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6,025 results for “Science of science”
The Corona Connection: How LabHive and Open Science is Helping Scientists Solve COVID-19
<p><strong>Episode Summary: </strong></p> <p>The Coronavirus pandemic has led to many new initiatives to help scientists share resources and data. We talked to, Tobias Opialla and Lisa Rieble who have created a new platform called LabHive. We discussed what LabHive is and how it got started, as well as how Open Science principles and practices relate to the new normal and how communication is key. </p> <p><strong>Episode Links: </strong></p> <p><a href="https://labhive.de/#/">LabHive</a></p> <p><a href="https://wirvsvirus.org/">WirVsVirus</a></p> <p><a href="https://berlin.impacthub.net/">Impact Hub Berlin</a></p> <p><strong>Bonus links regarding Drosten, the Teachers and Kindergarteners and the BILD:</strong></p> <p>Original tweet from Drosten:<br> <a href="https://twitter.com/c_drosten/status/1264934434756755456">https://twitter.com/c_drosten/status/1264934434756755456</a> </p> <p>Replies from improperly quoted reviewers:<br> <a href="https://twitter.com/jdoeschner/status/1264948078790029313">https://twitter.com/jdoeschner/status/1264948078790029313</a> <br> <a href="https://twitter.com/domliebl/status/1264935266185293826">https://twitter.com/domliebl/status/1264935266185293826</a> <br> <a href="https://twitter.com/polenz_r/status/1264946109719379970">https://twitter.com/polenz_r/status/1264946109719379970</a> <br> <a href="https://twitter.com/christoph_rothe/status/1265344225979314177">https://twitter.com/christoph_rothe/status/1265344225979314177</a> <br> <a href="https://twitter.com/christoph_rothe/status/1264930677306413058">https://twitter.com/christoph_rothe/status/1264930677306413058</a> </p> <p>The xkcd regarding preprints:<br> <a href="https://xkcd.com/2304/">https://xkcd.com/2304/</a> </p> <p>Regarding renewed interest in Testing:<br> Drosten wanting to test schools and Kindergartens<br> <a href="https://www.ndr.de/nachrichten/info/39-Welche-Chancen-neue-Tests-bieten,podcastcoronavirus206.html">https://www.ndr.de/nachrichten/info/39-Welche-Chancen-neue-Tests-bieten,podcastcoronavirus206.html</a> </p> <p>Press Release from Berlin Senate regarding test strategy:<br> <a href="https://www.berlin.de/rbmskzl/aktuelles/pressemitteilungen/2020/pressemitteilung.935676.php">https://www.berlin.de/rbmskzl/aktuelles/pressemitteilungen/2020/pressemitteilung.935676.p</a>df </p>
Sprint for your eLife! How the eLife Innovation Sprint Helps Drive Forward Open Science Projects
<p><strong>Episode Summary</strong></p> <p>In this episode we cover the eLife Innovation Sprint 2020, that was held online on September 2nd and 3rd, 2020. The sprint facilitates collaboration between people who are working on tools, services, and other projects that enhance open science and research.</p> <p>We talk to the organiser Dr Emmy Tsang, who at the time was the Innovation Community Manager for eLife but is now the Community Engagement Manager for TU Delft. As well as participants from two of the projects that took part: Dr Cássio Amorim, creator of SciGen.Report, 'a platform to easily share and view any information that researchers may have on the reproducibility of papers'. And Esha Datta and Daniel Nüst, who who both joined the sprint to work on the Expanding Open Grants project, developed by Dr Hao Ye, which increases accessibility to examples of grants and proposals. </p> <p><strong>Episode Links: </strong></p> <p><a href="https://sprint.elifesciences.org/">eLife Sprint</a></p> <ul> <li>Emmy Tsang: @emmy_ft </li> <li>@eLifeInnovation</li> </ul> <p><a href="https://scigen.report/">SciGen.Report</a></p> <ul> <li>@ScigenReport </li> </ul> <p><a href="https://www.ogrants.org/">Expanding Open Grants</a></p> <ul> <li>@nordholmen</li> <li>The new GH org for the sprint with latest developments:<br> <a href="https://github.com/expanding-open-grants/">https://github.com/expanding-open-grants/</a></li> <li>The wrap up slides are at:<br> <a href="https://docs.google.com/presentation/d/1PlW7Iq5xOKu1kbo_CLvnYXBJ3ldPdd4ulggZJl4F2-Y/edit#slide=id.g96e132450a_0_112">https://docs.google.com/presentation/d/1PlW7Iq5xOKu1kbo_CLvnYXBJ3ldPdd4ulggZJl4F2-Y/edit#slide=id.g96e132450a_0_112</a> </li> </ul>
