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191 results for “Open Research”
A dataset of media releases (Twitter, News and Comments, Youtube, Facebook) form Poland related to COVID-19 for open research
<p>Social behavior has a fundamental impact on the dynamics of infectious diseases (such as COVID-19), challenging public health mitigation strategies and possibly the political consensus. The widespread use of the traditional and social media on the Internet provides us with an invaluable source of information on societal dynamics during pandemics. With this dataset, we aim to understand mechanisms of COVID-19 epidemic-related social behavior in Poland deploying methods of computational social science and digital epidemiology. We have collected and analyzed COVID-19 perception on the Polish language Internet during 15.01-31.07(06.08) and labeled data quantitatively (Twitter, Youtube, Articles) and qualitatively (Facebook, Articles and Comments of Article) in the Internet by infomediological approach.</p> <p>- manually labelled1,449 articles / Facebook posts from Lower Silesia (facebook_articles_lower_silesia.zip) and 111 texts from outside this region;</p> <p>-manually labelled 1000 most popular tweets (twits_annotated.xlsx) with cathegories is_fake (categorical and numeric) topic and sentiment; </p> <p>-extracted 57,306 representative articles (articles_till_06_08.zip) in Polish using Eventregitry.org tool in language Polish and topic "Coronavirus" in article body;</p> <p>- extracted 1,015,199 (tweets_till_31_07_users.zip and tweets_till_31_07_text.zip) and Tweets from #Koronawirus in language Polish using Twitter API.</p> <p>- collected 1,574 videos (youtube_comments_till_31_07.zip and youtube_movie.csv) with keyword: Koronawirus on YouTube and 247,575 comments on them using Google API;</p> <p>- We supplemented the media observations with an analysis of 244 social empirical studies till 25.05 on COVID-19 in Poland (empirical_social_studies.csv).</p> <p>Reports and analyzes and coding books can be found in Polish at: <a href="http://www.infodemia-koronawirusa.pl/percepcja-koronowirusa-na-dolnym-slasku/">http://www.infodemia-koronawirusa.pl</a></p> <p>Main report (in Polish) https://depot.ceon.pl/handle/123456789/19215 </p>
Data from: Exploratory and confirmatory research in the open science era
<p>1. Applied ecological research is increasingly inspired by the Open Science movement. However, new challenges about how we define our science when biodiversity data is being shared and re-used are not solved. Among these challenges is the risk associated with blurring the distinction between research that mainly seeks to explore patterns with no a-priori articulated hypotheses (exploratory research), and research that explicitly tests a-priori formulated hypotheses (confirmatory research).</p> <p>2. A rapid screening of a random selection of peer-reviewed articles suggests that neither experimental protocols nor hypothesis-testing sensu stricto are common in applied ecological research. In addition, most experiments are carried out on small spatial scales, which contrast with current global policy needs and research trends towards addressing large spatial and temporal scales. This latter trend make it unfeasible for policy to rely mainly on insights gained from experimental research.</p> <p>3. To solve fundamental local, regional and global societal challenges, we need both exploratory and confirmatory research, and the fundamental (but different) role that hypothesis-testing and prediction play in applied ecological research should be revaluated.</p> <p>4. A clearer distinction between exploratory and confirmatory research could be facilitated by allocating journal sections to different types of research; embracing new tools offered by the open science era, such as pre-registration of hypothesis; establishing new systems where post-hoc hypotheses emerging through exploration can also be registered for later testing; and more broad adoption of causal inference methods that foster more structured testing of hypotheses about causal mechanisms from observational biodiversity data.</p> <p>5. Synthesis and applications. To gain the full benefits from the open science era, researchers, funding bodies and journal editors should explicitly consider incentives that encourage openness about methods and approaches, as well as value the full plurality of scientific approaches needed to address questions in conservation science.</p>
Journal Selection Factors and Opinions about Open Access of Austrian Researchers in the Humanities and Social Sciences
<p>Data from the Study of Open Access Publishing Data (SOAP, http://bit.ly/ejuvKO) has been selected to explain why the uptake of Open Access publishing in the humanities and social sciences in Austria is reluctant compared to other fields. Two questions from the survey seemed to be especially relevant in this context: factors to choose a journal for publishing and general opinions about Open Access.</p>
Figure 2. from: Unicorn–Open science for assessing environmental state, human health and regional economy - Research Ideas and Outcomes 2: e9232 (16 May 2016) https://doi.org/10.3897/rio.2.e9232
Figure 2. - Time line of the tasks in UNICORN-project
Figure 1. from: Unicorn–Open science for assessing environmental state, human health and regional economy - Research Ideas and Outcomes 2: e9232 (16 May 2016) https://doi.org/10.3897/rio.2.e9232
Figure 1. - Links and interactions between the work packages
Illustrations of the Game "Open Up Your Research"
<p>These illustrations were used to create the OS Game "Open Up Your Research" available from the University of Zurich:</p> <p>The Game has been developed by the Main Library, the Center for Reproducible Science and the Open Science Office in collaboration with the Multimedia & E-Learning-Services (MELS) at UZH.</p>
