Investigations into Data Ecosystems: a systematic mapping study-Reference-Cited by-同舟云学术

Investigations into Data Ecosystems: a systematic mapping study

Published:2019-01-01 Issue:2 Volume:61 Page:589-630
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

S. Oliveira Marcelo Iury^ORCID,Barros Lima Glória de Fátima,Farias Lóscio Bernadette

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nìvel Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco

Instituto Nacional de Ciência e Tecnologia para Engenharia de Software

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10115-018-1323-6.pdf

Reference89 articles.

1. Abbott D (2013) What is digital curation. http://www.dcc.ac.uk/resources/briefing-papers/introduction-curation/what-digital-curation/ . Accessed 20 Jan (2018)

2. Abu-Matar M (2016) Towards a software defined reference architecture for smart city ecosystems. In: 2016 IEEE international smart cities conference (ISC2). IEEE, pp 1–6

3. Alves C, Oliveira J, Jansen S (2017) Software ecosystems governance—a systematic literature review and research agenda. In: ICEIS 2017-proceedings of the 19th international conference on enterprise information systems, vol 3. pp 26–29

4. Arksey H, O’Malley L (2005) Scoping studies: towards a methodological framework. Int J Soc Res Methodol 8:19–32

5. Atkinson C, Kuhne T (2003) Model-driven development: a metamodeling foundation. IEEE Softw 20(5):36–41

Cited by 77 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data ecosystem business models: Value propositions and value capture with Artificial Intelligence of Things;International Journal of Information Management;2024-10

2. A design theory for data quality tools in data ecosystems: Findings from three industry cases;Data & Knowledge Engineering;2024-09

3. A CONCEPTUAL FRAMEWORK FOR THE GOVERNMENT BIG DATA ECOSYSTEM (‘datagov.eco’);Data & Knowledge Engineering;2024-09

4. Data Mesh: A Systematic Gray Literature Review;ACM Computing Surveys;2024-08-07

5. Industrial data ecosystems and data spaces;Electronic Markets;2024-08-06