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632 results for “Policies”
Identifying science-policy consensus regions of high biodiversity value and institutional recognition
<p>We retrieved 63 articles presenting prioritization maps (out of 5137 screened) and grouped these into three separate clusters based on their underlying methodology and input data, using Multivariate Component Analysis and Hierarchical Clustering on Principal Components. By combining these maps, weighted according to their cluster characteristics, we generated a map of scientific-consensus regions with the highest overlap of independently generated biodiversity priorities. We also created a map of policy-consensus, representing regions with the highest potential to attract the interest of the international conservation organization.</p> <p>Here we made available the raster version of of scientific-consensus regions and the map of policy-consensus.</p> <p>The maps are two raster of continuos value, from a minimum of 0 to a max which depend on the number of overlapping priority conservation maps</p> <p>Detailed methods are available from Cimatti et al. (2021) <a href="https://doi.org/10.1016/j.gecco.2021.e01938">https://doi.org/10.1016/j.gecco.2021.e01938</a></p> <p>In the zip folder you can find scientific-consensus of policy-consensus maps with original values and reclassified with percenitles</p>
Data to D3.1 - Policy design for the transition to circular economy –assessing the inclusion of water and territory in national action plans
<p>This policy paper is part of Project Ô −Demonstration of planning and technology tools for a circular, integrated, and symbiotic use of water, and of WP3 dedicated to the Integrated water management, planning and CE. Itassesses the integration of water and landrelated issues in national CEaction plans of a set of European Union (EU)member states. So far, only two countries associated to the Project Ô demo-sites have a CEaction plan, namely Spain and Italy. This paper also covers a set ofother EU countries enlarging the scope of the analysis.Itis structured into four sections. Section 1 describes the problem and challenges. Section 2 identifies the European policy approach for CEand questions how water and landrelated issues are considered. Section 3 assesses how these concerns have been taken into account in a large set of EU member states CEaction plans. Section 4 suggests a set of policy recommendations for policy design of CEplans regarding water and landrelated issues.</p>
An Open Dataset of Scholarly Publications Referenced in Selected Policy Documents (POLIDOC_SCHOLAR)
<p>POLIDOC_SCHOLAR: An Open Dataset of Scholarly Publications Referenced in Selected Policy Documents</p> <p>This repository contains an open dataset of scholarly publications cited by selected policy documents.</p> <p><strong>1. Background:</strong></p> <ul> <li>We do not aim to create a dataset of references for all policy documents or millions of policy documents but rather from a carefully selected set of policy documents.</li> <li>The long-term plan is to facilitate the inclusion of citations of scholarly publications in open bibliometric databases (or at least to create inter-operable datasets).</li> <li>In the short-term, we plan to increase the number of policy documents included in the dataset and continue to monitor and increase the data quality (completeness of records, provided external identifiers).</li> <li>We will also document - in the next release - the reference extraction process (including code used)</li> </ul> <p> </p> <p><strong>2. Structure of the dataset:</strong></p> <p>The dataset is structured into two primary categories: "<strong>Collections</strong>" and "<strong>Collection References</strong>."</p> <p><strong>Collections:</strong></p> <p>The metadata for selected policy documents is included the "<em>collections.jsonl</em>" file.</p> <p>The <strong>collection</strong> is a central feature of the POLIDOC_SCHOLAR dataset. The selected policy documents are listed in the “<em>collections.jsonl</em>”.</p> <p>For instance, a collection might include reports like the IPCC reports of the 6th Cycle (the "IPCC_AR_6 collection") or the reports from IPBES (the "IPBES collection").</p> <p>Within each collection, there are "documents." These can be twofold:</p> <ul> <li>They represent individual reports within a collection (e.g., the IPCC_AR_6 collection contains 6 reports: 3 assessment reports and 3 special reports from the 6th Cycle of the IPCC assessment).</li> <li>They also denote specific sections of these reports that contain bibliographic references. These sections can be chapters or other segments like supplementary materials or annexes (any section which has a reference list). Each document has a unique code, and the relationships between a main document and its subdivisions are indicated in the "is_part_of" field.</li> </ul> <p><strong>Collection References:</strong></p> <p>To allow users to access only the collections they are interested in, we've separated references by collection in files named "<em>collection_reference_{…name of collection…}jsonl</em>."</p> <ul> <li>Each of these files includes bibliographic references for every document in a specific collection.</li> <li>Besides presenting these as "reference strings" (in their original format within the document), we also offer unique identifiers like DOI and OpenAlex ID to facilitate linkage to external databases.</li> </ul> <p>The documentation of the dataset is provided in the file “<em>data_dictionary</em>”</p> <p><strong>3, Content release v1:</strong></p> <p>This release (POLIDOC_SCHOLAR version 1) includes 2 collections:</p> <ol> <li>IPCC Assessment Cycle 6 </li> <li>IPBES Assessment reports</li> </ol> <p> </p> <table> <tbody> <tr> <td> <p> </p> </td> <td> <p>collection</p> </td> <td> <p>Number of reports</p> </td> <td> <p>Number of documents (“sections” with reference)</p> </td> <td> <p>Number of references (strings, not unique)</p> </td> <td> <p>Number of references with DOI (unique)</p> </td> <td> <p>Number of references with DOI (unique)</p> </td> </tr> <tr> <td> <p>1</p> </td> <td> <p>IPCC Assessment Cycle 6</p> </td> <td> <p>6</p> </td> <td> <p>103</p> </td> <td> <p>94,958 </p> </td> <td> <p>51,713</p> </td> <td> <p>48,695</p> <p> </p> </td> </tr> <tr> <td> <p>2</p> </td> <td> <p>IPBES Assessment reports</p> </td> <td> <p>3</p> </td> <td> <p>27</p> </td> <td> <p>21,750 </p> </td> <td> <p>12,100 </p> </td> <td> <p>11,896</p> </td> </tr> </tbody> </table>
