The Power of Sharing

A comic about the power of sharing: a collaboration between figshare, Symbola Comics and La Grúa Estudio. Concept and story by Francisco De La Mora & Ernesto Priego Art by Cristina Durán La Grúa Estudio Design by Daniela Rocha Originally published as de la Mora, Francisco et al.. “The Power of Sharing”. figshare, 21 Mar. 2018. Online. Internet. 21 Mar. 2018. Available: https://figshare.com/articles/The_Power_of_Sharing/5993392/1. DOI: https://doi.org/10.6084/m9.figshare.5993392.v

A #comicsuf16 Archive [06/04/2016 15:55:58 - 10/04/2016 13:54:47 BST]

#comicsuf16 was the hashtag used for the 13th annual Conference on Comics and Graphic Novels, "Transnational Comics: Crossing Gutters, Transcending Boundaries,” which took place April 8th-10th 2016 at the University of Florida, Gainesville, Florida, USA.<br><br>This is a .csv file containing approximately 249 unique tweets publicly published with the hashtag #comicsuf16 during the indicated period (06/04/2016 15:55:58 - 10/04/2016 13:54:47 BST). <br><br>The Tweets contained in this file were collected by Ernesto Priego using Martin Hawksey's TAGS 6.0.  <br>  <br>Only users with at least 10 followers were included in the archive. Retweets have been included. Data is likely to require refining and deduplication.<br><br>Times under Column D are in UTC (conference local time); times under Column E are in BST (time of collection). Summertime changes may have not been reflected in the collection. <br><br>Please note that both research and experience show that the Twitter search API is not 100% reliable. Large Tweet volumes affect the search collection process. The API might "over-represent the more central users", not offering "an accurate picture of peripheral activity" (Gonzalez-Bailon, Sandra, et al. 2012). It cannot be guaranteed this file contains each and every Tweet tagged with #comicsuf16 during the indicated period, and is shared for comparative and indicative educational research purposes only. <br><br>The data is shared as is. The sharing of this dataset complies with Twitter's Developer Rules of the Road.  <br><br>Only content from public accounts is included and was obtained from the Twitter Search API. The shared data is also publicly available to all Twitter users via the Twitter Search API and available to anyone with an Internet connection via the Twitter and Twitter Search web client and mobile apps without the need of a Twitter account.<br><br>The profile_image_url and entities_str metadata were removed before public sharing.<br><br>Each Tweet and its contents were published openly on the Web with the queried hashtag and are responsibility of the original authors. <br><br>Tweets published publicly by scholars during academic conferences are often tagged (labeled) with a hashtag dedicated to the conference in question. <br><br>The purpose and function of hashtags is to organise and describe information/outputs under the relevant label in order to enhance the discoverability of the labeled information/outputs (tweets in this case). A hashtag is metadata users choose freely to use so their content is associated, directly linked to and categorised with the chosen hashtag. <br><br>Though every reason for Tweeters' use of hashtags cannot be generalised nor predicted, it can be argued that scholarly Twitter users form specialised, self-selecting networks that tend to observe, more often than not, scholarly modes of behaviour. Generally it can be argued that scholarlyTwitter users tag their public tweets with a conference hashtag as a means to report from, comment on and generally contribute publicly to the scholarly conversation around conferences. <br><br>Professional associations like the Modern Language Association recognise tweets as citeable scholarly outputs. Archiving scholarly tweets is a means to preserve this form of rapid online scholarship that otherwise can very likely become unretrievable as time passes; Twitter's search API has well-known temporal limitations for retrospective historical search and collection. <br><br>Beyond individual tweets as scholarly outputs, the collective scholarly activity on Twitter around a conference or academic project or event can provide interesting insights for the contemporary history of scholarly communications. To date, collecting in real time is the only relatively accurate method to archive tweets at a small scale. Though these datasets have limitations and are not thoroughly systematic, it is hoped they can contribute to developing new insights into the discipline's presence on Twitter over time.  <br><br>No sensitive information is contained in this dataset.<br><br>This dataset is shared to archive, document and encourage open educational research into scholarly activity on Twitter.  <br

