제1장 서론 ················································································································· 1
1. 연구의 배경 및 목적 ························································································ 1
1) 연구배경 ······································································································ 1
2) 연구목적 ······································································································ 2
2. 연구의 범위 및 방법 ························································································ 4
1) 연구범위 ······································································································ 4
2) 연구방법 ······································································································ 4
3. 주요 연구내용 ··································································································· 4
4. 기대효과 ··········································································································· 6
제2장 국내외 데이터 활용 지원정책 ·········································································· 7
1. 데이터 산업의 범위 및 현황 ············································································ 7
1) 데이터 산업의 범위 ···················································································· 7
2) 글로벌 데이터 산업 동향 ············································································ 8
3) 국내 데이터 산업 현황 및 한계 ······························································· 11
2. 국내 데이터 수집 및 활용 정책 ····································································· 14
1) 공공 및 민간 마이데이터 사업 ································································· 14
2) 데이터 댐 사업 ························································································· 21
3) 국내 데이터 활용 지원정책 ······································································ 28
3. 해외 데이터 수집 및 활용 정책 ····································································· 30
1) 영국 ·········································································································· 30
2) 미국 ·········································································································· 31
3) EU ············································································································ 33
4) 호주 ·········································································································· 34
4. 시사점 ············································································································ 35
제3장 부산지역 데이터 산업 여건조사 ···································································· 39
1. 부산지역 활용 가능 데이터 자산 실태조사 ···················································· 39
1) 조사 개요 ·································································································· 39
2) 기관 일반현황 ··························································································· 40
3) 데이터 생성 및 통합관리 실태 ································································· 41
4) 부산광역시 데이터 산업 특화 육성 방안 ·················································· 48
2. 데이터 산업 활성화를 위한 신규 구축 데이터 수요조사 ······························· 50
1) 조사 개요 ·································································································· 50
2) 부산광역시 공공데이터 이용 만족도 및 수요조사 ···································· 51
3) 부산광역시 데이터 산업 특화 육성 방안 ·················································· 55
3. 시사점 ············································································································ 60
제4장 부산지역 데이터 산업 육성 전략 ··································································· 66
1. 부산지역 데이터 산업 SWOT 분석 ······························································· 66
1) 강점(Strength) ························································································· 66
2) 약점(Weakness) ······················································································ 66
3) 기회(Opportunity) ···················································································· 67
4) 위협(Threat) ····························································································· 67
2. 부산지역 데이터 산업 육성 비전 및 전략 ····················································· 69
1) 육성 방향 및 비전 ···················································································· 69
2) 전략 및 과제 ···························································································· 69
3. 부산지역 데이터 산업 육성 추진과제 ····························································· 70
1) 부산형 데이터 댐 구축 추진과제 ······························································ 70
2) 부산지역 데이터 산업 생태계 육성 추진과제 ··········································· 74
제5장 결론 및 정책제언 ·························································································· 87
1. 결론 ················································································································ 87
2. 정책제언 ········································································································· 88
1) ‘데이터 기본법’ 제정 대비 ······································································· 88
2) ‘본인신용정보관리업(마이데이터)’ 활성화 ·················································· 89
3) 민간주도 ‘디지털자산거래소’ 설립 ···························································· 89
4) ‘국가정보자원관리원(공공클라우드센터)’ 부산센터 유치․설립 ···················· 90
5) ‘해양 위성데이터’ 활용 비즈니스 특화 ····················································· 90
Abstract ·················································································································· 92
참고문헌 ··················································································································· 93
부록 ·························································································································· 95
1. 설문지 ············································································································ 95
2. 설문조사 대상 기관·기업 일반현황 ······························································ 112
<표 2-1> 데이터 산업 정의 및 매출 발생 구조 ······························································ 8
<표 2-2> 데이터 산업 시장 규모(2016~2020년) ························································· 12
<표 2-3> 데이터 산업 시장 전망(2020~2026년) ························································· 13
<표 2-4> 정부의 마이데이터 추진 동향(’21.3. 기준) ··················································· 15
<표 2-5> 2018년 마이데이터(MyData) 시범사업 ························································· 16
<표 2-6> 2019년 마이데이터(MyData) 실증서비스 선정 과제 ···································· 16
<표 2-7> 2020년 마이데이터(MyData) 실증서비스 선정 과제 ···································· 17
<표 2-8> 2021년 마이데이터(MyData) 실증서비스 선정 과제 ···································· 18
