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81 results for “research communication”
Figure 3a. from: Defining the Scholarly Commons - Reimagining Research Communication. Report of Force11 SCWG Workshop, Madrid, Spain, February 25-27, 2016 - Research Ideas and Outcomes 2: e9340 (26 May 2016) https://doi.org/10.3897/rio.2.e9340
Figure 3a. - Islands of possibilities (part of YKON facilitation) at Madrid workshopFigure 3a.Islands of possibilities located in workshop roomFigure 3b.Personality modification islandFigure 3c.Observation island <br> Islands of possibilities located in workshop room
Figure 8a. from: Defining the Scholarly Commons - Reimagining Research Communication. Report of Force11 SCWG Workshop, Madrid, Spain, February 25-27, 2016 - Research Ideas and Outcomes 2: e9340 (26 May 2016) https://doi.org/10.3897/rio.2.e9340
Figure 8a. - Workshop visualization - collection of ideas and group visionsFigure 8a.Visualization showing all ideas generated collectively in the first round (session 3, dark grey) or second round (session 4, light grey), and those generated by the respective groups (solid colors) as part of their vision of scholarly communication. Figure 8b.Visualizaton showing all groups' visions as interconnected elements (triples), with common elements overlapping. <br>
Market Research - What's become... of new entrants in research workflows and scholarly communication? ('long list')
<p>Market Research - What’s become... of new entrants in research workflows and scholarly communication?</p> <p>Full report to be published as preprint on OSF Preprints shortly.</p> <p>To systematically create a list of the new entrants in research workflows and scholarly communication that I’ve seen over the years, I used a range of resources, listed hereunder:</p> <ul> <li>400+ Tools and innovations in scholarly communication (charting the <a href="http://bit.ly/innoscholcomm-list">creation and availability</a> (supply side))<a href="#_edn1">[i]</a>. This database continues to build on the 2015-2016 survey by Bianca Kramer & Jeroen Bosman (both at Utrecht University Library), who are interested in the way information is created, shared, and processed in academia<a href="#_edn2">[ii]</a>. From this source I pulled 683 players. From the answers to the open and closed questions in the 2015-2016 survey I found 225 players.</li> <li>Presenters at STM events<a href="#_edn3">[iii]</a> from 2010-2017. This contributed 53 players.</li> <li>Outsell<a href="#_edn4">[iv]</a> ‘Companies to watch’, as per their annual Information Industry Outlook (2009-2017). This source provided 29 players.</li> <li>Pitches at APE (Academic Publishing in Europe) Conferences<a href="#_edn5">[v]</a> between 2011-2017. Here I found 44 players.</li> <li>Nominees for the ALPSP Award for Innovation in Publishing. This source contributed 10 players from 2014-2017.<a href="#_edn6">[vi]</a>.</li> </ul> <p>This file contains the 'long list' per 31 December 2018.</p> <p><a href="#_ednref1">[i]</a> https://docs.google.com/spreadsheets/d/1KUMSeq_Pzp4KveZ7pb5rddcssk1XBTiLHniD0d3nDqo/edit#gid=0</p> <p><a href="#_ednref2">[ii]</a> https://101innovations.wordpress.com/</p> <p><a href="#_ednref3">[iii]</a> https://www.stm-assoc.org/events/?previous</p> <p><a href="#_ednref4">[iv]</a> https://www.outsellinc.com/</p> <p><a href="#_ednref5">[v]</a> https://www.ape2019.eu/ape-literature</p> <p><a href="#_ednref6">[vi]</a> https://www.alpsp.org/Awards</p>
Market Research - What's become... of new entrants in research workflows and scholarly communication? ('sample V2')
<p>Market Research - What’s become... of new entrants in research workflows and scholarly communication?</p> <p>Full report to be published as preprint on OSF Preprints shortly.</p> <p>To systematically create a list of the new entrants, a range of approaches and sources were used. This resulted in a long list (see: <a href="https://zenodo.org/record/2530048#.XDnfnFxKjIV">https://zenodo.org/record/2530048#.XDnfnFxKjIV</a>).</p> <p>The ‘long list’ was shortened to a sample of 120 independent for-profit startups through various filtering exercises, described in the full report. For the sample, three questions were investigated: 1. Did they still exist (independently) in 2018? 2. If so, how were they funded and how were they doing? 3. If they were acquired by 2018, by whom and when were they taken over?</p> <p>This file contains the ‘sample’ and answers to the research questions per 31 December 2018.</p>
Communicating research - What could possibly go wrong?