100 Days of Tweet IDs and Most Frequent Terms in Tweets from_user_id_str 25073877

This is an Excel workbook containing two sheets. The first sheet contains 503 rows corresponding to 503 Tweet id strings from_user_id_str 25073877 and the following corresponding metadata:<br><br>created_at time <br>user_lang <br>in_reply_to_user_id_str f<br> from_user_id_str <br> in_reply_to_status_id_str <br>source <br>user_followers_count <br>user_friends_count<br><br>Tweet texts, URLs and other metadata such as profile_image_url, status_url and entities_str have not been included.<br><br>An attempt to remove duplicated entries was made but duplicates might have remained so further data refining might be required prior to analyses.<br><br>The second sheet contains 400 rows corresponding to the most frequent terms in the dataset's Tweets' texts. The text analysis was performed with the Terms Tool from Voyant Tools by Stéfan Sinclair & Geoffrey Rockwell (2017). An edited English stop words list was applied to remove Twitter data specific terms such as t.co, https, user names, etc. The analysed Tweets contained emojis and other special characters; due to character encoding these will be reflected in the terms list as character combinations. <br><br><b>Motivations to Share this Data</b><br><br>Archived Tweets can provide interesting insights for the study of contemporary history of media, politics, diplomacy, etc. The queried account is a public account widely agreed to be of exceptional national and international public interest. Though they provide public access to tweeted content in real time, Twitter Web and mobile clients are not suited for appropriate Tweet corpus analysis. For anyone researching social media, access to the data is absolutely essential in order to perform, review and reproduce studies. <br><br>Archiving Tweets of public interest due to their historic significance is a means to both preserve and enable reproducible study of this form of rapid online communication that otherwise can very likely become unretrievable as time passes. Due to Twitter's current business model and API limits, to date collecting in real time is the only relatively reliable method to archive Tweets at a small scale.<br><br>So far Twitter data analysis and visualisation has been done without researchers providing access to the source data that would allow reproducibility. It is appreciated that an Excel workbook is far from ideal as a file format, but due to the small scale the intention is to make this data human readable and available to researchers in a variety of non-technical fields. <br><br> <b>Methodology and Limitations<br></b><br>The Tweets contained in this file were collected by Ernesto Priego using a Python script. The data collection search query was from:realdonaldtrump. A trigger was scheduled to collect atuomatically every hour, this means that any Tweets immediately deleted after publication have not been collected. <br> <br>The original data harvesting was refined to delete duplications, to subscribe to Twitter's Terms and Conditions and so that the data was sorted in chronological order.<br><br>Duplication of data due to the automated collection is possible so further data refining might be required. <br><br>The file may not contain data from Tweets deleted by the queried user account immediately after original publication. <br><br>Both research and experience show that the Twitter search API is not 100% reliable. (Gonzalez-Bailon, Sandra, et al. 2012).<br><br>Apart from the filters and limitations already declared, it cannot be guaranteed that this file contains each and every Tweet posted by the queried account during the indicated period. This file dataset is shared for archival, comparative and indicative educational research purposes only. <br><br>The content included is from a public Twitter account and was obtained from the Twitter Search API. The shared data is also publicly available to all Twitter users via the Twitter Search API and available to anyone with an Internet connection via the Twitter and Twitter Search web client and mobile apps without the need of a Twitter account.<br><br>The original Tweets, their contents and associated metadata were published openly on the Web from the queried public account and are responsibility of the original authors. Original Tweets are likely to be copyright their individual authors but please check individually. The license on this output applies to the data collection; third-party content should be attributed to the original authors and copyright owners. <br><br>Please note that usernames, user profile pictures and full text of the Tweets collected have not been included in this file. No private personal information is shared in this dataset. As indicated above this dataset does not contain the text of the Tweets. The collection and sharing of this dataset is enabled and allowed by Twitter's Privacy Policy. The sharing of this dataset complies with Twitter's Developer Rules of the Road.<br><br>This dataset is shared to archive, document and encourage open educational research into political activity on Twitter.<br><br><b>Other Considerations</b><br><br>All Twitter users agree to Twitter's Privacy and data sharing policies. Social media research remains in its infancy and though work has been done to develop best practices there is yet no agreement on a series of grey areas relating to reseach methodologies including ad hoc social media specific research ethics guidelines for reproducible research. <br><br>It is understood that public figures Tweet publicly with the conscious intention to have their Tweets publicly accessed and discussed. It is assumed that a public figure Tweeting publicly is of public interest and that such figure, as a Twitter user, has given implicit consent, by agreeing explicitly to Twitter's Terms and Conditions, for their Tweets to be publicly accessed and discussed, including critical analysis, without the need for prior written permission. There is therefore no difference between collecting data and performing data analysis from a public printed or online publication and collecting data and performing data analysis of a dataset containing Twitter data from a public account from a public user in a public role. Though these datasets have limitations and are not thoroughly systematic, it is hoped they can contribute to developing new insights into the discipline's presence on Twitter over time. Reproducibility is considered here a key value for robust and trustworthy research. <br><br>Different scholarly professional associations like the Modern Language Association recognise Tweets, datasets and other online and digital resources as citeable scholarly outputs.<br><br>The data contained in the deposited file is otherwise available elsewhere through different methods.<br><br><br

#TheDataDebates Tweet Timestamps, Source, User Language

<p><strong>‘</strong><a href="https://www.bl.uk/events/social-media-data-whats-the-use" target="_blank"><strong>S</strong>ocial Media Data: What’s the use</a>‘ was the title of a panel discussion held at The British Library, London, on Wednesday 21 September 2016, 18:00 – 20:00. The official hashtag of the event was #TheDataDebates.</p> <p>I made a collection of Tweets tagged with #TheDataDebates published publicly between 12/09/2016 09:06:52 and 22/09/2016 09:55:03 (BST).</p><p>This CSV file includes only timestamps, source and user language metadata from the Tweets in archive.</p><p>For methodology, limitations, implications please refer to the link below.</p><p>Dataset shared for research and archival purposes and educational use; no sensitive nor personal information has been included/shared.</p><p><br></p><p><br></p><p><br></p><p><br></p

