè)方面。保障篇介紹了數(shù)據(jù)治理組織、制度與規(guī)范，數(shù)據(jù)治理文化，以及數(shù)據(jù)治理工具等內(nèi)容。通過對(duì)這些關(guān)鍵活動(dòng)的深入了解，學(xué)生將能夠全面掌握數(shù)據(jù)治理的核心內(nèi)容。典型案例篇分享了國(guó)內(nèi)不同行業(yè)的優(yōu)秀實(shí)踐，涵蓋多個(gè)領(lǐng)域。這些案例將幫助學(xué)生更好地理解數(shù)據(jù)治理在實(shí)踐中的應(yīng)用，同時(shí)也可以為學(xué)生在具體工作中提供有益的參考和啟示。二、培養(yǎng)目標(biāo)本課程旨在實(shí)現(xiàn)以下幾個(gè)培養(yǎng)目標(biāo)：（1）建立全面的數(shù)據(jù)治理知識(shí)體系：本課程旨在使學(xué)生深入理解數(shù)據(jù)治理的基本概念、原則、方法及最新發(fā)展趨勢(shì)，掌握數(shù)據(jù)治理的完整框架體系。通過系統(tǒng)學(xué)習(xí)，學(xué)生能夠清晰地認(rèn)識(shí)到數(shù)據(jù)作為核心資產(chǎn)的重要性，以及數(shù)據(jù)治理在提升企業(yè)數(shù)據(jù)質(zhì)量、促進(jìn)數(shù)據(jù)價(jià)值最大化方面的關(guān)鍵作用。（2）培養(yǎng)數(shù)據(jù)治理實(shí)戰(zhàn)能力：通過詳細(xì)剖析數(shù)據(jù)采集、存儲(chǔ)、管理、應(yīng)用及價(jià)值評(píng)估等關(guān)鍵活動(dòng)，學(xué)生將學(xué)會(huì)如何在實(shí)際場(chǎng)景中運(yùn)用數(shù)據(jù)治理理論，解決數(shù)據(jù)管理中的實(shí)際問題。課程強(qiáng)調(diào)理論與實(shí)踐相結(jié)合，通過案例分析、小組討論等形式，增強(qiáng)學(xué)生的實(shí)戰(zhàn)操作能力和問題解決能力。（3）增強(qiáng)數(shù)據(jù)治理組織與文化認(rèn)知：在保障篇的學(xué)習(xí)中，學(xué)生將了解數(shù)據(jù)治理組織的構(gòu)建原則、制度設(shè)計(jì)、規(guī)范制定以及數(shù)據(jù)治理文化的培育方法。這將幫助學(xué)生認(rèn)識(shí)到，成功的數(shù)據(jù)治理不僅依賴于技術(shù)工具，更離不開有效的組織架構(gòu)、完善的制度保障和積極向上的數(shù)據(jù)文化。通過本課程，學(xué)生將能夠參與到數(shù)據(jù)治理體系的規(guī)劃與實(shí)施中，為構(gòu)建健康的數(shù)據(jù)生態(tài)環(huán)境貢獻(xiàn)力量。（4）提升跨領(lǐng)域數(shù)據(jù)治理應(yīng)用視野：典型案例篇通過分享國(guó)內(nèi)不同行業(yè)的數(shù)據(jù)治理優(yōu)秀實(shí)踐，旨在拓寬學(xué)生的視野，使學(xué)生了解數(shù)據(jù)治理在不同領(lǐng)域（如金融、醫(yī)療、零售、智能制造等）的具體應(yīng)用及其帶來的顯著成效。這不僅能夠加深學(xué)生對(duì)數(shù)據(jù)治理價(jià)值的認(rèn)識(shí)，還能激發(fā)他們的創(chuàng)新思維，鼓勵(lì)學(xué)生在未來的工作中結(jié)合行業(yè)特點(diǎn)，創(chuàng)新性地應(yīng)用數(shù)據(jù)治理理念和方法，推動(dòng)數(shù)據(jù)驅(qū)動(dòng)的業(yè)務(wù)轉(zhuǎn)型和產(chǎn)業(yè)升級(jí)。三、教學(xué)方法本課程以課程理論教學(xué)為主，并提供大量補(bǔ)充學(xué)習(xí)資料，以深化學(xué)生對(duì)知識(shí)的理解。在理論教學(xué)層面，高屋建瓴地探討數(shù)據(jù)治理，超脫技術(shù)講解技術(shù)，內(nèi)容深入淺出，簡(jiǎn)單易懂，適合各個(gè)年級(jí)學(xué)生學(xué)習(xí)；同時(shí)，在課堂上為學(xué)生展示豐富的實(shí)際應(yīng)用案例，激發(fā)學(xué)生學(xué)習(xí)興趣，開拓學(xué)生視野，培養(yǎng)學(xué)生數(shù)據(jù)治理意識(shí)和能力。

四、主要內(nèi)容及學(xué)時(shí)安排章（或節(jié)）主要內(nèi)容學(xué)時(shí)安排第1章數(shù)據(jù)治理概述數(shù)據(jù)治理的基本概念、數(shù)據(jù)治理的發(fā)展歷程及趨勢(shì)、數(shù)據(jù)治理在現(xiàn)代組織中的定位、數(shù)據(jù)治理的誤區(qū)、數(shù)據(jù)管理4第2章數(shù)據(jù)治理框架主流數(shù)據(jù)治理框架介紹、本書數(shù)據(jù)治理框架、數(shù)據(jù)治理框架的作用2第3章數(shù)據(jù)戰(zhàn)略規(guī)劃數(shù)據(jù)戰(zhàn)略規(guī)劃的概念、數(shù)據(jù)戰(zhàn)略從規(guī)劃到執(zhí)行、數(shù)據(jù)戰(zhàn)略規(guī)劃工具2第4章數(shù)據