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14 results for “Open Access to research data”

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zenodo48/100

Global Naturalized Alien Flora (GloNAF). Open access data to support research on understanding global plant invasions.

<p>This dataset is a snapshot of the Global Naturalized Alien Flora (GloNAF) database, version 2.02. &nbsp;GloNAF is a continuously updated, curated compilation of alien naturalized vascular plant inventories for geographic regions from around the world. The dataset has 16,429 unique taxa reported as naturalized or invasive and covers 1,343 regions (including 427 islands) from 336 data sources. For each region, the status (invasive, naturalized) is provided as listed in the original source.&nbsp; We provide the scientific names included with the original data source, and the matching accepted name or synonym of the taxon as given in the World Checklist of Vascular Plants (WCVP) Version 12. In addition, we provide an ESRI shapefile of polygons for each region. We also provide several variables that can be used to filter the data according to quality and completeness of alien taxon lists, which vary among the combinations of regions and data sources.</p> <p>The 'glonaf_flora2.csv' file lists the IDs ('taxon_wcvp_id') of all naturalized taxa contained in GloNAF and the regions they occur in. The 'glonaf_taxon_wcvp.csv' lists the original taxon names provided in the source data along with the corresponding accepted taxon name from the WCVP (version 12) for all alien taxa in GloNAF, regardless of their naturalization status.&nbsp; To link taxon names with naturalization records, join the 'id' column of the 'glonaf_taxon_wcvp.csv' file to the 'taxon_wcvp_id' column in 'glonaf_flora2.csv' . Additional information regarding the original source of the data ('glonaf_reference.csv'), specific attributes of the taxon lists ('glonaf_list.csv') and the region ('glonaf_region.csv') can also be joined similarly to 'glonaf_flora2.csv '.&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2024View details →
zenodo44/100

Research Data of the 2014 Census of Open Access Repositories in Germany, Austria and Switzerland

<p>The &quot;2014 Census of Open Access Repositories in Germany, Austria and Switzerland&rdquo; (2014 Census) is&nbsp;a study on the green open access landscape conducted in the course of a project seminar at the&nbsp;Berlin School of Library and Information Science (BSLIS) at Humboldt-Universit&auml;t zu Berlin. The 2014 Census&nbsp;not only&nbsp;succeeds the &quot;2012 Census of Open Access Repositories in Germany&quot;[1] but enhances it by&nbsp;adding an online survey to the qualitative analysis of the open access repository websites and the automatic validation of its metadata. Like in 2012 the 2014 Census gives insights into the development of open access repositories and current trends in repository design being of substantial use to open access repository&nbsp;operators.</p> <p>This 2014 Census data set represents the data collected in three different ways:</p> <ul> <li>qualitative analysis of the open access repository websites</li> <li>automatic validation of the metadata via OAI-PMH using the DINI-Validator [2]&nbsp;</li> <li>online survey of repository operators</li> </ul> <p>As in 2012 [3] the data set is provided in XLSX as well as in CSV format. The columns represent the criteria and the rows represent the analyzed&nbsp;open access repositories. In the XLSX file the header row gives the definition of each criterion in English and German. In the CSV &quot;content&quot; file the header row is in English short terms. The respective English and German definition can be found in the CSV &quot;readme&quot; file.</p> <p>&nbsp;</p> <p>[1]&nbsp;Vierkant, P. (2013). 2012 Census of Open Access Repositories in Germany: Turning Perceived Knowledge Into Sound Understanding.&nbsp;<em>D-Lib Magazine</em>, 19. http://dx.doi.org/10.1045/november2013-vierkant&nbsp;</p> <p>[2] http://oanet.cms.hu-berlin.de/validator/pages/validation_dini.xhtml</p> <p>[3]&nbsp;Vierkant, Paul; Voigt, Michaela; Dupski, Jens; David, Sammy; L&ouml;sch, Mathias (2013): 2012 Census of Open Access Repositories in Germany. fig<strong>share</strong>.&nbsp;<br /> http://dx.doi.org/10.6084/m9.figshare.677099</p>

opencc-by-4.0Jul 2014View details →
zenodo44/100

Data for publication "Benefits of open access to researchers from lower-income countries: A global analysis of reference patterns in 1980–2020"

<p>Data to reproduce figures for the publication "Benefits of open access to researchers from lower-income countries: A global analysis of reference patterns in 1980&ndash;2020" (DOI: 10.1177/01655515241245952). Each file contains the data underlying the figure corresponding to the file name.</p>

opencc-by-4.0Apr 2024View details →
zenodo44/100

Monitoring open access publishing of NWO funded research (2015-2021) data set

<p>This is the dataset underlying the report &quot;Monitoring open access publishing of NWO funded research&quot;&nbsp; (<a href="https://doi.org/10.5281/zenodo.7041897">https://doi.org/10.5281/zenodo.7041897</a>)</p> <p>The report presents statistics on the extent to which publications from the period 2015&ndash;2021&nbsp;funded by NWO are available in Open Access. The analyses presented in this report also cover publications funded by the Netherlands Organisation for Health Research and Development ZonMw.&nbsp;This report builds on two earlier reports, published in <a href="https://zenodo.org/record/4446042">2020</a> and <a href="https://zenodo.org/record/5056043">2021</a>, covering publications from the period 2015&ndash;2018 and 2015-2020, respectively.</p>

opencc-by-4.0Sep 2022View details →
zenodo44/100

Data and Statistical analysis for: "Predator in the pool? A quantitative evaluation of non-indexed open access journals in aquaculture research"