<표 2-9> 정부의 마이데이터 사업 개요 ········································································ 20
<표 2-10> 마이데이터 본허가 받은 국내 기업 ····························································· 21
<표 2-11> 데이터 댐 7대 핵심사업(’20년 기준) ·························································· 22
<표 2-12> 2021년 주요 데이터 활용 지원사업 내용 ··················································· 23
<표 2-13> 2020년 AI 학습용 데이터 구축 과제 선정결과 ·········································· 26
<표 2-14> 2021년 추경 인공지능 학습용 데이터 지정과제(25종) 목록 ······················ 27
<표 2-15> 영국 마이데이터(Midata) 관련 제도 ··························································· 30
<표 2-16> 미국 스마트 공시 관련 제도 ······································································· 32
<표 2-17> 나라별 마이데이터 정책 비교 ······································································ 38
<표 3-1> 공공기관 조사 ································································································ 39
<표 3-2> 조사대상 공공기관 ························································································· 40
<표 3-3> 데이터 저장·관리 시스템 구축현황 ································································ 44
<표 3-4> 데이터 저장·관리 시스템 운영현황 ································································ 44
<표 3-5> 기업체 조사 ··································································································· 50
<표 3-6> 부산시 공공데이터 활용 목적 ········································································ 53
<표 4-1> 부산지역 데이터 산업 육성 관련 SWOT 분석 ············································· 68
<표 4-2> 초고령사회 노인 맞춤형 빅데이터 기술개발 ·················································· 76
<표 4-3> 의료 마이데이터 연계 스마트 헬스케어 기술개발 ········································· 77
<표 4-4> 부산시 스마트 서비스업 빅데이터 기술개발 ·················································· 78
<표 4-5> 데이터 기반 스마트 방재서비스 시범사업 ····················································· 83
<표 4-6> 데이터 기반 스마트 방범서비스 시범사업 ····················································· 84
<표 4-7> 데이터 기반 스마트 교통사고 예방서비스 시범사업 ······································ 85
<표 5-1> 국내 위성센터 비교 ······················································································· 91
<그림 1-1> 한국판 뉴딜 10대 대표 과제 ······································································· 3
<그림 1-2> 연구구성도 ···································································································· 5
<그림 2-1> 세계 데이터 규모 ·························································································· 9
<그림 2-2> 주요국 데이터 시장 규모(백만 유로) 및 ’19년 증가율 ······························ 10
<그림 2-3> 주요국 데이터 공급기업 수 및 ’19년 증가율 ············································ 10
<그림 2-4> 주요국 데이터 전문가 수(천명) 및 ’19년 증가율 ······································ 11
<그림 2-5> 데이터 산업 시장 규모(2016~2020년) ······················································ 12
<그림 2-6> 데이터 산업 시장 전망(2020~2026년) ······················································ 13
<그림 2-7> 데이터 댐 7개 사업의 연계 구성도 ··························································· 22
<그림 2-8> 통합데이터지도 네트워크 구성도 ································································ 24
<그림 2-9> AI 학습용 데이터 구축·개방 현황(2017~2019) ········································ 25
<그림 2-10> NIA 인공지능 학습용 데이터셋 구축사업 수행단계 ································· 25
<그림 2-11> 공공데이터포털 주요서비스 ······································································ 29
<그림 2-12> 공공데이터활용지원센터 ············································································ 29
<그림 2-13> 국내 데이터 산업의 한계 및 대응방향 ····················································· 36
<그림 3-1> 설립년도 ····································································································· 40
<그림 3-2> 업무상 활용 가능한 데이터 발생 여부 ······················································· 41
<그림 3-3> 기관 보유 데이터 ······················································································· 41
<그림 3-4> 활용 가능한 데이터 ···················································································· 42
<그림 3-5> 현재 공개 중인 데이터 ··············································································· 42
<그림 3-6> 발생하는 데이터 분야 ················································································· 43
<그림 3-7> 내부에서 생성되는 데이터 수집·관리 방식 ················································ 43
<그림 3-8> 전담인력 수(명) ·························································································· 45
<그림 3-9> 시스템 미보유 기관 향후 구축 계획 ·························································· 45
<그림 3-10> 데이터의 외부 활용을 위한 공개 계획 ····················································· 46
<그림 3-11> 선호하는 데이터 공개 방법 ······································································ 46
<그림 3-12> 데이터 공개 계획이 없는 이유 ································································· 47
<그림 3-13> 데이터 판매 계획이 없는 이유 ································································· 47
<그림 3-14> 디지털 뉴딜 중 데이터 댐 사업 인지도 ··················································· 48
<그림 3-15> 정부의 데이터 댐 사업의 가장 큰 효과 ··················································· 48
<그림 3-16> 부산형 데이터 댐 구축사업 추진 시 적절한 분야 ··································· 49
<그림 3-17> 부산 전략산업별 데이터 가치 및 활용도 5점 평균 비교 ························· 49
<그림 3-18> 비즈니스 유형 ··························································································· 50
<그림 3-19> 부산시 공공데이터포털(data.busan.go.kr) 인지도 ·································· 51
<그림 3-20> 부산시 공공데이터를 주로 제공받는 곳 ··················································· 51
<그림 3-21> 부산시 공공데이터를 주로 활용하는 분야 ················································ 52
<그림 3-22> 부산시 공공데이터를 활용한 경험이 있는 분야 ······································· 52
<그림 3-23> 부산시 공공데이터 활용 만족도 ······························································· 53
<그림 3-24> 부산시의 공공데이터 이용 활성화를 위해 개선해야 할 점 ······················ 54
<그림 3-25> 개방한 공공데이터 중 사업화 측면에서 향후 활용도가 높은 데이터 ······· 54
<그림 3-26> 공공연구기관별 데이터 가치 및 활용도 5점 평균 비교 ··························· 55
<그림 3-27> 데이터 개방 및 구매 희망 공공연구기관 ················································· 55
<그림 3-28> 정부기관별 데이터 가치 및 활용도 5점 평균 비교 ································· 56
<그림 3-29> 데이터 개방 및 구매 희망 정부기관 ························································ 57
<그림 3-30> 출자출연기관별 데이터 가치 및 활용도 5점 평균 비교 ··························· 58
<그림 3-31> 데이터 개방 및 구매 희망 출자출연기관 ················································· 59
<그림 3-32> 공공기관의 데이터 산업 육성의견 ···························································· 61
<그림 3-33> 민간기업의 데이터 산업 육성의견 ···························································· 62
<그림 3-34> 부산의 데이터 산업 여건에 대한 공공기관과 민간기업 평가 ··················· 63
<그림 3-35> 개방·공유를 원하는 공공데이터 키워드 ··················································· 65
<그림 3-36> 개방·공유를 원하는 민간데이터 키워드 ··················································· 65
<그림 4-1> 부산지역 데이터 산업 육성 비전 및 전략 ················································ 69