Ecosystem management policy implications based on Tonga main tuna species catch data 2002–2018
<p>From 2002 to 2018, the Tongan Long Line fishery collected and compiled catch data (limited to presence records) for Albacore, Bigeye, Skipjack, and Yellowfin. The Tonga Ministry of Fishery and the South Pacific Community (SPC) Office in New Caledonia provided this data. To ensure adherence to regulations, at least two fisheries offices cross-verified the entire fish catch. The data consists of daily fishing positions (latitude and longitude) and date (day, month, and year), organized in a 1^0 spatial grid. Our study utilized catch per unit effort (CPUE), a standardized metric indicating fishing efficiency and effort, calculated by dividing the weight of the catch in metric tons by the number of hooks deployed per fishing record. To align with the temporal scales of the predictor variables, we aggregated the CPUE data into monthly and annual datasets using Microsoft Excel.</p>
VULNER legal and policy documents
<p>Legal and policy documents, which were collected as part of the VULNER project.</p>
Analysis of publisher policies on code sharing
<p>At the <a href="https://www.rd-alliance.org/plenaries/rda-19th-plenary-meeting-part-international-data-week-20%E2%80%9323-june-2022-seoul-south-korea">19th Research Data Alliance Plenary</a> (June 2022), a <a href="https://www.rd-alliance.org/sharing-code-supports-research-articles-it-time-align-goals-and-publisher-policies">Birds of a Feather session</a> was convened to discuss aspects of code sharing and investigate if there was a consensus on which aspect of code sharing the community should be a focus of attention. The group, which included publishers, institutions, researchers and infrastructure providers, agreed to focus on "code" (i.e., "single use" or "one-shot", often referred to as "analysis code") that usually accompanies published articles and increasing the availability of this code. Note that this refers to a specific context in which "source code" is created and not "code" more generally.</p><p>Following this session, a <a href="https://www.researchsoft.org/taskforces/">Research Software Alliance task force </a>on code availability was convened and three group members carried out a high level landscape analysis of publisher policies around code sharing using the <a href="https://www.chorusaccess.org/resources/chorus-for-publishers/publisher-data-availability-policies-index/">CHORUS Publisher Data Availability Policies Index</a> to gather a list of publishers. After feedback from other group members a more comprehensive analysis of the policies was carried out. Publisher policies were assessed for the presence of language related to code sharing and, if present, it was subsequently characterised. Coding of the policies and associated language was carried out independently by all three authors and a consensus derived. Details are given on the README tab of the dataset.</p>
Focus Group Discussion with Policy Makers (Germany)
<p>This material is a transcript of a group discussion conducted with policy makers on the topic of educational commons. The abbreviation UOS in the file name/identifier refers to the consortium partner providing the dataset.</p>
Promoting Medication Reimbursement Policy (PAPMed)
ClinicalTrials.gov study NCT04731194. IPD Sharing: NO. Countries: 1. Publications: 1.
2-Year Study of Vagus Nerve Stimulation for Higher-Grade Treatment-Resistant Depression: Clinical Outcomes and Policy Recommendation
ClinicalTrials.gov study NCT07097025. IPD Sharing: UNDECIDED. Countries: 1. Publications: 9.
Evaluating the Health Benefits of Workplace Policies and Practices - Phase II
ClinicalTrials.gov study NCT02050204. IPD Sharing: Not stated. Countries: 1. Publications: 25.
ADHAirE : a Randomized Controlled Trial to Improve the Implementation of Tobacco-free School Policies
ClinicalTrials.gov study NCT06655038. IPD Sharing: NO. Countries: 1. Publications: 1.
Public Perception and Policy for SARS-CoV-2 Whole Genome Sequencing and Genomics for All
ClinicalTrials.gov study NCT06441981. IPD Sharing: NO. Countries: 1. Publications: 2.
"Wait-and-see" Policy for Complete Responders After Chemoradiotherapy for Rectal Cancer
ClinicalTrials.gov study NCT03426397. IPD Sharing: NO. Countries: 2. Publications: 1.
Impact of Adherence to Anemia Management Policy on Repeat Hospitalization in End Stage Renal Disease (ESRD)
ClinicalTrials.gov study NCT01017627. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study to Evaluate the Health and Wellness Policies of the New Haven Public School District.
ClinicalTrials.gov study NCT02043626. IPD Sharing: Not stated. Countries: 1. Publications: 16.
Efficacy and Cost of State Quitline Policies
ClinicalTrials.gov study NCT00366977. IPD Sharing: Not stated. Countries: 1. Publications: 40.
The Effect on Overall Mortality of a National Policy of Limiting Measles Vaccination to Children Below 12 Months of Age
ClinicalTrials.gov study NCT01306006. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Translation of District Sun Safe Policies to Schools
ClinicalTrials.gov study NCT03243929. IPD Sharing: NO. Countries: 1. Publications: 1.
Contrast-Enhanced CT and MRI in Diagnosing and Staging Liver Cancer Using UNOS Policy
ClinicalTrials.gov study NCT01082224. IPD Sharing: YES. Countries: 1. Publications: 1.
Achieving Equity in Genomic Testing for Breast Cancer Through Partner-Led Strategies and Policies
ClinicalTrials.gov study NCT05916378. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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