Open data for spatial public health research
<p><strong>Background</strong></p> <p>Preventive and health-promoting policies can guide (place and space-specific) factors influencing human health, such as the physical and social environment. Required is data that can lead to a more nuanced decision-making process and identify both, existing and future challenges. Along with the rise of new technologies, and thus the multiple opportunities to use and process data, new options have emerged to measure and monitor factors that affect health. Thus, in recent years, several gateways for open data (including governmental and geospatial data) became available. At present, an increasing number of research institutions as well as (state and private) companies and citizens' initiatives provide data. However, there is a lack of overviews covering the range of such offerings regarding health. In particular, for geographically differentiated analyses, there are challenges related to data availability at different spatial levels and the growing number of data providers.</p> <p><strong>Objectives</strong></p> <p>To provide an overview of open data resources available in the context of space and health to date. It also describes the technical and legal conditions for using open data</p> <p><strong>Results</strong></p> <p>An up-to-date summary of results including information on relevant data access and terms of use is provided along with a web visualization. All data is available for further use under an open license.</p>
The LOTUS Initiative for Open Natural Products Research: custom dictionaries
<p>Custom dictionaries created in the frame of the LOTUS Initiative: <a href="https://doi.org/10.1101/2021.02.28.433265">https://doi.org/10.1101/2021.02.28.433265</a></p>
Dataset: The availability and completeness of open funder metadata - Case study for publications funded by the Dutch Research Council
<p>Data and code belonging to the manuscript: <strong>The availability and completeness of open funder metadata - Case study for publications funded by the Dutch Research Council </strong></p> <p><strong>Abstract:</strong><br> Research funders spend considerable efforts collecting information on outcomes of the research they fund. To help funders track publication output associated with their funding, Crossref initiated FundRef in 2013, enabling publishers to register funding information using persistent identifiers. However, it is hard to assess the coverage of funder metadata because it is unknown how many articles are the result of funded research and therefore should include funder metadata. </p> <p>In this paper we looked at 5,004 publications reported by researchers to be the result of funding by a specific funding agency: the Dutch Research Council NWO. Only 67% of these articles contain funding information in Crossref, with a subset acknowledging NWO as funder name and/or Funder IDs linked to NWO (53% and 45%, respectively). </p> <p>Web of Science (WoS), Scopus and Dimensions are all able to infer additional funding information from funding statements in the full text of the articles. Funding information in Lens largely corresponds to that in Crossref, with some additional funding information likely taken from PubMed. </p> <p>We observe interesting differences between publishers in the coverage and completeness of funding metadata in Crossref compared to proprietary databases, highlighting potential to increase the quality of open metadata on funding. </p> <p><strong>This dataset contains the following files:</strong></p> <ul> <li><strong>DOIs_unique_CR_Lens_Wos_Scopus_Dim.csv</strong><em> - </em>Dataset of unique DOIs (n= 5,004) with collected information from Crossref and presence/absence of funder information in Lens, Web of Science, Scopus and Dimensions </li> <li><strong>NWO_funder_names_Crossref.txt</strong><em> </em>- List of funder name variants for NWO found in Crossref</li> <li><strong>Google_Apps_Script.js</strong> - Google Apps Script for retrieving information from Crossref and processing Dimensions results </li> <li><strong>DOI_cleaning.R</strong><em> - </em>R script for cleaning DOIs</li> </ul>
Funding Covid-19 research: Insights from an exploratory analysis using open data infrastructures - Supplementary material
<p>This dataset contains supplementary material for the paper 'Funding Covid-19 research: Insights from an exploratory analysis using open data infrastructures' by Alexis-Michel Mugabushaka, Nees Jan van Eck, and Ludo Waltman.</p> <ul> <li>supplementary_material_1_dataset.ods: Dataset of Covid-19 publications.</li> <li>supplementary_material_2_sample.ods: Samples of publications used to assess the accuracy of funding data in the different databases.</li> <li>supplementary_material_3_tables_and_figures.ods: Statistics underlying the tables and figures presented in the paper.</li> </ul>
Data for manuscript sumitted to Open Research Europe, entitled "Low-resistivity, high-resolution W-C electrical contacts fabricated by direct-write focused electron beam induced deposition"
<p>These are the data obtained experimentally and used to draw the figures in the article submitted to Open Research Europe</p>
Open Access Publication of Public Health Research in African Journals: Dataset
<p>This study explored the open publishing practices of African journals expected to publish articles on Public Health.</p>
Dataset for IDRC Project: Exploring the opportunities and challenges of implementing open research strategies within development institutions. International Development Research Center.