<p>Data and Statistical analysis for: &quot;Predator in the pool? A quantitative evaluation of non-indexed open access journals in aquaculture research&quot; published in&nbsp;<em>Frontiers in Marine Science</em></p>

openmit-licenseMar 2018View details →
zenodo40/100

Data for Research Assessment in the Transition to Open Science. 2019 EUA Open Science and Access Survey Results

<p>This database refers to the data collected by the European University Association (EUA) for its Open Science and Access Survey 2019, which gathered responses from universities and higher education institutions across Europe. The full report published by the association is available at <a href="https://eua.eu/resources/publications/888:research-assessment-in-the-transition-to-open-science.html">https://eua.eu/resources/publications/888:research-assessment-in-the-transition-to-open-science.html</a>.</p> <p>The data included in this database refers only to those universities and higher education institutions that accepted their data to be available in open access (n=174). All information that could lead to the identification of individual universities and higher education institutions was removed from the database (cf. cells highlighted in red). The following files are available:</p> <ul> <li>2019 EUA Open Science and Access Survey</li> <li>Database in the following formats: .xlsx (Microsoft Excel)</li> <li>Survey Codebook: includes information on all the variables and their coding.</li> </ul>

opencc-by-4.0Jan 2020View details →
zenodo40/100

Monitoring open access publishing of NWO funded research (data)

<p>This is the dataset underlying the report &quot;Monitoring open access publishing of NWO funded research&quot; (https://doi.org/10.5281/zenodo.5055609).&nbsp;</p> <p>The report presents statistics on the extent to which publications from the period 2015&ndash;2020 funded by NWO are available in Open Access . The analyses presented in this report also cover publications funded by the Netherlands Organisation for Health Research and Development ZonMw.</p> <p>This report builds on an <a href="https://doi.org/10.5281/zenodo.4446042">earlier report</a> published in 2020 covering publications from the period 2015&ndash;2018.</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2021View details →
zenodo36/100

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&nbsp;</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,&nbsp;<em>by facilitating the integration of RRI (or RRI-like) practices in the SDGs, to make them more achievable.</em>&nbsp;The&nbsp;impact&nbsp;of the new perspectives, ideas and approaches in SDG operationalization and implementation will be aimed at the level of&nbsp;<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>

opencc-by-4.0Jun 2021View details →
dryad36/100

Data from: Digitizing extant bat diversity: an open-access repository of 3D μCT-scanned skulls for research and education

Open the record for dataset details and reuse information.

publicAug 2019View details →
zenodo32/100

Dataset of the study "Open Access and Data Sharing in Cancer Stem Cells research"

<p>Dataset of the study "Open Access and Data Sharing in Cancer Stem Cells research"</p>

opencc-by-4.0May 2024View details →
dryad28/100

Data from: In an age of open access to research policies: physician and public health NGO staff research use and policy awareness

Introduction: Through funding agency and publisher policies, an increasing proportion of the health sciences literature is being made open access. Such an increase in access raises questions about the awareness and potential utilization of this literature by those working in health fields. Methods: A sample of physicians (N=336) and public health non-governmental organization (NGO) staff (N=92) were provided with relatively complete access to the research literature indexed in PubMed, as well as access to the point-of-care service UpToDate, for up to one year, with their usage monitored through the tracking of web-log data. The physicians also participated in a one-month trial of relatively complete or limited access. Results: The study found that participants' research interests were not satisfied by article abstracts alone nor, in the case of the physicians, by a clinical summary service such as UpToDate. On average, a third of the physicians viewed research a little more frequently than once a week, while two-thirds of the public health NGO staff viewed more than three articles a week. Those articles were published since the 2008 adoption of the NIH Public Access Policy, as well as prior to 2008 and during the maximum 12-month embargo period. A portion of the articles in each period was already open access, but complete access encouraged a viewing of more research articles. Conclusion: Those working in health fields will utilize more research in the course of their work as a result of (a) increasing open access to research, (b) improving awareness of and preparation for this access, and (c) adjusting public and open access policies to maximize the extent of potential access, through reduction in embargo periods and access to pre-policy literature.

opencc-zeroDec 2014View details →
zenodo28/100

Supplementary material 1 from: Woolfrey L (2017) Data Management Plan: Opening access to economic data to prevent tobacco related diseases in Africa. Research Ideas and Outcomes 3: e14837. https://doi.org/10.3897/rio.3.e14837

Data quality issues: Accuracy - issues around data collection.

opencc-zeroJul 2017View details →
zenodo28/100

Figure 1 from: Woolfrey L (2017) Data Management Plan: Opening access to economic data to prevent tobacco related diseases in Africa. Research Ideas and Outcomes 3: e14837. https://doi.org/10.3897/rio.3.e14837

Figure 1 - Tobacco Data in Africa Project Data Inventory 2016. Original data available as Suppl. material 1.

opencc-by-4.0Jul 2017View details →
dryad28/100

Data from: In an age of open access to research policies: physician and public health NGO staff research use and policy awareness

Open the record for dataset details and reuse information.

publicJul 2016View details →

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electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
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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.

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OpenNeuro

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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.