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8 results for “science infrastructure”
Data for "Breaking the Paywall: The role of Open Journal System as key Open Science infrastructure"
<h3><strong>Context</strong></h3> <p>This research was conducted within the NSF-SEEKCommons Project, a research initiative dedicated to supporting Open Science and Open Access in disciplinary research. The project has a special interest in understanding the role that critical infrastructure has in supporting open initiatives. The Open Journal System (OJS) serves as a long-standing fundamental piece for Open Access throughout the globe. Hence, it provides valuable information about experiences developing, deploying, and maintaining open technologies. </p> <h3><strong>Methods<br></strong></h3> <div> <div>We used mixed methods for our research, triangulating repository data, installation data, interviews, and documentary analysis. We collected repository data using a report generator (Kopp [2018] 2024) that uses repository metadata to present general statistics about a Git project. The resulting information was manually curated, disambiguated, and annotated to have a homogeneous set of developers with information about their institutional affiliation and country. </div> <div> </div> <div>Names are normalized based on the information in qualitative interviews and by browsing the full-extent commits in the GitHub repository. Other sources for this were the institutional materials (available in current and archived versions of the PKP website), meeting minutes, the user forum, and further project documentation available online. GitHub handles are homologated to their most comprehensive version. For institutional and country affiliation, we resorted to GitHub profiles, PKP documentation and forums, institutional domains available in emails, and researchers' ORCID IDs. </div> </div> <h3><strong>Available files</strong></h3> <ol> <li><strong>Information about the codebase</strong> (number of files, lines of code, and timestamp) organized by <strong>month, quarter, and semester. </strong><br>See file: OJS_GitStats_04-24.csv</li> <li>Information about the historical evolution of the codebase (number of files, lines of code, and timestamp), including <strong>a description of the top committers for each month</strong>. Commiters are described by including their institutional affiliation and country of origin. <br>See file: OJS_DevStats_Institution-Country_1.tsv</li> <li>Information about the <strong>historical evolution of the codebase </strong>focusing on <strong>top committers</strong>, along with their institution and country. This file is formatted to map the co-occurrence of developers and attributes by month between 2004-2024.<br>See file: OJS_DevStats_Institution-Country_2.tsv</li> <li>Selected fields to describe<strong> working and regularly maintained plugins for OJS as of October 2024.</strong> Includes name of the plugin, homepage, description, maintainer, and institutional affiliation. <br>See file: OJS_Plugins_2024_Processed.tsv</li> <li>Details of the aggregated <strong>information</strong> included in <strong>Table</strong> <strong>5</strong> of the article.<br>See file: OJS_Plugins_2024_Table5.tsv</li> <li><strong>Snapshot</strong> to XML information of the <strong>plugin gallery of OJS </strong>(October 21) retrieved from PKP website (Smecher 2024)<br>See file: OJS_Plugins_2024.csv</li> </ol> <h3>Funding</h3> <p><span>The SEEKCommons Project is funded by the U.S. National Science Foundation (NSF), grant #2226425</span></p>
Recordings Q&A and matchmaking sessions for call for proposals 'Open Science Infrastructure'
<p>On Thursday, July 11, and Tuesday, July 16, 2024, Open Science NL organised two online Q&A sessions combined with a matchmaking opportunity for the Open Science NL call 'Open Science Infrastructure'.</p> <p>These are the two recordings of the two Q&A sessions. The Open Science NL team has drafted a Frequently Asked Questions document addressing all the questions that came up during the meetings. This is added as a seperate text-file (PDF). The slides presented during both meetings are shared as well as a PDF.</p> <p>For more information about the call and how to apply, please go to: <a href="https://www.openscience.nl/en/calls/open-science-infrastructure" target="_blank" rel="noopener">https://www.openscience.nl/en/calls/open-science-infrastructure</a></p>
Supporting Material for article "The ELIXIR Core Data Resources: fundamental infrastructure for the life sciences"
<p>This data set is the Supporting Material referred to in the Supplementary Data for the article "The ELIXIR Core Data Resources: fundamental infrastructure for the life sciences" (Drysdale, et al.) submitted for publication in April 2019.</p> <p> </p>
Distributed Science Infrastructure Projects