<p>Data Package: Exploring the opportunities and challenges of implementing open research strategies within development institutions</p> <p>DOI for this package: https://doi.org/10.5281/zenodo.844394<br> Project Description: https://doi.org/10.3897/rio.2.e8880<br> Data Management Plan: https://doi.org/10.3897/rio.3.e14672<br> Other Related Documents and Reports: https://riojournal.com/collection/18/<br> Funder: International Development Research Centre/Centre de rechereches pour le développement international, https://doi.org/10.13039/501100000193</p> <p><br> Abstract<br> ========</p> <p>This is the Data Package for the project "Exploring the opportunities and challenges of implementing open research strategies within development institutions" the proposal for which was published as https://doi.org/10.3897/rio.2.e8880. The research project conducted open data pilot case studies with seven IDRC grantees to develop and implement open data management and sharing plans. The results of the case studies served to refine guidelines for the implementation of development research funders’ open research data policies.</p> <p>Contents<br> ========</p> <p>The Data Package contains all the public data generated by the project. The package was curated and metadata generated, including an HTML Catalog using the Calcyte Tool (https://codeine.research.uts.edu.au/eresearch/calcyte) developed at University of Technology Sydney.</p> <p>The project had two major phases:</p> <p>1. A review, based on desk work and interviews with data management experts<br> 2. Case studies, based on implementing open data practices within seven IDRC funded research projects</p> <p>Review<br> ------</p> <p>The review, published at https://riojournal.com/article/14673/ was supported by desk work and interviews. The materials related to the interviews can be found in the directory:</p> <p>* Policy and Implementation Review Interviews</p> <p>Case Studies<br> ------------</p> <p>Seven IDRC-funded projects were contributed to the pilot project.</p> <p>The materials generated by the case studies and used to support the final report (to be published with the collection at https://riojournal.com/collection/18/) are found in the following directories.</p> <p>* Introductory_Data_Workshop_Materials<br> * Introductory_Workshop_Presentations<br> * Data Management Planning<br> * SciDataCon Presentations<br> * Final_Project_Workshop_Materials<br> * Final_Project_Workshop_Presentations</p> <p>The files are encoded with a three letter code that identifies the relevant contributing project in each case. The contributing projects were:</p> <p>* Crowd Sourcing Data to fight Social Crimes: Harassmap, Egypt (HMP)<br> * The Brazilian Virtual Herbarium: CRIA, Brazil(BVH)<br> * Strengthening the Economic Committee of the National Assembly in Vietnam: Centre for Analysis and Forecasting, Vietnam (ECV)<br> * The Impact of Copyright User Rights: Derechos Digitales, Columbia (DED)<br> * Establishing a clearinghouse for tobacco economic data in Africa: DataFirst, South Africa (TED)<br> * Les problèmes négligés des systèmes de santé en Afrique : une incitation aux réformes: LASDEL, Niger (NDF)<br> * Indigenous Knowledge in Climate Change: Natural Justice, South Africa (IKC)</p> <p>More details will be found in the Case Studies and in the Final Report (forthcoming at https://riojournal.com/collection/18/)</p> <p>References<br> ==========</p> <p>* Neylon C, Chan L (2016) Exploring the opportunities and challenges of implementing open research strategies within development institutions. Research Ideas and Outcomes 2: e8880. https://doi.org/10.3897/rio.2.e8880<br> * Neylon C (2017) Data Management Plan: IDRC Data Sharing Pilot Project. Research Ideas and Outcomes 3: e14672. https://doi.org/10.3897/rio.3.e14672<br> * Neylon C, Chan L (2016-17) Exploring the opportunities and challenges of implementing open research strategies within development institutions: A project of the International Development Research Center, Research Ideas and Outcomes Collection, https://riojournal.com/collection/18/</p> <p> </p>
Data underlying research paper: Exploring Governance Modes in Open Data Initiatives: Insights from France and Ireland