The COVID Transmission: How Scientists and Science Journalists Are Communicating During the Pandemic
<p>In this episode we talk to Wiebke Hollersen, a science journalist and editor from the German newspaper <em>Welt, </em>and Dr Emanuel Wyler, a molecular biologist at the Max Delbrück Center for Molecular Medicine, about their approaches, collaborations, and concerns about communicating about the Coronavirus and science communication in general. </p> <p> </p> <p><strong>Episode Links: </strong></p> <p><a href="https://www.mdc-berlin.de/person/dr-emanuel-wyler">Emanuel Wyler</a></p> <ul> <li><a href="https://twitter.com/ewyler">Twitter</a></li> <li><a href="https://emanuelwyler.wordpress.com/">Blog (German Language)</a></li> </ul> <p><a href="https://www.welt.de/autor/wiebke-hollersen/">Wiebke Hollersen</a></p> <ul> <li><a href="https://twitter.com/wiebkehollersen">Twitter</a></li> </ul>
Unblocking Breakthroughs: How DEIP Are Using Blockchain and Open Science to Provide Innovation Evaluation
<p><strong>Episode Summary:</strong></p> <p>In this episode we talk to Alex Shkor about his company DEIP which is a peer review platform and blockchain protocol for the evaluation of intellectual capital, research, and innovation. We discussed why Alex created this platform, what the potential for digital research and big data is, and how Open Science can accelerate research. </p> <p><strong>Episode Links: </strong></p> <p><a href="https://deip.world/">DEIP</a></p>
Know Your Research Rights: The Legal Perspective on Copyright and Open Science
<p><strong>Episode Summary:</strong></p> <p>In this episode we talk to two copyright lawyers, Malcolm Bain and Lucrezia Berto, about what the legal framework of research creation and sharing is. Who owns your research? What needs to be considered before you make it open? </p> <p><strong>Episode Links:</strong></p> <p><a href="https://acrosslegal.com/en/">Across Legal</a></p> <p><a href="https://www.linkedin.com/in/malcolm-bain-9216415/?originalSubdomain=es">Malcolm Bain</a></p> <p><a href="https://www.linkedin.com/in/lucrezia-berto/?originalSubdomain=es">Lucrezia Berto</a></p>
A Slice of the Research Cake: The Impact of Open Science in Africa
<p><strong>Episode Summary: </strong></p> <p>In this episode we talk to Joy Owango, Founding Director at Training Centre in Communication. We discussed how Open Science is democratising research and access to data and publishing in Africa, the importance of ownership in research, and the challenges inherent in widespread change. </p> <p>Originally we interviewed another two guests who are involved in the Open Science movement on the African continent: Osman Aldirdiri, founding director of Open Sudan initiative and Jo Havemann, co-founder of the AfricArXiv. Due to technical difficulties we can only publish the audio from Joy Owango. However, we do have a <a href="https://drive.google.com/file/d/1sOhAaiWjAUwQlDMuaqd5YCC3SOhXDFSP/view?usp=sharing">transcript of the full interview</a> with all three guests.</p> <p><strong>Episode Links:</strong></p> <ul> <li><a href="https://info.africarxiv.org/">AfricArXiv</a> <p><a href="https://twitter.com/AfricArxiv">Twitter</a></p> </li> <li>Joy Owango <ul> <li><a href="https://www.tcc-africa.org/">Training Centre in Communication</a></li> <li><a href="https://twitter.com/JoyOwango">Twitter</a></li> </ul> </li> <li>Osman Aldirdiri <ul> <li><a href="https://blog.okfn.org/2017/03/30/open-data-day-sudan-2017-openness-for-advancing-research-and-discovery/">Open Sudan's Open Data Day</a></li> <li><a href="https://twitter.com/aldirdiri">Twitter</a></li> </ul> </li> <li>Jo Havemann <ul> <li><a href="https://access2perspectives.com/team/jo-havemann/">Access2Perspectives </a></li> </ul> </li> </ul>
