Grant Application Process

DOI

rant Application Process Data set dataset contains: 1) The anonimised file of the process log: Grants Export ISA4all 2010-2015 anonimysed.csv 2) The Protocol of experiment. 4 files in folder Protocol. 3) Selections, 9 files made for metrics in folder Grant 2014. LICENCE AGREEMENT License CC BY-NC-SA 4.0: The dataset is freely available under the following terms and conditions: 1. All original logs and associated data provided may be used for non-commercial research purposes only. 2. The source of the datasets must be acknowledged in all publications in which it is used. This should be done by referencing all of the following: the dataset's DOI: and the corresponding publications:Roubtsova, E. E., & Wiersma, N. (2018, March). A Practical Extension of Frameworks for Auditing with Process Mining. In ENASE (pp. 406-415).Roubtsova, E., & Wiersma, N. (2018, March). Involvement of Business Roles in Auditing with Process Mining. In International Conference on Evaluation of Novel Approaches to Software Engineering (pp. 24-44). Springer, Cham.

Date Submitted: 2021-06-14

Identifier
DOI https://doi.org/10.17026/DANS-X5S-QVHP
Metadata Access https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/DANS-X5S-QVHP
Provenance
Creator E.E. Roubtsova ORCID logo
Publisher DANS Data Station Physical and Technical Sciences
Contributor E.E. Roubtsova
Publication Year 2021
Rights CC-BY-SA-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-sa/4.0
OpenAccess true
Contact E.E. Roubtsova (Open University of the Netherlands)
Representation
Resource Type Dataset
Format text/csv; application/vnd.oasis.opendocument.spreadsheet; application/pdf; application/zip
Size 10823; 28757; 487568; 21476; 150707; 14861239; 95878; 103985; 95503; 103649; 102979; 101824; 104293; 22555; 42187
Version 2.0
Discipline Other