<p><span><span>The folder </span><span>contains</span> <span>the interview questions</span> <span>of</span><span> the research paper “</span></span><span><span>Exploring Governance Modes in Open Data Initiatives: I</span></span><span><span>nsights</span><span> from France and Ireland</span></span><span><span>” and consists of the interview questions. </span></span><span> </span></p> <div> <p><strong><span><span>Note about the interview </span><span>and the interview </span><span>questions:</span></span><span> </span></strong></p> </div> <div> <p><span><span>The </span><span>semi-structured </span><span>interviews were conducted with </span><span>(three) </span><span>experts selected through purposive</span> <span>sampling combined with snowballing approach to gain knowledge from</span> <span>key people who actively worked in the coordination bodies in France and Ireland. In</span> <span>the case of France, the first interviewee was reached following the reading of a blogpost</span> <span>on the governance of open data during the Covid-19 crisis. The first interviewee</span> <span>allowed the identification of a second expert who could complement his knowledge on</span> <span>the governance of the open data in France. In the case of Ireland, the expert was</span> <span>identified through the reading of an academic article that explained in great details the</span> <span>unfolding of the events that led to the Covid-19 open data strategy in Ireland. All</span> <span>the interviewees were approached through email exchange. Interviews took place in</span> <span>August 2022 online through the Microsoft Teams and Webinaire de l’État platforms,</span> <span>each lasting approximately forty-five minutes.</span></span><span> </span></p> <p><strong><span>Acknowledgment:</span></strong></p> </div> <p><span>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. The opinions expressed in this document reflect only the author’s view and in no way reflect the European Commission’s opinions. The European Commission is not responsible for any use that may be made of the information it contains.</span></p>
Gates Open Research - publication data
<p>Gates Open Research (https://gatesopenresearch.org/) publication metadata and events data, as of 1 March 2018.</p>
Is there a social life in Open Data? Open datasets exploring practices in Educational Technology Research
<p>In the landscape of Open Science, Open Data [OD] plays a crucial role as data are one of the most basic components of research despite their diverse formats across scientific disciplines. Opening up data is a recent concern for policy makers and researchers as the basis for good open science practices. The common factor underlying these new practices – the relevance of promoting open data circulation and reuse – is mostly a social form of knowledge sharing and construction. However, while data sharing is being strongly promoted by policy making and is becoming a frequent practice in some disciplinary fields, open data sharing is much less developed in social sciences and in educational research.</p> <p>The Open Data hereby introduced is composed of two integrated datasets which collect data relating practices of Open Data publication and sharing in the field of Educational Thecnologies. This data was collected to suport the aim of investigating open data sharing in a selection of open data repositories as well as in the academic social network site ResearchGate.</p> <p>The research questions addressing this study are:</p> <ol> <li>Do researchers in the field of Educational Technology publish Open Datasets [ODs]?</li> <li>To which extent are ODs compliant with the FAIR data principles?</li> <li>What is the social life relating to the ODs in terms of the metrics provided by the OD portals? As a subsidiary question: 3.a- To what extent do open data portals allow researchers to cultivate social practices around OD?</li> </ol> <p> </p> <p>In order to investigate OD presence in ResearchGate, the following research aim guided the second part of the study: Analysis of the presence of the same selected OD in ResearchGate and of the type of social activity OD exhibited by OD according to ResearchGate mètrics.</p> <p>The Open Data here presented is composed by two datasets.</p> <ol> <li>23 datasets extracted out from 82 randomly selected datasets, from an inital total of 633. The data set presents a Codebook explaining the several categories of analysis or variables and the values assigned to the same. Since the analysis was performed in two phases (first selection and screening, second selection and classification) the codebook is divided in two tables. Moreover, the data set contains 6 Worksheets, ordered taking the workflow as reference: Codebook, Dataset_Extraction, Analysis_Workflow, Selected_Analysis. This dataset has been produced and curated by J.E.Raffaghelli</li> <li>The analysis of correspondance for the 23 datasets in ResearchGate. The data set presents a Codebook, and is divided into two worksheets: Codebook, ODT&RG. The last worksheet introduces the comparison between the social mètrics within RG of the found datasets and the relating papers. This dataset has been produced and curated by S. Manca and J.E. Raffaghelli.</li> </ol>
