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Records of the university have specific characteristics that other documents do not have. This tool describes four criteria to use to determine if you are working with records of the university. This training resource includes three related files: an audio file (5 min 45), a written script of the audio, and a visual graphic. Music rights are different from recording rights, but the music being performed by the pipe band during convocation is in the public domain.
Author: Rowe, Joy
Date created: 2015-10-01
Records management is all about how long to keep records, who keeps them, and what happens to them at the end of their "life". All of this information can be found in the university's retention schedules (aka "RRSDAs"). Retention schedules have several parts, and it might take some practice to learn how to read and apply them. This training resource includes several related files: two audio file, including a long version (12.5 minutes) and a shorter version (7.5 minutes), a written transcript of each audio, and a link to an interactive document stored on ThingLink. The purpose is to give staff multiple ways to interact with the key records management question, "How do I read a retention schedule?". Music rights are different from recording rights, but the music being performed by the pipe band during convocation is in the public domain.
Author: Rowe, Joy
Date created: 2015-06-01
In this podcast episode, we look at the basics of naming conventions. We discuss what should be put in every file title, and what to NEVER put in a file title. This training resource includes several related files: an audio file (7 min), a written transcript of the audio, a graphic titled "Document Naming conventions" and a link to the audio file on SoundCloud. The purpose is to give staff multiple ways to interact with the key records management question, "How do I name digital records?". Music rights are different from recording rights, but the music being performed by the pipe band during convocation is in the public domain.
Author: Rowe, Joy
Date created: 2015-10-01
This training resource includes related files: a PDF and docx version of the graphic for easier reuse and remixing.
Author: Rowe, Joy
Date created: 2016-02-23
This poster was presented at the annual conference for ARMA Canada on June 14th, 2016. The poster includes several Creative Commons licensed resources, including graphics. The poster is licensed under Creative Commons under Creative Commons Attribution-NonCommercial 4.0 International License. Items include a graphic of the poster in PDF format, an audio description of the poster, and a script of the audio to increase accessibility to the work.
Author: Rowe, Joy
Date created: 2016-06-14
The minimum metadata data is described in a document with text and graphics and an audio file (to be added later).
Author: Rowe, Joy
Date created: 2016-05-25
This version of the article has been approved by the publisher for deposit in the institutional repository. Please see the Journal of the South African Society of Archivists for the published version.
Author: Rowe, Joy
Date created: 2016
This is the rehearsal presentation for a 2016 panel at the Association of Canadian Archivists in Montreal. This item includes a video with closed captioning and a transcript. The actual panel presentation was given on June 2nd, 2016.
Author: Rowe, Joy
Date created: 2016-06
The data for this project is a subset of comments from the SFU Opinion and Comments Corpus (SOCC). This subset, the Constructive Comments Corpus (C3) consists of 12, 000 comments annotated by crowdworkers for constructiveness and its characteristics. Citation: Kolhatkar, V., N. Thain, J. Sorensen, L. Dixon and M. Taboada (2020) C3: The Constructive Comments Corpus. Jigsaw and Simon Fraser University. [Data] License: Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
For more information about this work, please see: Kolhatkar, V., N. Thain, J. Sorensen, L. Dixon and M. Taboada (to appear) Classifying Constructive Comments. Journal article under review. http://www.sfu.ca/discourse-lab/.
Other related materials: Kolhatkar, V., H. Wu, L. Cavasso, E. Francis, K. Shukla and M. Taboada The SFU Opinion and Comments Corpus: A corpus for the analysis of online news comments. Corpus Pragmatics. https://doi.org/10.1007/s41701-019-00065-w
To access this data, please contact mtaboada@sfu.ca.
For more information about this work, please see: Kolhatkar, V., N. Thain, J. Sorensen, L. Dixon and M. Taboada (to appear) Classifying Constructive Comments. Journal article under review. http://www.sfu.ca/discourse-lab/.
Other related materials: Kolhatkar, V., H. Wu, L. Cavasso, E. Francis, K. Shukla and M. Taboada The SFU Opinion and Comments Corpus: A corpus for the analysis of online news comments. Corpus Pragmatics. https://doi.org/10.1007/s41701-019-00065-w
To access this data, please contact mtaboada@sfu.ca.
Author: Kolhatkar, Varada, Author: Thain, Nithum, Author: Sorensen, Jeffrey, Author: Dixon, Lucas, Author: Taboada, Maite
Date created: 2020-04-01
The SFU Opinion and Comments Corpus (SOCC) is a corpus for the analysis of online news comments. Our corpus contains comments and the articles from which the comments originated. The articles are all opinion articles, not hard news articles. The corpus is larger than any other currently available comments corpora, and has been collected with attention to preserving reply structures and other metadata. In addition to the raw corpus, we also present annotations for four different phenomena: constructiveness, toxicity, negation and its scope, and appraisal. The data is divided into two main parts: raw data and annotated data. The raw data contains three CSVs: gnm_artcles.csv, gnm_comments.csv, and gnm_comment_threads.csv. The annotated data contains annotations for constructiveness, negation, and appraisal. The details of our different corpora and how to use them are on the following GitHub page. https://github.com/sfu-discourse-lab/SOCC/blob/master/README.md. To access this data, please contact mtaboada@sfu.ca.
Author: Kolhatkar, Varada, Author: Wu, Hanhan, Author: Cavasso, Luca, Author: Francis, Emilie, Author: Shukla, Kavan, Author: Taboada, Maite, Author: Saleem, Mehvish
Date created: 2018-01-18
Author: Torabi Asr, Fatemeh, Author: Mazraeh, Mohammad, Author: Lopes, Alexandre, Author: Gautam, Vasundhara, Author: Gonzales, Junette, Author: Rao, Prashanth, Author: Taboada, Maite
Date created: 2021-01-29