<p>The results of scholarly research are typically communicated via<br /> research articles. Researchers (or anyone else) can usually get access<br /> to such an article only if they or their institutions have subscribed<br /> to the journal that the article is published in. There are thousands<br /> of such journals.<br /> <br /> This system of distributing research made perfect sense in the paper<br /> age, but keeping it this far into the digital age is a serious #Fail<br /> of the research system.<br /> <br /> The video features an interview focused on an alternative research<br /> communication system known as Open Access. It means that readers do<br /> not have to pay for accessing the articles, and that they can use the<br /> text and associated materials in any way they want, provided the<br /> original source and its open license are acknowledged.<br /> <br /> Such an interview is often edited before it is cut, just like the<br /> final published research articles only contain a heavily edited<br /> representation of the research they report on, with most of the<br /> process actually being hidden to other researchers and the public.<br /> <br /> We want to expose that process of only publishing polished versions -<br /> and discarding negative results on the go - by making the process<br /> visible that created this video, showing different takes all centred<br /> around the question "What is Open Access?".<br /> <br /> We think that published research should be accompanied by all the raw<br /> data, and to illustrate that, we are also uploading the unedited<br /> version of the interview via a platform for sharing research data.<br /> <br /> This is a contribution to http://www.fastforwardscience.de via https://www.youtube.com/watch?v=KVq5o38sUGU<br /> <br /> Music: More Time by Mamavibe Reggae Vibration, http://www.jamendo.com/en/track/89201...<br /> CC BY 3.0<br /> <br /> Video under CC BY 4.0 Licence</p>
Research table for visualization of research performance of the German National Library of Science and Technology, German National Library of Medicine and German National Library of Economics via different communication channels
<p>A collection of data for (a practice) work during my studies for Bachelor. Since there wasn't much time given the data collection isn't as complete as it could be. Also, all text is in German.</p> <p>Definition of variables for data collection can be found in my finished work "How is reserach performance of the German National Library of Science and Technology, German National Library of Medicine and German National Library of Economics made visible via different communication channels; analysis of information of publication on official social media channels and news on offical webside" (in question to be published on Zenodo).</p> <p>Collected data from following official communication channels: Facebook, Twitter, Blogs, Google +, Youtube, Flickr, LinkedIn, Research-Gate, Slideshare, repository and news on websites. For some channels not all data could be collected. Research period from 01.08.2016 to 01.02.2017 (half a year).</p>
Figure 1. from: Defining the Scholarly Commons - Reimagining Research Communication. Report of Force11 SCWG Workshop, Madrid, Spain, February 25-27, 2016 - Research Ideas and Outcomes 2: e9340 (26 May 2016) https://doi.org/10.3897/rio.2.e9340
Figure 1. - Demographic breakdown of workshop attendees
Figure 4. from: Defining the Scholarly Commons - Reimagining Research Communication. Report of Force11 SCWG Workshop, Madrid, Spain, February 25-27, 2016 - Research Ideas and Outcomes 2: e9340 (26 May 2016) https://doi.org/10.3897/rio.2.e9340
Figure 4. - Perspective Engine
Figure 2. from: Defining the Scholarly Commons - Reimagining Research Communication. Report of Force11 SCWG Workshop, Madrid, Spain, February 25-27, 2016 - Research Ideas and Outcomes 2: e9340 (26 May 2016) https://doi.org/10.3897/rio.2.e9340
Figure 2. - Opening night presentation by Maryann Martone (available as Google Slides)
Communication Research in OECD Countries: H-Classics Dataset
<p>Communication Research in OECD Countries: H-Classics Dataset</p>
Communicating Animal Research Part 2
<p><strong>Episode Summary:</strong></p> <p>In Part 2 of the episode on communicating animal research we bring you excerpts from an EARA event at the MDC at which scientists and science communicators discussed their views on how and why animal research should be communicated more openly. </p> <p><strong>Links: </strong></p> <p><a href="https://www.orion-openscience.eu/node/201">Factsheets</a></p> <p><a href="http://eara.eu/en/improving-openness-in-animal-research-in-germany-watch-the-videos/">Full talks: Improving openness in animal research in Germany – watch the videos</a></p> <p><strong>Quotes: </strong></p> <p>'Only if scientists openly discuss animal research we can reach our goal: a consensus that the majority of society can support. We need to defend the middle ground'</p>
Communication Challenges in adopting scrum methodology in research-based projects
<p>The folder contains three other folders, one has the questionnaire question, the second one has participants' answers to the questionnaire, and the last one has data analysis files for the questionnaire. </p>
Plots source data for the Communications Earth & Environment research article titled: Diurnal expansion and contraction of englacial fracture networks revealed by seismic shear wave splitting
<p>The source data for plotting figures presented in the main text of article titled: Diurnal expansion and contraction of englacial fracture networks revealed by seismic shear wave splitting.</p>
Scalable Communication Modalities for Returning Genetic Research Results
ClinicalTrials.gov study NCT04407611. IPD Sharing: NO. Countries: 1. Publications: 1.
