Towards Automatic Capturing of Manual Data Processing Provenance

Andreas Wombacher, M.R. Huq

Research output: Book/ReportReportProfessional

22 Downloads (Pure)

Abstract

Often data processing is not implemented by a work ow system or an integration application but is performed manually by humans along the lines of a more or less specified procedure. Collecting provenance information during manual data processing can not be automated. Further, manual collection of provenance information is error prone and time consuming. Therefore, we propose to infer provenance information based on the read and write access of users. The derived provenance information is complete, but has a low precision. Therefore, we propose further to introducing organizational guidelines in order to improve the precision of the inferred provenance information.
Original languageUndefined
Place of PublicationEnschede
PublisherCentre for Telematics and Information Technology (CTIT)
Number of pages16
Publication statusPublished - 2011

Publication series

NameCTIT Technical Report Series
PublisherCentre for Telematics and Information Technology, University of Twente
No.TR-CTIT-11-12
ISSN (Print)1381-3625

Keywords

  • METIS-277635
  • EWI-20164
  • IR-77220

Cite this

Wombacher, A., & Huq, M. R. (2011). Towards Automatic Capturing of Manual Data Processing Provenance. (CTIT Technical Report Series; No. TR-CTIT-11-12). Enschede: Centre for Telematics and Information Technology (CTIT).
Wombacher, Andreas ; Huq, M.R. / Towards Automatic Capturing of Manual Data Processing Provenance. Enschede : Centre for Telematics and Information Technology (CTIT), 2011. 16 p. (CTIT Technical Report Series; TR-CTIT-11-12).
@book{634c6a2ee52546b4a5c95eca60102f3a,
title = "Towards Automatic Capturing of Manual Data Processing Provenance",
abstract = "Often data processing is not implemented by a work ow system or an integration application but is performed manually by humans along the lines of a more or less specified procedure. Collecting provenance information during manual data processing can not be automated. Further, manual collection of provenance information is error prone and time consuming. Therefore, we propose to infer provenance information based on the read and write access of users. The derived provenance information is complete, but has a low precision. Therefore, we propose further to introducing organizational guidelines in order to improve the precision of the inferred provenance information.",
keywords = "METIS-277635, EWI-20164, IR-77220",
author = "Andreas Wombacher and M.R. Huq",
year = "2011",
language = "Undefined",
series = "CTIT Technical Report Series",
publisher = "Centre for Telematics and Information Technology (CTIT)",
number = "TR-CTIT-11-12",
address = "Netherlands",

}

Wombacher, A & Huq, MR 2011, Towards Automatic Capturing of Manual Data Processing Provenance. CTIT Technical Report Series, no. TR-CTIT-11-12, Centre for Telematics and Information Technology (CTIT), Enschede.

Towards Automatic Capturing of Manual Data Processing Provenance. / Wombacher, Andreas; Huq, M.R.

Enschede : Centre for Telematics and Information Technology (CTIT), 2011. 16 p. (CTIT Technical Report Series; No. TR-CTIT-11-12).

Research output: Book/ReportReportProfessional

TY - BOOK

T1 - Towards Automatic Capturing of Manual Data Processing Provenance

AU - Wombacher, Andreas

AU - Huq, M.R.

PY - 2011

Y1 - 2011

N2 - Often data processing is not implemented by a work ow system or an integration application but is performed manually by humans along the lines of a more or less specified procedure. Collecting provenance information during manual data processing can not be automated. Further, manual collection of provenance information is error prone and time consuming. Therefore, we propose to infer provenance information based on the read and write access of users. The derived provenance information is complete, but has a low precision. Therefore, we propose further to introducing organizational guidelines in order to improve the precision of the inferred provenance information.

AB - Often data processing is not implemented by a work ow system or an integration application but is performed manually by humans along the lines of a more or less specified procedure. Collecting provenance information during manual data processing can not be automated. Further, manual collection of provenance information is error prone and time consuming. Therefore, we propose to infer provenance information based on the read and write access of users. The derived provenance information is complete, but has a low precision. Therefore, we propose further to introducing organizational guidelines in order to improve the precision of the inferred provenance information.

KW - METIS-277635

KW - EWI-20164

KW - IR-77220

M3 - Report

T3 - CTIT Technical Report Series

BT - Towards Automatic Capturing of Manual Data Processing Provenance

PB - Centre for Telematics and Information Technology (CTIT)

CY - Enschede

ER -

Wombacher A, Huq MR. Towards Automatic Capturing of Manual Data Processing Provenance. Enschede: Centre for Telematics and Information Technology (CTIT), 2011. 16 p. (CTIT Technical Report Series; TR-CTIT-11-12).