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632 results for “policy”
IPBES Data Management Tutorials - Session 2.2: Why a data management policy for IPBES and how it concerns experts
<p>The <em>IPBES data management tutorials</em> are short videos to help experts implement the IPBES data and knowledge management policy. They cover topics ranging from data and knowledge management policy, reports, active research data, tools, and examples.</p> <p>The <em>IPBES data management policy </em>chapter provides an introduction of the IPBES data and knowledge management policy. It discusses why IPBES has a data and knowledge management policy and who is responsible for what in the implementation and further development of this policy.</p> <p>This session, <em>Why a data management policy for IPBES and how it concerns experts, </em>provides background on what IPBES wants to achieve with its data and knowledge management policy and how it impacts experts within IPBES. The session now has a supplement which covers the development of the policy from version 1.0 to 2.0. </p> <p>Please note that the IPBES data and knowledge management policy is the second version of the IPBES data management policy.</p>
Survey on policies for innovation in the Global South, 2022.
<p>In July-August 2022, the <a href="acceleratorlabs.undp.org">UNDP Accelerator Labs</a> launched a survey to get a big picture view on the work that its global network of 91 labs was doing to support innovation ecosystems. The results were surprisingly clear-cut and coherent.</p> <p>First, <strong>we learned that a solid majority of Labs had partnered with governments to deploy interventions in support of national innovation ecosystems, or was planning to do so in the near future</strong>. We were looking at a surge of government investment in innovation across the Global South. Furthermore, these Global South governments were looking beyond the usual Global North example of policies to support innovation and learning from each other.</p> <p>Second, <strong>we learned that UNDP was widely recognized as the leading organization in supporting Global South governments in this journey</strong>. And third, <strong>we learned that collaboration with governments that have invested in innovation becomes smoother and more impactful</strong>.</p> <p>This Zenodo entry contains a file aggregating all the responses to that survey. </p>
Raw Data for Mapping Repositories and their Institutional Open Science Policies in Asia
<p>Persistent Identifiers (PIDs), particularly Digital Object Identifiers (DOIs), are crucial for establishing a robust and globally accessible research infrastructure. In Asia, a diverse array of research outputs and resources are produced and published in repositories. However, a significant number of these repositories, and outputs remain undiscoverable in global registries and aggregators. <br><br>These three datasets provides comprehensive information on the adoption of repositories, Open Access mandates, and DOIs adoption in Asian countries. It includes detailed records from different registry sources and repository platforms.<br><br>You can read the full report titled 'Mapping Repositories and their Institutional Open Science Policies in Asia' at <a href="https://doi.org/10.5281/zenodo.12566244">https://doi.org/10.5281/zenodo.12566244</a></p>
Data of the article Analysis of the self-archiving policies of journals in the highest rank category of the Finnish journal classification system within computer science, physics and electronic engineering
<p>The publication forum level three journals representing the three fields of science of computer science, computer science and electrical engineering were identified by utilizing the MinEdu field search filter while searching for the top-ranked journals from the publication channel search (https://www.tsv.fi/julkaisufoorumi/haku.php?lang=en), which is based on Field of Science, Statistics Finland classification (https://www.stat.fi/meta/luokitukset/tieteenala/001-2010/index_en.html). The data were extracted during august 2017 consists of total of 127 individual journals. It is worth noting that circa 30 journals were classified into more than one fields of sciences under scrutiny. First, the journals were divided into representing gold and hybrid model journals. Second, green open access policies of the identified hybrid journals were analyzed using Laakso’s (2014) publisher policy coding framework. Also publishers of the individual journals were identified and subsequently added to the data.</p> <p>NOTE! The data includes the shortest embargo to either institutional or subject repositories. For example, Elsevier had no embargo to opening accepted manuscripts from arXiv subject repository and thus no embargoes to Elsevier's journals are included within this datasheet.</p> <p>Data is in CSV. format</p> <p> </p> <p> </p>
Accompanying material to the Inventory of opportunities and bottlenecks in policy to facilitate the adoption of soil-improving techniques
<p>Inventory of policies at EU and country level for the inventory and analysis of bottlenecks and opportunities in sectoral and environmental policies to facilitate the adoption of Soil-Improving Cropping Systems (SICS).</p>