(jù)采集數(shù)據(jù)采集的概念、數(shù)據(jù)采集的范圍、數(shù)據(jù)采集的方法、數(shù)據(jù)采集關(guān)鍵技術(shù)2第5章數(shù)據(jù)存儲(chǔ)數(shù)據(jù)存儲(chǔ)的概念、數(shù)據(jù)存儲(chǔ)需求、數(shù)據(jù)存儲(chǔ)模型設(shè)計(jì)、數(shù)據(jù)存儲(chǔ)架構(gòu)設(shè)計(jì)4第6章數(shù)據(jù)管理元數(shù)據(jù)管理、數(shù)據(jù)標(biāo)準(zhǔn)管理、主數(shù)據(jù)管理、數(shù)據(jù)質(zhì)量管理、數(shù)據(jù)安全管理6第7章數(shù)據(jù)應(yīng)用數(shù)據(jù)分析、數(shù)據(jù)共享、數(shù)據(jù)開放、數(shù)據(jù)賦能業(yè)務(wù)的典型場(chǎng)景、數(shù)據(jù)分析關(guān)鍵技術(shù)4第8章數(shù)據(jù)治理價(jià)值評(píng)估數(shù)據(jù)治理價(jià)值評(píng)估的概念、數(shù)據(jù)治理價(jià)值評(píng)估的原則、業(yè)務(wù)價(jià)值評(píng)估、成本效益評(píng)估、風(fēng)險(xiǎn)管理評(píng)估、組織能力評(píng)估、持續(xù)改進(jìn)評(píng)估、價(jià)值評(píng)估工作的開展1第9章數(shù)據(jù)治理組織、制度與規(guī)范數(shù)據(jù)治理組織、數(shù)據(jù)治理制度與規(guī)范2第10章數(shù)據(jù)治理文化數(shù)據(jù)治理文化的概念、數(shù)據(jù)治理文化的建立、數(shù)據(jù)文化與數(shù)據(jù)治理框架1第11章數(shù)據(jù)治理工具數(shù)據(jù)采集工具、數(shù)據(jù)存儲(chǔ)工具、數(shù)據(jù)管理工具、數(shù)據(jù)應(yīng)用工具1第12章某能源企業(yè)數(shù)據(jù)治理項(xiàng)目背景、建設(shè)方案、建設(shè)效果1第13章某制造企業(yè)數(shù)據(jù)治理項(xiàng)目背景、企業(yè)數(shù)據(jù)治理痛點(diǎn)、業(yè)務(wù)數(shù)據(jù)現(xiàn)狀分析、數(shù)據(jù)治理建設(shè)目標(biāo)、數(shù)據(jù)生態(tài)解決方案、數(shù)據(jù)治理實(shí)施成果、業(yè)務(wù)應(yīng)用場(chǎng)景的實(shí)現(xiàn)成果、經(jīng)驗(yàn)總結(jié)1第14章某金融企業(yè)數(shù)據(jù)治理項(xiàng)目背景、企業(yè)面臨的挑戰(zhàn)、建設(shè)方案、實(shí)施成果1合計(jì)32五、考核方式與要求（1）平時(shí)成績(jī)：包括上課考勤和作業(yè)；（2）期末考試：采用筆試，閉卷；（3）最終成績(jī)：平時(shí)成績(jī)和期末考試成績(jī)按5:5比例加權(quán)求和。六、選用教材劉宏，林子雨，夏小云主編《數(shù)據(jù)治理概論》，機(jī)械工業(yè)出版社，2024年8月。ISBN:978-7-111-76115-0，定價(jià)：79元。七、參考書目與文獻(xiàn)無八、課程網(wǎng)站等支持條件課程主講教師建設(shè)了國(guó)內(nèi)高校首個(gè)大數(shù)據(jù)課程公共服務(wù)平臺(tái)，提供講義PPT、課程習(xí)題、學(xué)習(xí)指南、授課視頻、技術(shù)資料等全方位、一站式免費(fèi)服務(wù)，幫助學(xué)生更好學(xué)習(xí)大數(shù)據(jù)課程，網(wǎng)站地址：/post/data-governance/九、其它信息大綱制定者：林子雨大綱審定者：***大綱制定時(shí)間：2024年8月

XMUUndergraduateCourseSyllabusCoursenameIntroductiontoDataGovernanceCoursegroupCoursecodeCategorycodeCSCICoursecanbesharedwithDataScienceandBigDataTechnology、DigitalEconomyCoursetype□BasicCommonCourses□GeneralEducationCourses□DisciplinaryGeneralCourses■SpecializedCourses□OtherTeachingProcessesCoursefocus■Lecture□Experiment□Skill-training□PracticalCreditTotallearninghoursLectureExperimentPractical2323200PrerequisitesNone1.CoursedescriptionThiscoursesystematicallyintroducestheframeworkofdatagovernancesystemandvariouskeyactivities.Throughrichcaseanalysis,ithelpsstudentstodeeplyunderstandthepracticeandapplicationofdatagovernance.Theconceptsectionintroducesthebasicconcepts,principles,andmethodsofdatagovernance,aswellasrelatedcontentofthedatagovernanceframework,tohelpreadersestablishaclearunderstandingofdatagovernance.Thesystemsectionelaboratesontheframeworkofthedatagovernancesystem,includingmultipleaspectssuchasdatastrategicplanning,datacollection,datastorage,datamanagement,dataapplication,anddatagovernancevalueevaluation.TheSecuritysectionintroducesdatagovernanceorganizations,systemsandnorms,datagovernanceculture,anddatagovernancetools.Bygainingadeepunderstandingofthesekeyactivities,studentswillbeabletocomprehensivelygraspthecorecontentofdatagovernance.ThetypicalcasearticlesharesexcellentpracticesfromdifferentindustriesinChina,coveringmultiplefields.Thesecaseswillhelpstudentsbetterunderstandtheapplicationofdatagovernanceinpractice,andalsoprovideusefulreferencesandinspirationsforstudentsinspecificwork.2.LearninggoalsThiscourseaimstoachievethefollowingtrainingobjectives:(1)Establishingacomprehensiveknowledgesystemofdatagovernance:Thiscourseaimstodeepenstudents'understandingofthebasicconcepts,principles,methods,andlatestdevelopmenttrendsofdatagovernance,andtomasterthecompleteframeworksystemofdatagovernance.Throughsystematiclearning,studentscanclearlyrecognizetheimportanceofdataasacoreassetandthecrucialroleofdatagovernanceinimprovingthequalityofenterprisedataandmaximizingitsvalue.(2)Developingpracticalskillsindatagovernance:Throughdetailedanalysisofkeyactivitiessuchasdatacollection,storage,management,application,andvalueevaluation,studentswilllearnhowtoapplydatagovernancetheoryinpracticalscenariostosolvepracticalproblemsindatamanagement.Thecourseemphasizesthecombinationoftheoryandpractice,enhancingstudents'practicalskillsandproblem-solvingabilitiesthroughcaseanalysis,groupdiscussions,andotherforms.(3)Enhancingorganizationalandculturalawarenessofdatagovernance:Inthestudyofthesecuritychapter,studentswillunderstandtheprinciplesofbuildingdatagovernanceorganizations,institutionaldesign,standardformulation,andmethodsforcultivatingdatagovernanceculture.Thiswillhelpstudentsrealizethatsuccessfuldatagovernancenotonlyreliesontechnologicaltools,butalsooneffectiveorganizationalstructures,soundinstitutionalsafeguards,andapositivedataculture.Throughthiscourse,studentswillbeabletoparticipateintheplanningandimplementationofdatagovernancesystems,contributingtotheconstructionofahealthydataecosystem.