The Utopian Model: How The Neuro Has Become An Open Science Institution
<p><strong>Episode Summary:</strong></p> <p>In this episode we talk to Dylan Roskams-Edris from Open Science Alliance Officer at Tanenbaum Open Science Institute and The Neuro in Canada. We discussed how The Neuro made itself into the worlds first open neuroscience institution, the challenges and opportunities of embracing Open Science at an institutional level, how Open Science itself needs to be more open, and the potential for scientists working in such a system.</p> <p><strong>Episode Links: </strong></p> <p> <a href="https://www.linkedin.com/in/dylan-roskams-edris-26690598/?originalSubdomain=ca">Dylan Roskams-Edris</a></p> <p><a href="https://twitter.com/dylanwre?lang=en">Twitter</a></p> <ul> <li><a href="https://t.co/N3BFnpiVgv?amp=1">The Neuro</a> <ul> <li><a href="https://twitter.com/TheNeuro_MNI">Twitter</a></li> </ul> </li> </ul>
Datasets of Twitter mentions and publications in Information Science & Library Science and Microbiology
<p>Datasets used in the study 'Identifying and characterizing social media communities: a socio-semantic network approach to altmetrics'.</p> <p><strong>Microbiology publications (mic_publiccations.tsv).</strong> Dataset of 101,206 Microbiology publications with their author keywords.</p> <p><strong>Microbiology mentions (mic_mentions.tsv).</strong> Dataset of 328,110 Twitter mentions to Microbiology publications.</p> <p><strong>Information Science & Library Science publications (lis_publications.tsv).</strong> Dataset of 8452 Information Science & Library Science publications with their author keywords.</p> <p><strong>Information Science & Library Science mentions (lis_mentions.tsv).</strong> Dataset of 35,411 Twitter mentions to Information Science & Library Science publications.</p>
A call to eradicate non-inclusive terms from science
<p>Source code and data associated with a commentary (Khan, 2021; eLife) that shows an increase of non-inclusive terms with racial connotations used in life-science literature and calls for action to make science inclusive for all.</p>
Biological soil covers: data on lichen, bryophyte and algae coverage in soils gathered by SoilSkin citizen science program using eBryoSoil app for smartphones
<p>Biological soil covers (BSC) are small-sized topsoil communities composed mainly by lichens, bryophytes and algae that cover the terrestrial surface and play an essential role in maintaining the quality of the soil. However, little is known about their distribution, conservation, and ecosystem functions. The SoilSkin citizen science project aims to expand the scientific knowledge about the distribution of biological soil covers as an important step to evaluate the vulnerability of soil ecosystems of the Iberian Peninsula in the face of global change.</p> <p>The project has a dedicated free of charge app for smartphones (eBryoSoil, available at Google Play <a href="https://play.google.com/store/apps/details?id=com.omarfiz.ebryosoil&hl=ca&gl=US">https://play.google.com/store/apps/details?id=com.omarfiz.ebryosoil&hl=ca&gl=US</a>) that is designed to obtain information about the coverage of the BSC communities. To use this app, users must select a sampling location and capture the three soil pictures required to complete a transect. These photographs are taken at a 27 cm distance from the soil, in a straight line with 15 meters of distance between each picture. After the acquisition of each image, users can quantify the coverage percentage of biological soil covers and select the type of habitat where the transect took place. The transect is complete when all three pictures and their respective information are uploaded.