<p>This data set lists 43 projects and additional information in the field of distributed<br> science infrastructure. A basic list of project names and URLs was initially collected at the <em>Scientific Publishing on the Blockchain</em> unconference in 2018 in the hackpad on <a href="https://hackmd.io/QTaG8S3LQAeBfnCT-EFFfQ">https://hackmd.io/QTaG8S3LQAeBfnCT-EFFfQ</a> . We visited the websites during September and October 2019 and manually extracted links to source code, whitepapers and prototypes. Additionally, we added information like project descriptions, license information and social media accounts. Two more projects related to distributed computation were added in February 2020, during the review process of a data report on this data set.</p> <p>The classification of the projects is based on manual labelling by us. "active in 2019" refers to any obvious non-automatic activity on the website, in a source code repository or social media accounts. Due to the manual information extraction, we expect mistakes or missing data in all fields. This data collection should be seen as preliminary and will likely be replaced by a community driven effort in the future (watch this space for a future reference).</p> <p>Encoding: UTF8<br> <a>ipfs:QmRprZUfc7C8AnyvydrTr9WR4RRCRBQacM22XGSLwugGWh</a> </p>
Mind Map of The European Bioinformatic infrastructure for the Life Sciences (ELIXIR) activities
<p>This diagram showcases the organisation of the different components of the ELIXIR network, with brief description of the activities therein.</p>
Investing in Open Science infrastructure and repositories, shared repositories and Idea Challenge 2020-2021
<p>Recording of the OR2020 virtual session that includes:</p> <ul> <li>Investing in Open Science infrastructure and repositories: How IOI and SCOSS can help<strong> </strong>– Vanessa Proudman, SPARC Europe</li> <li>Shared repositories: building a multi-tenancy repository service at the British Library – Sara Gould, the British Library</li> <li>A year long Idea Challenge: the new beginning. Kicking-off Idea Challenge 2020-2021, for more information, please visit the <a href="https://or2020.sun.ac.za/a-year-long-idea-challenge/">Idea Challenge page</a>.</li> </ul>
Dataset: Scoping the Open Science Infrastructure Landscape in Europe
<p>"We see a diverse, interconnected, open, professional and viable, developing OS ecosystem in Europe on solid ground; one that is worth investing in. At the same time, this developing ecosystem faces a range of issues that challenge its path to a more open and sustainable future." This is a core conclusion of a new SPARC Europe report; the work is a result of a recent in-depth survey of infrastructure and/or services that are part of the European Open Science infrastructure (OSI) landscape. This dataset supports that work. </p> <p>The dataset is licensed CC0.</p>
[DATA_SCIENCE] Interviews: The Medical and Environmental Data Mash-up Infrastructure (MEDMI)
<p>This is a set of interview transcripts executed by Niccolò Tempini between March and October 2016, as part of the ERC project "The Epistemology of Data-Intensive Science", and in the context of a case study of MEDMI. Please read the "Notes on transcript editing" document for further information.</p> <p>Three papers or chapters that specifically make use of these interviews have been published as of 2020:</p> <ul> <li>Tempini, N., Leonelli, S., 2018. Concealment and discovery: The role of information security in biomedical data re-use. Soc Stud Sci 48, 663–690. <a href="https://doi.org/10.1177/0306312718804875">https://doi.org/10.1177/0306312718804875</a></li> <li>Leonelli, S., Tempini, N., 2018. Where health and environment meet: the use of invariant parameters in big data analysis. Synthese 1–20. <a href="https://doi.org/10.1007/s11229-018-1844-2">https://doi.org/10.1007/s11229-018-1844-2</a></li> <li>Tempini, N. 2020. The Reuse of Digital Computer Data: Transformation, Recombination and Generation of <em>Data Mixes</em> in Big Data Science. In: Leonelli S., Tempini N. (eds) Data Journeys in the Sciences. Springer, Cham. <a href="https://doi.org/10.1007/978-3-030-37177-7_13">https://doi.org/10.1007/978-3-030-37177-7_13</a></li> </ul> <p>The transcripts document MEDMI researchers' experience of infrastructure development and data curation and re-use practices. Researchers have consented to have these transcripts made available as Open Data. Other interviewees did not give consent, so those transcripts are held securely by the research team in Exeter.<br> You also find the information sheet provided to interviewees, which gives you the context for this project. Further information and related publications can be found at www.datastudies.eu.</p>
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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.