Raw Data for Mapping Repositories and their Institutional Open Science Policies in the Middle East and North Africa (MENA)
<div> <p>Persistent Identifiers (PIDs), particularly Digital Object Identifiers (DOIs), are crucial for establishing a robust and globally accessible research infrastructure. In the Middle East and North Africa (MENA) region, a diverse array of research outputs and resources are produced and published in repositories. However, a significant number of these repositories, and outputs remain undiscoverable in global registries and aggregators. <br><br>These three datasets provides comprehensive information on the adoption of repositories, Open Access mandates, and DOIs adoption in MENA countries. It includes detailed records from different registry sources and repository platforms.<br><br>You can read the full report titled 'Mapping Repositories and their Institutional Open Science Policies in MENA' at <a href="https://doi.org/10.5281/zenodo.11370031">https://doi.org/10.5281/zenodo.11370031</a></p> </div>
Emotional Mapping of Turkish Foreign Policy towards Europe
<p>EMOFORTE deliverable: A historical-diachronic emotional mapping which interrogate change in the political discourse of Turkish foreign policy towards Europe with a longitudinal study from 2002-2019</p> <p>This digital product has been prepared as a part of EMOFORTE Project that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No.896311</p>
Cross-language corpora of privacy policies
<p>The dataset consists of three different privacy policy corpora (in English and Italian) composed of 81 unique privacy policy texts spanning the period 2018-2021. This dataset makes available an example of three corpora of privacy policies. The first corpus is the English-language corpus, the original used in the study by Tang et al. [2]. The other two are cross-language corpora built (one, the source corpus, in English, and the other, the replication corpus, in Italian, which is the language of a potential replication study) from the first corpus.</p> <p>The policies were collected from:</p> <ol> <li>the Alexa top 10 Italy and U.S. websites rank;</li> <li>the Play Store apps rank in the "most profitable games" category of the Play Store for Italy and the U.S.</li> </ol> <p>We manually analyzed the Alexa top 10 Italy websites as of November 2021. Analogously, we analyzed selected apps that, in the same period, had ranked better in the "most profitable games" category of the Play Store for Italy.</p> <p>All the privacy policies are ANSI-encoded text files and have been manually read and verified.<br> The dataset is helpful as a starting point for building comparable cross-language privacy policies corpora. The availability of these comparable cross-language privacy policies corpora helps replicate studies in different languages. <br> Details on the methodology can be found in the accompanying paper.</p> <p>The available files are as follows:</p> <ul> <li><strong>policies-texts.zip</strong> --> contains a directory of text files with the policy texts. File names are the SHA1 hashes of the policy text.</li> <li><strong>policy-metadata.csv</strong> --> Contains a CSV file with the metadata for each privacy policy.</li> </ul> <p>This dataset is the original dataset used in the publication [1]. The original English U.S. corpus is described in the publication [2].</p> <p>[1] F. Ciclosi, S. Vidor and F. Massacci. "Building cross-language corpora for human understanding of privacy policies." Workshop on Digital Sovereignty in Cyber Security: New Challenges in Future Vision. Communications in Computer and Information Science. Springer International Publishing, 2023, In press.</p> <p>[2] J. Tang, H. Shoemaker, A. Lerner, and E. Birrell. Defining Privacy: How Users Interpret Technical Terms in Privacy Policies. Proceedings on Privacy Enhancing Technologies, 3:70–94, 2021.</p>
FAIRsFAIR Policy Characterisation Data for D3.1
<p>As part of the EOSC project family the FAIRsFAIR - Fostering Fair Data Practices in Europe - project aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. The FAIRsFAIR project runs from March 2019-February 2022. Policies are a crucial component in the FAIR ecosystem. To this end, FAIRsFAIR Work Package 3 (WP3): FAIR Data Policy and Practice carried out an analysis of the current data policy landscape at various levels (national, funder, publisher, institutional) to provide a snapshot of the situation in 2019 and to identify policy elements that support or hinder FAIR data practice. To provide a comparative baseline for reviewing the data policies of various stakeholders, the priority and supporting actions presented in the <em>Turning FAIR into Reality </em>(TFiR) action plan were employed. To assess how well the policies of different stakeholders currently reflect TFiR’s action plan, we carried out desk research to characterise policies. </p> <p>Based on a review of existing policy characterisation efforts, FAIRsFAIR defined a total of 42 policy features to be reviewed during our landscape assessment. Fourteen of these features were intended to capture information about the policy itself (e.g., title, year of