</p> <p>The data presented here contains the records from SoilSkin participants, which mainly include a characterization of the cover patterns of biological soil covers, the type of habitat and the coordinates where each record was taken. The data set is composed by 279 unique records taken by 37 unique users from 28/11/2019 to 12/12/2020, across the Iberian Peninsula. These records specifically detail the percentage of cover occupied by three types of lichen growth forms (crustose, foliose and fruticose); liverworts; two types of moss growth forms (acrocarpous and pleurocarpous); algae; and soil. Moreover, each record also contains a description of the main type of habitat where the transect took place, that was selected from a list contained in the app with the following habitats:</p> <ul> <li>Dense forest - Habitat characterized by trees of more than 2 meters tall and canopy over 60%.</li> <li>Open forest – Habitat characterized by trees with more than 2 meters tall and a canopy below 60%.</li> <li>Shrubland – Habitat characterized by woody vegetation with less than 2 meters tall.</li> <li>Grassland – Habitat characterized by herbaceous plants.</li> <li>Agricultural land – Habitat characterized by temporary or woody crops.</li> <li>Coastal habitat – Habitat characterized by a landscape where land is in contact with the sea, creating a visibly different landscape from inner terrestrial one’s.</li> <li>Urban green spaces – Habitat characterized by a landscape in which man-made structures are present.</li> </ul> <p>The database was revised to correct any possible mistakes (e.g., miscalculation of total percentages; habitat missing in some registers; removal of invalid registers).</p> <p>The data file contains the following columns:</p> <ul> <li>Date: numerical variable indicating the “day”/”month”/”year” when the register was generated.</li> <li>User_ID: categorical variable with the identification number of the user who gathered the record.</li> <li>Transect: categorical variable with the identification of the number of the transect.</li> <li>Photo_number: numeric variable that takes values of 1, 2 or 3 and corresponds with the identification of the photographs within each transect.</li> <li>Photo_label: character string with the identification of the photograph from each record.</li> <li>Register_localization: categorical variable with the identification of the geographic area where the record was done.</li> <li>Latitude: integer, variable indicating the latitude of the sampling location in decimal degrees.</li> <li>Longitude: integer, variable indicating the longitude of the sampling location in decimal degrees.</li> <li>Accuracy: integer, variable indicating the accuracy of the coordinates given by the GPS.</li> <li>Habitat_type: categorical variable with the description of the main type of habitat of the sampling location.</li> <li>Lichen_Crustose: integer, variable indicating the percentage of crustose lichen cover quantified in the record.</li> <li>Lichen_Foliose: integer, variable indicating the percentage of foliose lichen cover quantified in the record.</li> <li>Lichen_Fruticose: integer, variable indicating the percentage of fruticose lichen cover quantified in the record.</li> <li>Total_lichen: integer, variable indicating the sum of all lichen coverage quantified in the record.</li> <li>Liverwort: integer, variable indicating the percentage of liverwort cover quantified in the record.</li> <li>Moss_Acrocarpous: integer, variable indicating the percentage of acrocarpous moss cover quantified in the record.</li> <li>Moss_Pleurocarpous: integer, variable indicating the percentage of pleurocarpous moss cover quantified in the record.</li> <li>Total_ moss: integer, variable indicating the sum of all moss coverage quantified in the record.</li> <li>Algae: integer, variable indicating the percentage of algae cover quantified in the record.</li> <li>Soil: integer, variable indicating the percentage of soil visible in the record.</li> </ul> <p> </p>
Dataset - research methodology annotation (Information Science)
<p>Datasets used for developing text mining methods for extracting research methods reported in Information Science journal articles. </p>
Reproducibility in science: calculated kinetic isotope effects for cyclopropyl carbonyl radical.
