Data Citation: a Computational Challenge

Summary: Frames data citation as a formal computational problem that blends query-answering-using-views and provenance management. Proposes an approach leveraging these connections and highlights practical and theoretical open problems for database research. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 1735
Venue: PODS
Year: 2017
Pagerank: 4.1945683e-05
Overall Rank: 11,767 | 18.14%
DOI: 10.1145/3034786.3056123

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
9,921	ProvCite: Provenance-based Data Citation	2019	VLDB	4.2549509e-05

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
31	Provenance Semirings	2007	PODS	0.0007857786
11,760	A Model for Fine-Grained Data Citation	2017	CIDR	4.1945683e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
11,471	On Optimizing the Trade-off between Privacy and Utility in Data Provenance	2021	SIGMOD	4.1945683e-05
3,340	Toward Computational Fact-Checking	2014	VLDB	7.2030091e-05
652	On the Provenance of Non-Answers to Queries over Extracted Data	2008	VLDB	0.00018634477
2,173	Querying Data Provenance	2010	SIGMOD	9.3676609e-05
655	On Propagation of Deletions and Annotations Through Views	2002	PODS	0.00018608845
2,524	Provenance Management in Curated Databases	2006	SIGMOD	8.6017899e-05
9,921	ProvCite: Provenance-based Data Citation	2019	VLDB	4.2549509e-05
13,334	Automating Data Citation in CiteDB	2017	VLDB	-
11,760	A Model for Fine-Grained Data Citation	2017	CIDR	4.1945683e-05
11,723	Data Citation: Giving Credit Where Credit is Due	2018	SIGMOD	4.1945683e-05