Towards a taxonomy for annotation of data science experiment repositories Sivasothy, Shangeetha, Barnett, Scott, Fernando, Niroshinie, Vasa, Rajesh, Sinha, R and Simmons, Anj 2021, Towards a taxonomy for annotation of data science experiment repositories, in SCAM 2021 : Proceedings of the IEEE 21st International Working Conference on Source Code Analysis and Manipulation, IEEE, Piscataway, N.J., pp. 76-80, doi: 10.1109/SCAM52516.2021.00018. Attached Files Name Description MIMEType Size Downloads Title Towards a taxonomy for annotation of data science experiment repositories Author(s) Sivasothy, Shangeetha orcid.org/0000-0002-3187-4937 Barnett, Scott orcid.org/0000-0003-4805-1467 Fernando, Niroshinie Vasa, Rajesh orcid.org/0000-0001-8402-2853 Sinha, R Simmons, Anj Conference name Source Code Analysis and Manipulation. Conference (21st : 2021 : Luxembourg) Conference location Luxembourg Conference dates 2021/09/27 - 2021/09/28 Title of proceedings SCAM 2021 : Proceedings of the IEEE 21st International Working Conference on Source Code Analysis and Manipulation Publication date 2021 Start page 76 End page 80 Total pages 5 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) Science & Technology Technology Computer Science, Software Engineering Computer Science data scientists experiments source code taxonomy information finding CORE2020 C ISBN 9781665448970 ISSN 2470-6892 1942-5430 Language eng DOI 10.1109/SCAM52516.2021.00018 HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30160143 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology A2I2 (Applied Artificial Intelligence Institute) Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 09 Dec 2021, 15:31:24 EST Thu, 09 Dec 2021, 15:32:47 EST Thu, 09 Dec 2021, 15:33:33 EST Thu, 09 Dec 2021, 16:35:14 EST Thu, 09 Dec 2021, 16:36:44 EST Sat, 05 Feb 2022, 01:45:26 EST Tue, 08 Feb 2022, 14:10:24 EST Sat, 19 Feb 2022, 01:31:25 EST Fri, 22 Apr 2022, 10:28:21 EST Fri, 22 Apr 2022, 12:19:23 EST Fri, 22 Apr 2022, 12:23:34 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 54 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Thu, 09 Dec 2021, 15:33:33 EST