Reference health

<tt>dispel4py</tt> : A Python framework for data-intensive scientific computing

https://doi.org/10.1177/1094342016649766
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1 of 44 checkable references need attention · checked 2026-07-14

At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a publisher retraction notice. Each one is shown with the registry record that put it there.

16 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

References needing attention

does not resolve to a known work10.1016/j.future.2008.06.010.
The 43 checked references that resolve
resolves10.1145/1833398.1833406
A general approach to data-intensive computing using the Meandre component-based framework
resolves10.1007/s00530-007-0082-0
Streamline: scheduling streaming applications in a wide area environment
resolves10.1007/s00453-010-9453-6
Mapping Filtering Streaming Applications
resolves10.1109/BDCloud.2014.63
Data-Intensive Workflow Optimization Based on Application Task Graph Partitioning in Heterogeneous Computing Systems
resolves10.1002/pmic.201400391
Workflows for automated downstream data analysis and visualization in large‐scale computational mass spectrometry
resolves10.1002/9781118540343.ch4
Data‐Intensive Thinking with DISPEL
resolves10.1002/9781118540343.ch1
The Digital‐Data Challenge
resolves10.1002/9781118540343
The DATA Bonanza
resolves10.1109/eScience.2015.38
VERCE Delivers a Productive E-science Environment for Seismology Research
resolves10.1007/s10619-012-7105-3
Data-intensive architecture for scientific knowledge discovery
resolves10.1109/TSC.2009.8
Choreographing Web Services
resolves10.1016/j.ecoinf.2009.08.008
Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis
resolves10.1186/1471-2105-14-257
KNIME-CDK: Workflow-driven cheminformatics
resolves10.1016/j.websem.2015.01.003
Using a suite of ontologies for preserving workflow-centric research objects
resolves10.1111/j.1365-246X.2007.03374.x
Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements
resolves10.1007/978-1-84628-757-2_3
Generating Complex Astronomy Workflows
resolves10.1117/12.856486
The application of cloud computing to the creation of image mosaics and management of their provenance
resolves10.1145/1656274.1656280
KNIME - the Konstanz information miner
resolves10.1785/gssrl.81.3.530
ObsPy: A Python Toolbox for Seismology
resolves10.1007/978-3-642-38750-0_5
Towards Addressing CPU-Intensive Seismological Applications in Europe
resolves10.1002/cpe.992
Programming scientific and distributed workflow with Triana services
resolves10.1109/MS.2009.22
Software Design for Empowering Scientists
resolves10.1016/j.future.2014.10.008
Pegasus, a workflow management system for science automation
resolves10.7551/mitpress/9780262014397.001.0001
World Wide Research
resolves10.3133/ofr20091131
Prompt Assessment of Global Earthquakes for Response (PAGER): A System for Rapidly Determining the Impact of Earthquakes Worldwide
resolves10.1145/2600212.2600711
Bobolang
resolves10.1007/978-1-84628-757-2_9
Dynamic, Adaptive Workflows for Mesoscale Meteorology
resolves10.1109/eScience.2014.33
Workflow Reuse in Practice: A Study of Neuroimaging Pipeline Users
resolves10.1109/WORKS.2014.6
Workflows in a Dashboard: A New Generation of Usability
resolves10.1016/j.jpdc.2013.04.006
Enhancing throughput for streaming applications running on cluster systems
resolves10.1002/9781118540343.ch22
Estimating Species Distributions—Across Space, Through Time, and with Features of the Environment
resolves10.1007/978-1-84628-757-2_10
SCEC CyberShake Workflows—Automating Probabilistic Seismic Hazard Analysis Calculations
resolves10.1016/j.asej.2014.04.011
Sentiment analysis algorithms and applications: A survey
resolves10.1016/j.cageo.2014.12.006
The data quality analyzer: A quality control program for seismic data
resolves10.1007/s10723-013-9267-2
Bundle and Pool Architecture for Multi-Language, Robust, Scalable Workflow Executions
resolves10.1016/j.ascom.2014.09.002
AstroTaverna—Building workflows with Virtual Observatory services
resolves10.1109/ADVCOMP.2009.14
Building the Trident Scientific Workflow Workbench for Data Management in the Cloud
resolves10.1145/2457317.2457369
Provenance for seismological processing pipelines in a distributed streaming workflow
resolves10.1109/MCSE.2013.19
SciDB: A Database Management System for Applications with Complex Analytics
resolves10.1016/j.parco.2011.05.005
Swift: A language for distributed parallel scripting
resolves10.1093/nar/gkt328
The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud
resolves10.3233/FI-2013-949
Turbine: A Distributed-memory Dataflow Engine for High Performance Many-task Applications
The 16 references without a DOI — listed, not checked
no DOI — not checkedProceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10)
no DOI — not checkedGalaxy: A Web-Based Genome Analysis Tool for Experimentalists
no DOI — not checkedBode MF, Cruz MJ, Molster FJ (2008) The ASTRONET infrastructure roadmap. ASTRONET (online). Available at: http://books.google.co.uk/books?id=Y5tQPgAACAAJ
no DOI — not checkedbibr23-1094342016649766
no DOI — not checkedCho H, Lee J, Kim S (2013) Enhancing lexicon-based review classification by merging and revising sentiment dictionaries. In: Sixth International Joint Conference on Natural Language Processing (IJCNLP 2013), Nagoya, Japan, 14–18 October 2013, pp. 463–470. Asian Federation of Natural Language Processing/ACL (online). Available at: http://aclweb.org/anthology/I/I13/I13-1053.pdf
no DOI — not checkedbibr33-1094342016649766
no DOI — not checkedbibr34-1094342016649766
no DOI — not checkedThe Fourth Paradigm: Data-Intensive Scientific Discovery
no DOI — not checkedbibr43-1094342016649766
no DOI — not checkedAFINN
no DOI — not checkedProceedings of the International Conference on Language Resources and Evaluation (LREC 2010)
no DOI — not checkedRosner M, Tapias D (eds) (2010) European Language Resources Association (online). Available at: http://www.lrec-conf.org/proceedings/lrec2010/summaries/385.html
no DOI — not checkedADASS Conference
no DOI — not checkedBeautiful Data: The Stories behind Elegant Data Solutions
no DOI — not checkedScientific Data Management: Challenges, Technology and Deployment
no DOI — not checkedbibr56-1094342016649766
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a publisher retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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