<p>Calculated kinetic isotope effects, without tunnelling corrections, for the ring opening of cyclopropylcarbinyl radical using a variety of different Hamiltonians and basis sets.</p>
Umfrage: Von Open Access zu Open Science - Wissenschaftliche Kommunikation im Rahmen der Digitalisierung
<p>Wie verändert die Digitalisierung, wie wir auf wissenschaftliche Daten und Informationen zugreifen? Das war Thema in der Befragung im Rahmen der Promotion mit dem Titel: "Von Open Access zu Open Science: Zum Wandel von wissenschaftlicher Kommunikation". Sie bestand aus fünf Fragegruppen und ist wie folgt gegliedert: In der ersten Hälfte wurden die Teilnehmer/innen zu den Rahmenbedingungen Ihrer wissenschaftlichen Tätigkeit und zu Aspekten aus der wissenschaftlichen Leserperspektive befragt. In der zweiten Hälfte wurden die Befragten als Autor_in wissenschaftlicher Arbeiten und Daten angesprochen. Abschließend wurden einige freiwillige personenbezogene Angaben erhoben (die nur begrenzt Teil dieser Veröffentlichung sind).</p> <p>Bei dem Datensatz handelt es sich um anonymisierte Rohdaten der Befragung von 1.112 Personen (komplett ausgefüllt) aus dem deutschsprachigen Raum vom 18.8.2014 bis 18.01.2015.</p> <p>Weitere Informationen, einen PDF-Export aller Fragen/Antworten und die einzelnen weiteren anonymisierten Datensets finden Sie unter <a href="http://offene-doktorarbeit.de">http://offene-doktorarbeit.de</a></p> <p><strong>Update:</strong> Der Datensatz steht nun auch als geprüfte Version im GESIS Datorium vom Leibniz-Institut für Sozialwissenschaften zur Verfügung. Verbundene DOI: http://dx.doi.org/10.7802/74</p>
Open Digital Science Study - Scenarios
<p>Narrative scenarios about envisaged future use of ODS exemplifying ODS semantics, implications, trends and thus providing the necessary level of concreteness for detailed discussions with experts and general public.</p> <p>ODS concept and vision refinement are pursued using scenarios of potential future ODS usage as a proxy. The scenarios assist in communicating the vision, explore future trends, discuss options for measuring ODS uptake and impact and generally stimulate the discussion with a broad community. </p> <p>The different aspectsof ODS are difficult to embrace in a single definition or description. We therefore propose to facilitate the ODS vision validation using future ODS scenarios as an intermediary conceptual step. These scenarios about the future of ODS help to communicate the ideas, discuss trends and their implications, understand issues and collect policy needs. Scenario-based exploratory techniques have proven useful for strategic forecasting of technical trends [Geschka & Hanenwald 13, Mieke 07, Lizaso et al. 04] and more recently for research and technology policy [Prem et al. 14, Prem 14]. </p> <p>Open online discussions (facilitated by study team members and supported by the imagery of future ODS scenarios) play a central element of the ODS methodology. </p> <p>The scenarios facilitate communication of different ODS vision aspects and the expert and open community assessment. </p>
Austrian Science Fund (FWF) Publication Cost Data 2015
<p>Following the approach for the datasets in 2013 (http://dx.doi.org/10.6084/m9.figshare.988754) and 2014 (https://dx.doi.org/10.6084/m9.figshare.1378610.v14), the Austrian Science Fund (FWF) is making the publication costs spent in 2015 (esp. for Open Access) publically available.</p> <p>The dataset includes payments for publications of authors funded by the Austrian Science Fund (FWF) via following programmes:</p> <p>"Peer-Reviewed Publications": https://www.fwf.ac.at/en/research-funding/fwf-programmes/peer-reviewed-publications/</p> <p>"Stand-Alone Publications": https://www.fwf.ac.at/en/research-funding/fwf-programmes/stand-alone-publications/</p>
Austrian Science Fund (FWF) Publication Cost Data 2013