introduction, machine-readability) and 28 policy features were reviewed in relation to the content of the policy. </p> <p>For each of the three stakeholder groups assessed (funders, publishers and HEIs) we reviewed 10-15 data policies to determine how far they currently reflect the stakeholder-specific actions as recommended in TFiR. We limited the number to be reviewed to reflect the time and effort available for this task. To enable us to assess whether a specific policy element had been addressed within a given stakeholder’s policy, a set of related indicators were developed and mapped to the policy features and related TFiR policy actions. </p> <p>The policies selected for analysis as part of the landscape assessment come from stakeholders currently demonstrating a relatively high level of engagement with the FAIR principles. These have been identified through desk research and through the FAIRsFAIR consortium partners’ subject knowledge and related activities. Based on their particular areas of expertise, UGOE identified publishers to be included in the review while SPARC Europe identified funding bodies and EUA identified HEIs. The 42 policies reviewed for this task should not be considered an exhaustive inventory of stakeholders currently engaged with Open Science and the FAIR principles. </p>
FAIRsFAIR Policy and Practice Survey 2019 data for D3.1_D3.2_D6.1
<p>As part of the EOSC project family the FAIRsFAIR - Fostering Fair Data Practices in Europe - project aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. The FAIRsFAIR project runs from March 2019-February 2022. Landscaping activities have been a core activity during the initial stages of the FAIRsFAIR project and there has been close cooperation with colleagues in Work Package 3 carrying out the FAIR data policy and practice analyses; Work Package 2 on assessing FAIR requirements for interoperability and persistence; Work Package 6 on providing an overview of research communities’ needs for competence centres; and Work Package 7 on mapping RDM policies and support as well as FAIR education offerings in European HEIs. In particular, efforts were made to avoid duplication of effort across the three open consultation and survey instruments developed to assess the current landscape and to define a consistent approach to presenting our findings.</p> <p>As part of the landscape analysis, FAIRsFAIR ran an open consultation on Policy and Practice which was made available via EU Survey from August 2 - September 27, 2019. The consultation was also made accessible from the FAIRsFAIR website. A total of 106 responses were submitted by research support staff from across Europe and beyond. The open consultation included both open-ended and closed questions which sought to identify the different levels of maturity with regards to FAIR practices among disciplines, the range of policies that influence the way that researchers work, and the sources of support currently available to researchers. In developing the questions, FAIRsFAIR worked collaboratively with several related initiatives including the EOSC 5B projects, the Group of European Data Experts in RDA (GEDE), and the EOSC FAIR Working Group and Landscape Working Group to avoid duplication of effort in our information collection. FAIRsFAIR will continue to cooperate with these and other initiatives over the life of the project. The open consultation targeted members of the research support community to gain insights on their views and experiences in relation to implementing the FAIR principles.</p> <p>The open consultation questions were grouped under five broad themes:</p> <p>1) Practice</p> <p>2) Policy</p> <p>3) Repositories</p> <p>4) Skills</p> <p>5) Competence centres</p> <p>The data resulting from the open consultation has been used to inform three key FAIRsFAIR deliverables:</p> <ul> <li>D3.1 FAIR Data Policy Landscape Analysis</li> <li>D3.2 FAIR Data Practice Analysis</li> <li>D6.1 Overview of Needs for Competence Centre</li> </ul> <p> </p> <p> </p>
A Dataset of Science-Policy Collaborations from the International Geneva Ecosystem
<p><strong>This dataset contains data on the characteristics of science-policy collaborations (SPCs) as well as on the perceived value of the Geneva Science-Policy Interface as an intermediary actor facilitating collaborative processes. </strong></p> <p>----</p> <p>In 2020, the Geneva Science-Policy Interface deployed a call for projects explicitly targeting SPCs. The purpose of the call for projects is to motivate policy actors and scientists to join their efforts and propose collaboration projects, select the most promising projects, and provide them with financial and strategic support. Projects are eligible only if both academia and policy actors are represented, and if policy actors are part of the International Geneva ecosystem.</p> <p>The call for projects is a structured and standardised process that allows for the collection of identical data across a sample of SPCs, thus enabling comparative analyses. Data is collected through crowdsourcing, coupling challenge-based data collection and survey data. The Geneva Science-Policy Interface uses the call for projects to collect data on characteristics of SPCs as well as on the perceived value of the GSPI as an intermediary actor facilitating collaborative processes. </p>
