@inproceedings{7577cbdfd83f4d7f9b6aff5ce0f256f7,
title = "Decision Tree Analysis for Estimating the Costs and Benefits of Disclosing Data",
abstract = "The public expects government institutions to open their data to enable society to reap the benefits of these data. However, governments are often reluctant to disclose their data due to possible disadvantages. These disadvantages, at the same time, can be circumstances by processing the data before disclosing. Investments are needed to be able to pre-process a dataset. Hence, a trade-off between the benefits and cost of opening data needs to be made. Decisions to disclose are often made based on binary options like “open” or “closed” the data, whereas also parts of a dataset can be opened or only pre-processed data. The objective of this study is to develop a decision tree analysis in open data (DTOD) to estimate the costs and benefits of disclosing data using a DTA approach. Experts{\textquoteright} judgment is used to quantify the pay-offs of possible consequences of the costs and benefits and to estimate the chance of occurrence. The result shows that for non-trivial decisions the DTOD helps, as it allows the creation of decision structures to show alternatives ways of opening data and the benefits and disadvantages of each alternative.",
keywords = "Benefits, Costs, Decision tree analysis, Estimation, Investments, Open data, Open government",
author = "Ahmad Luthfi and Marijn Janssen and Joep Crompvoets",
note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019 ; Conference date: 18-09-2019 Through 20-09-2019",
year = "2019",
doi = "10.1007/978-3-030-29374-1_17",
language = "English",
isbn = "9783030293734",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "205--217",
editor = "Pappas, {Ilias O.} and Pappas, {Ilias O.} and John Krogstie and Letizia Jaccheri and Patrick Mikalef and Dwivedi, {Yogesh K.} and Matti M{\"a}ntym{\"a}ki",
booktitle = "Digital Transformation for a Sustainable Society in the 21st Century - 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, Proceedings",
}