THE/Elsevier’s Arts and Humanities 2015-2016 Top 100 by Country, Population, GDP and Expenditure in Education (Latest World Bank Data)

<p>A spreadsheet containing THE/Elsevier’s Arts and Humanities 2015-2016 Top 100<br>by Country, Population, GDP and Expenditure in Education (Latest World Bank Data).</p> <p>Some figures with commas for human readability.</p> <p>TES data is likely to be owned by or licensed by TES Global. Scopus data is Copyright © 2015 Elsevier B.V. All rights reserved .Scopus® is a registered trademark of Elsevier B.V.</p> <p>This spreadsheet contains data rearranged for research purposes sourced from freely available content published on https://www.timeshighereducation.com/world-university-rankings/2016/subject-ranking/arts-and-humanities and is shared here for educational and research purposes. No copyright infringement intended.</p> <p>The World Bank Open Data web sites offer free and open access to data about development in countries around the globe.</p> <p> </p

Audio: Subcomandate Marcos UNAM Campus Speech, Mexico City, 21 March 2001

<p>"The best way of gazing into the future is by looking down."</p> <p>-Subcomandante Marcos, National Autonomous University of Mexico (UNAM), 2001</p> <p>This is an mp3 file containing the recording of Subcomandante Marcos' UNAM 2001 speech.</p> <p>I taped this speech by Subcomandante Marcos at UNAM's main campus on 21 March<br>2001. It was originally recorded on a Sony MC-60 microcassette. I digitised it as mp3 in 2012.</p> <p>(Apologies: from the 13th minute the tape gets a little funny (it got tight over time) so the voice sounds a bit slower than it should be).</p> <p>You can hear the helicopters hovering over the demonstration and how the audience was unusually respectful, captivated, listening.</p> <p>A transcription in Spanish can be found in various sources, including this blog: https://emmalva.wordpress.com/2012/07/18/discurso-del-subcomandante-marcos-en-la-unam-miercoles-21marzo2001/</p> <p> </p> <p> </p

#scholarAfrica: Enhancing the Visibility of Research. Tools and Strategies

<p>This deck of slides is shared online with a CC-BY license in .pptx format to encourage easier reuse, adaptation, augmentation, remixing, etc.  As a consequence of uploading as a .pptx file some of the formatting and layout  is likely to have been affected.</p> <p>The OpenUCT Initiative, in collaboration with the Carnegie Corporation, hosted a two-day workshop in Nairobi on 10-11 March 2014 to address practical strategies for increasing the discoverability of African scholarship.</p> <p>This resource is based on the deck of slides Ernesto Priego (City University London) presented on 10 March 2014. Some of the slides have been slightly modified for open online sharing.</p> <p> Research agencies represented amongst the delegates included the Regional Universities Forum for Capacity Building in Agriculture (RUFORUM), TrustAfrica, the African Population and Health Research Center (APHRC), the African Leadership Center (ALC), the Council for the Development of Social Science Research in Africa (CODESRIA) and the International Livestock Research Institute (ILRI).</p> <p>See more at the links below</p

Almetrics of articles from the comics journals mentioned at least once in the past 1 year as tracked by Altmetric (20 August 2015)

<p>This is a zipped version of a folder containing a ReadMe text file, a .csv and a .png file.</p> <p>The text file provides contextual information such as provenance, methodology and how to cite information.</p> <p>The .csv file is a bibliographic dataset containing an Altmetric Explorer report listing the 62 articles and their altmetrics from the comics journals tracked by Altmetric as mentioned on selected Web services at least once in the past 1 year.</p> <p>The report includes the search results for articles published in the comics journals tracked by Altmetric: The Comics Grid: Journal of Comics Scholarship, Studies in Comics, Journal of Graphic Novels & Comics and ImageTexT: Interdisciplinary Comics Studies (the latter did not have any mentioned articles).</p> <p>The report was obtained on Thursday 20 August 2015, 6pm BST.</p> <p>Please note that future reports are very likely to differ, as social media activity changes over time and new articles are published; the articles are ordered by total Altmetric score in the reported period and data represents the time in which it was obtained and it is the result of the Altmetric algorithm.</p> <p>The .png file is a chart visualising the tracked journals’ altmetrics activity in the reported period and it was obtained as a screenshot from the Altmetric Explorer workspace.</p> <p>This data is shared for educational and research purposes.</p> <p>To find out more about Altmetric, the Altmetric Score and their ranking algorithm, go to http://www.altmetric.com/</p> <p>If you refer to this data, please do use the citation information above. If you find it interesting, sharing this resource on social media or by email will also be appreciated.</p> <p>With many thanks to Altmetric for providing access to the data.</p