<p>Following the Wellcome Trust, the Austrian Science Fund (FWF) makes its publication costs spent in 2013 (esp. for Open Access) publically available.</p> <p>An aggregated version of this dataset is already published in FWF's annual report 2013 (p. 86), http://www.fwf.ac.at/de/public_relations/publikationen/jahresberichte/fwf-jahresbericht-2013.pdf</p> <p>The dataset includes payments for journal articles of authors funded by the Austrian Science Fund (FWF) via the program ‘Peer Reviewed Publications’, http://www.fwf.ac.at/en/projects/peer-reviewed_publications.html</p> <p>The dataset distinguishes between three publication cost categories:</p> <p>(1) Gold Open Access and (2) Hybrid Open Access are defined by FWF's Open Access Policy, see: http://www.fwf.ac.at/en/public_relations/oai/index.html</p> <p>(3) ‘Other publication costs’ are defined as additional costs to subscription prices charged by subscription journals (i.e. submission fees, colour charges, page charges, figure charges, table charges, supplemental charges).</p> <p>Based on this data and the data of Web of Science (WoS), we roughly estimate for 2013 a share for Gold and Hybrid OA of around 33% of all articles (incl. reviews) that result from projects supported by the FWF and which are listed in Web of Science.</p> <p>The analysis of this dataset together with the report “Developing an Effective Market for Open Access Article Processing Charges” (http://www.wellcome.ac.uk/About-us/Policy/Spotlight-issues/Open-access/Guides/WTP054773.htm) will lead to an adaption of the FWF’s Open Access policy within the next months. One model, for example, for a cost-neutral Hybrid Open Access is already in place: http://ioppublishing.org/newsDetails/Austria-open-acces</p>
Interview with Barend Mons Open Science challenges
<p>Interview with Barend Mons Open Science challenges and the European Open Science Cloud, while attending the Dutch Presidency of the European Council meeting on Open Science, Amsterdam 5 April 2016.</p>
Research Software Engineers Supporting Science: Survey Responses
<p>Raw survey data for "Not everyone can use git: Research Software Engineers’ recommendations for scientist-centred software support (and what researchers think of them)", a talk given by Caroline Jay at RSE16, Manchester, UK.</p>
East-African Social Sciences and Humanities Journals active in 2008-2009
<p>Research Data of „East-African Social Sciences and Humanities Publishing: A Handmade Bibliometrics Approach“, Proceedings of the 21st International Conference on Science and Technology Indicators, València (Spain), September 14-16, 2016.</p> <p>Corrected second version: due to an error, the journal “Chemchemi” was not included in “1 final list merged” and “7 ceased-established”. However, this does not change the conclusions drawn in the paper.</p> <p>Abstract of the paper to be published in the proceedings: For Eastern Africa, very little information about the SSH knowledge production can be found from a European perspective. Adequate indicators like information-rich bibliographic databases that cover East-Africa-based journals and book publishers are lacking. This research in progress explores their indexing situation in detail, their development, which is closely connected to political history, their (non-)usage, and affiliations as well as career-stages of their authors. Furthermore, it also pays attention to East-Africa-based SSH researchers who use other publication venues. Any bibliometric analysis in this field needs to rely on manual data collection, otherwise it would be heavily biased. This study lays out the foundation for citation analyses, qualitative research on the publications' content and the self-description of East-African scholars against the background of an academic environment that is often described as “international”.</p>
Supplementary material 10: Institutional collection dashboard: specimens from the collection of the California Academy of Sciences (CAS) from: Integrating and visualizing primary data from prospective and legacy taxonomic literature - Biodiversity Data Journal 3: e5063 (12 May 2015) https://doi.org/10.3897/BDJ.3.e5063
Dashboard charts showing only specimens from the collection of the California Academy of Sciences. This page shows data from species-rank treatments. When viewed using a browser (such as Google Chrome) with an internet connection, this page sends a series of queries to Plazi and integrates the results with the Google Charts API to produce 37 interactive dashboard charts.
ScienceDex guides
Understand access before you commit
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.