RESEARCH OF NONVERBAL COMMUNICATION IN WORLD LINGUISTICS.
Open the record for dataset details and reuse information.
Figure 3 from: Hershberger WL (2021) Substrate-borne vibrations used during acoustic communication and the existence of courtship songs in some species of the genus Anaxipha (Saussure) (Orthoptera: Trigonidiidae: Trigonidiinae). Journal of Orthoptera Research 30(2): 185-191. https://doi.org/10.3897/jor.30.70990
Figure 3 Mean number of drumming bouts performed during different portions of calling songs in A. tinnulacita showing standard error of the means. The occurrence of drumming was variable from one calling song to the next. Consistently, more drumming bouts were given during the first 40 percent and the last 20 percent of the major echemes of calling song (n = 14 songs, 1218 drumming bouts total).
Figure 2 from: Hershberger WL (2021) Substrate-borne vibrations used during acoustic communication and the existence of courtship songs in some species of the genus Anaxipha (Saussure) (Orthoptera: Trigonidiidae: Trigonidiinae). Journal of Orthoptera Research 30(2): 185-191. https://doi.org/10.3897/jor.30.70990
Figure 2 Percent usage of different length drumming bouts during calling songs in A. tinnulacita. (n = 24 songs; 1,503 tapping bouts; error bars are ±SD of the means).
Figure 6 from: Hershberger WL (2021) Substrate-borne vibrations used during acoustic communication and the existence of courtship songs in some species of the genus Anaxipha (Saussure) (Orthoptera: Trigonidiidae: Trigonidiinae). Journal of Orthoptera Research 30(2): 185-191. https://doi.org/10.3897/jor.30.70990
Figure 6 Audio spectrograms of courtship songs of four species of Anaxipha showing drumming bouts (below 2 kHz) and tegminal sounds (above 4 kHz). Low frequencies (below 2 kHz) were enhanced to better show the low-frequency drumming bouts. A.Anaxipha exigua, dark areas below 1 kHz are drumming bouts; B.Anaxipha tinnulacita, fine, dark lines after 1:05 (min:sec) are the drumming bouts; C.Anaxipha tinnulenta, the dark areas after 5 sec and below 2 kHz are the drumming bouts; D.Anaxipha thomasi, the compact dark areas below 2 kHz are the drumming bouts. The clustered, individual taps between drumming bouts are sounds made by the insect jumping repeatedly and rapidly between echemes during the courtship display. Note that the time scales for each courtship song are different, as each species courtship song length is different and variable.
Figure 5 from: Hershberger WL (2021) Substrate-borne vibrations used during acoustic communication and the existence of courtship songs in some species of the genus Anaxipha (Saussure) (Orthoptera: Trigonidiidae: Trigonidiinae). Journal of Orthoptera Research 30(2): 185-191. https://doi.org/10.3897/jor.30.70990
Figure 5 Audio spectrograms of three seconds of calling and courtship songs of the four species of Anaxipha. A1.A. exigua calling song; A2.A. exigua courtship song; B1.A. tinnulacita calling song; B2.A. tinnulacita courtship song; C1.A. tinnulenta calling song; C2.A. tinnulenta courtship song; D1.A. thomasi calling song; D2.A. thomasi courtship song. Compared to calling song, the individual syllables of courtship songs are shorter, patterned differently, with more sounds associated with wing-opening movements (wing-dragging).
Figure 4 from: Hershberger WL (2021) Substrate-borne vibrations used during acoustic communication and the existence of courtship songs in some species of the genus Anaxipha (Saussure) (Orthoptera: Trigonidiidae: Trigonidiinae). Journal of Orthoptera Research 30(2): 185-191. https://doi.org/10.3897/jor.30.70990
Figure 4 Oscillograms of the calling and courtship songs of the four species of Anaxipha. A1.A. exigua calling song; A2.A. exigua courtship song; B1.A. tinnulacita calling song; B2.A. tinnulacita courtship song; C1.A. tinnulenta calling song; C2.A. tinnulenta courtship song; D1.A. thomasi calling song; D2.A. thomasi courtship song. All audio files were normalized to -3 dBFS for comparison. Y-axis represents amplitude and is analogous to dBFS (full scale).
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.