(4)Enhancingtheapplicationperspectiveofcrossdisciplinarydatagovernance:Atypicalcasestudyaimstobroadenstudents'horizonsbysharingexcellentpracticesofdatagovernanceindifferentindustriesinChina,enablingthemtounderstandthespecificapplicationsofdatagovernanceindifferentfields(suchasfinance,healthcare,retail,intelligentmanufacturing,etc.)andthesignificantresultsitbrings.Thiscannotonlydeepenstudents'understandingofthevalueofdatagovernance,butalsostimulatetheirinnovativethinking,encouragestudentstocombineindustrycharacteristicsintheirfuturework,creativelyapplydatagovernanceconceptsandmethods,andpromotedata-drivenbusinesstransformationandindustrialupgrading.3.TeachingapproachesThiscoursefocusesontheoreticalteachingandprovidesalargeamountofsupplementarylearningmaterialstodeepenstudents'understandingofknowledge.Attheleveloftheoreticalteaching,itexploresdatagovernancefromabroadperspective,transcendingtechnicalexplanations,withcontentthatiseasytounderstandandsuitableforstudentsofallgradestolearn;Atthesametime,presentingrichpracticalapplicationcasestostudentsinclasscanstimulatetheirinterestinlearning,broadentheirhorizons,andcultivatetheirawarenessandabilityindatagovernance.

4.ContentoutlineofthecourseChapter(Section)ContentLearninghoursChapter1OverviewofDataGovernanceBasicconceptsofdatagovernance,developmenthistoryandtrendsofdatagovernance,positioningofdatagovernanceinmodernorganizations,misconceptionsofdatagovernance,anddatamanagement4Chapter2DataGovernanceFrameworkIntroductiontomainstreamdatagovernanceframeworks,datagovernanceframeworksinthisbook,andtheroleofdatagovernanceframeworks2Chapter3:DataStrategyPlanningTheconceptofdatastrategicplanning,datastrategyfromplanningtoexecution,anddatastrategicplanningtools2Chapter4DataCollectionTheconcept,scope,methods,andkeytechnologiesofdatacollection2Chapter5DataStorageTheconceptofdatastorage,datastoragerequirements,datastoragemodeldesign,anddatastoragearchitecturedesign4Chapter6DataManagementMetadatamanagement,datastandardmanagement,masterdatamanagement,dataqualitymanagement,datasecuritymanagement6Chapter7DataApplicationTypicalscenariosofdataanalysis,datasharing,dataopenness,dataempowermentbusiness,andkeytechnologiesofdataanalysis4Chapter8ValueAssessmentofDataGovernanceTheconceptofdatagovernancevalueassessment,principlesofdatagovernancevalueassessment,businessvalueassessment,cost-benefitassessment,riskmanagementassessment,organizationalcapabilityassessment,continuousimprovementassessment,andtheimplementationofvalueassessmentwork1Chapter9:DataGovernanceOrganizations,Systems,andNormsDatagovernanceorganization,datagovernancesystemandnorms2Chapter10:DataGovernanceCultureTheconceptofdatagovernanceculture,establishmentofdatagovernanceculture,datacultureanddatagovernanceframework1Chapter11DataGovernanceToolsDatacollectiontools,datastoragetools,datamanagementtools,dataapplicationtools1Chapter12DataGovernanceofaCertainEnergyEnterpriseProjectbackground,constructionplan,andconstructioneffect1Chapter13:DataGovernanceofaManufacturingEnterpriseProjectbackground,painpointsofenterprisedatagovernance,analysisofbusinessdatastatus,goalsofdatagovernanceconstruction,dataecosystemsolutions,implementationresultsofdatagovernance,achievementsofbusinessapplicationscenarios,experiencesummary1Chapter14DataGovernanceofaFinancialEnterpriseProjectbackground,challengesfacedbytheenterprise,constructionplan,implementationresults1Total325.AssessmentmethodsandrequirementsThecourseinvolveshomeworkandclosed-bookexamination.Thefinalscoreincludestwoparts,i.e.,homework(50%)andfinalexamination(50%).6.TextbooksLiuHong,LinZiyu,andXiaXiaoyunedited"IntroductiontoDataGovernance",publishedbyMachineryIndustryPressinAugust2024.ISBN:978-7-111-76115-0，Pricing:79yuan.7.ReferencesNone8.Website/post/data-governance/9.OthersFilledoutby:ZiyuLinApprovedby:***Date:Aug,2024

廈門大學(xué)本科課程大綱填寫說明(Notes)須同時(shí)填寫課程大綱中文版和英文版。課程名稱必須準(zhǔn)確、規(guī)范。課程代碼：非任課教師填寫。該課程在教務(wù)系統(tǒng)生成后，由學(xué)院代為填寫。授課對(duì)象填寫專業(yè)。適用年級(jí)填寫可修讀本課程的時(shí)間，如本科三年級(jí)第一學(xué)期。課程類型指公共基本課程、通識(shí)教育課程、學(xué)科通修課程、專業(yè)（或?qū)I(yè)方向）課程、其他教學(xué)環(huán)節(jié)。課程課型指理論課、實(shí)驗(yàn)課、技能課、實(shí)踐課?？倢W(xué)時(shí)=授課學(xué)時(shí)+討論學(xué)時(shí)+實(shí)驗(yàn)學(xué)時(shí)+上機(jī)學(xué)時(shí)+其他學(xué)時(shí)先修課程是與該課程具有嚴(yán)格的前后邏輯關(guān)系，非先修課程則無法學(xué)習(xí)該課程。10.培養(yǎng)目標(biāo)不少于150字。11.考核方式包括成績(jī)登記方式、成績(jī)組成、考核標(biāo)準(zhǔn)等。成績(jī)登記方式包括百分制、通過/不通過等。成績(jī)組成指各種考核方式占比?？己藰?biāo)準(zhǔn)指衡量各項(xiàng)考評(píng)指標(biāo)得分的基準(zhǔn)。12.選用教材和主要參考書要求注明作者、書目、出版社、出版年份。例如，“丹利維爾：《民主、官僚制組織和公共選擇》，中國(guó)青年出版社，2001年?！?3.其它信息指課堂規(guī)范要求等，如課上禁止使用手機(jī)、缺勤要求等。14.課程英文類別代號(hào):英文類別代號(hào)代號(hào)英文說明代號(hào)中文說明ANTH:Anthropology人類學(xué)類課程；ARCH:Architecture建筑類課程；ARTS:Arts藝術(shù)類；AUTO:Automation自動(dòng)化類課程；BIOL:Biology生物科學(xué)類課程；BUSI:BusinessAdministration工商管理類課程；CHEE:Ch