Board game "Super-Open Researcher" (english version)
<p>This serious borad-game was created within the SCD of the University of French Guiana by Marie Latour and Caroline Boiteux to ensure the understanding of the main principles of Open Access, and to start the debate on the challenges raised.</p> <p>A first version was first presented at the Bobcatsss symposium 2016, which was held at the ENSSIB, in Lyon, under the name “Super Open Librarian”. It was presented by Myriam Gorsse (SCD at the Pierre and Marie Curie University, Paris) and Guillemette Trognot (the “Marie Curie” Library of INSA, Lyon).</p> <p>A second version was then presented during the Open Access Week 2016, which was held in Cayenne, with the financial support of COUPERIN. For this event, a graphic designer, Jordy le Bruchec (Signarama, Cayenne, French Guiana), was hired to create the visuals. Two presentation sessions were organized in Cayenne for PhD students at the “Diversities, health and development in Amazonia” postgraduate school (University of French Guiana). This game was then included as part of the doctoral training offered each year by the SCD of the University of French Guiana and its PhD students. Other schools and universities then adopted it and tailored it for their events and own training courses: INSA - Lyon, Lilliad - Lille, Claude Bernard University (Lyon 1), etc. This French version is avaible at this address : <a href="https://zenodo.org/record/1409702#.XQ0RcutKjRY">https://zenodo.org/record/1409702#.XQ0RcutKjRY</a>.</p> <p>In 2019, this game was translated into English to be presented at the LIBER European Libraries congress. The professional traductor selected was Y.A.N.A Traduction (Cayenne, French Guiana).</p> <p>The library of the University of French Guiana gives the opportunity to download the entire game to be able to use it freely and at no cost in your establishments. It is placed under the Creative Commons BY NC SA license, which allows its free re-use provided that the authors are cited and there is no commercial use. It is possible to modify the game: however, all modifications must be exclusively shared under the same license under which the initial game was placed. We would like to remind you that the removal of the logos of the University of French Guiana from the cards and game boards is strictly prohibited.</p> <p>Contact : marie.latour@unc.nc</p>
Open Datasets for the Manuscript Submitted to Geophysical Research Letters
<ol> <li>Hourly land surface temperature data derived from GOES-R</li> <li>Hourly land surface temperature data derived from Himawari-8</li> <li>MODIS land surface temperature</li> <li>Urban-rural delineation</li> <li>Annual temperature cycle modeling results</li> </ol>
Open dataset for the research of "Assessing accuracy improvement of integrating digital footprints into gridded population mapping: spatiotemporal variations and data bias"
<p>Result datasets for "Assessing accuracy improvement of integrating digital footprints into gridded populationmapping:spatiotemporal variations and data bias":</p> <ol> <li> S1 is the results for gridded population mapping using different methods.</li> <li> S2 is the aggregate results of population mapping at county level.</li> <li> S3 is the results for intraday variation of population disaggregation accuracy,</li> <li> S4 is the data bias of different digital footprints.</li> </ol>
Data Matrix Theme-Specific Analysis of the Recommendation on Science and Scientific Researchers (RSSR): Open Access, Open Data, and Open Science
<p>This Table sets out findings from the mapping exercise conducted as part of the objectives of subtask 6.1 of the RRING project.</p> <p>Aim: Alignment of RRI to advance the UN SDGs.</p> <p>Objectives:</p> <ul> <li>Mapping the RSSR to the SDGs </li> </ul> <p>Mapping the RSSR to the SDGs is aimed at providing new perspectives, ideas and approaches that can help to improve the operationalization and implementation of each SDG, <em>by facilitating the integration of RRI (or RRI-like) practices in the SDGs, to make them more achievable.</em> The impact of the new perspectives, ideas and approaches in SDG operationalization and implementation will be aimed at the level of <em>national and international policy (making); future research and innovation projects (in industry and academia); as well as education and training of researchers, policy makers and other stakeholders.</em></p> <p>Two documents were used for this task:</p> <ul> <li>2017 Recommendation on Science and Scientific Researchers ([RSSR], UNESCO), and</li> <li>the United Nations 2030 Agenda for Sustainable Development with the 17 Sustainable Development Goals (SDGs).</li> </ul>
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.