Practices and policies of preprint platforms for life and biomedical sciences
<p>Given the increase in the use and profile of preprint servers – and alternative publishing hybrid platforms such as F1000 Research – in the life sciences, it is increasingly important to identify how many such servers and hybrids exist, to describe their scope in terms of the scientific disciplines they cover, and to compare and contrast their characteristics and policies.</p> <p>We surveyed forty-four (44) platforms that host preprints relevant to life and biomedical sciences and that were active online and accepting submissions on 25 June 2019. Information on preprint platform policies, features and practices was collected through online research by the authors and by surveying preprint platform representatives directly. </p> <p>Full data sheets include an additional 5 platforms hosted on OSF Preprints (rows 49-53) to fulfil the wider scope for the ASAPbio project, not in disciplinary scope (biology and medical sciences) for the manuscript with Jamie Kirkham.</p> <p><strong>Tables 1-5: </strong>Data (44 platforms, manuscript) are separated into five main tables of information and a list of preprint platform websites for reference.</p> <p>Table 1: Scope and ownership of each server<br> Table 2: Content-specific characteristics and information relating to submission, journal transfer options, and external discoverability<br> Table 3: Screening, moderation, and permanence of content<br> Table 4: Usage metrics and other features<br> Table 5: Metadata<br> Preprint platform websites</p> <p>Data for each platform are listed as ‘Verified’ in the tables if these tables (V1.0 or V2.0) were seen and approved by a platform representative between January 13 and January 27, 2020.</p> <p><strong>Original online survey:</strong> a blank copy of the original survey form used by online researchers (the authors) and supplied pre-filled (or empty, in some cases) to preprint platform representatives for verification (or completion, in some cases). </p> <p><strong>Final data:</strong> survey data is presented in .txt and .xlsx, as follows:</p> <ul> <li>Row 1: Heading (where field is included in manuscript tables, the heading presented here replaces any heading used in original survey. All columns are presented in the order the information was requested on the original survey form, with some supplementary columns added and columns removed (detailed below).</li> <li>Row 2: Schema or description of field</li> <li>Row 3: Whether and where included in manuscript tables. For supporting information for table data (e.g. source information, URLs), the table location for supported data is indicated in brackets, e.g. (Table 2) and supporting information is not included in tables. Data included in manuscript tables is presented in its final form, which in some cases is simplified from the original survey data. This simplified version of the data was presented to platform representatives for additional verification (v1.0/v2.0 verification). Data not included in manuscript tables is presented here as verified by platform representatives and/or found online. Some columns from the original survey have been removed due to the information not being informative or useful: specifically, Print ISSN (not reported for any platform); End date (no platforms have an end date; although two platforms stopped accepting submissions after survey completed; Personal contact information for platform representative(s) has been removed).</li> <li>Rows 4 onwards: data for each preprint platform (44 included in manuscript (rows 4-47), plus 5 additional OSF platforms (rows 48-52)</li> <li>Columns 3-6 (D-G) report online research and verification information and Column 13 (M) reports an additional data field (number of articles) – these are supplementary to the original survey columns</li> <li>Verification status: Released V1/V2 data applies to data included in manuscript tables (as indicated in row 3); Online survey data applies to data used for manuscript tables and also to original survey data included here but not included in manuscript tables (‘Not included’ in row 3)</li> <li>Note that data fields are presented as individual columns in these sheets, while some entries in Tables 1-5 combine several data fields.</li> </ul> <p>These data were collected in collaboration and as part of:<br> i. An ASAPbio project, led by Dr Naomi Penfold, to develop an online directory of preprint platforms<br> ii. A research project led by Prof Jamie Kirkham<br> These data are supplementary outputs for both projects.</p> <p>Data v1.0 were presented during the ASAPbio January 2020 workshop – see Penfold, Naomi C, & Polka, Jessica. (2020, January). ASAPbio Preprint Platform Directory: 2019 data (presentation) (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.3626770.<br> <br> <strong>Version 3.0 updates (December 14, 2020): added new files with updated information about servers from the ASAPbio preprint directory (https://asapbio.org/preprint-servers), provided by Jessica Polka (now included as author).</strong></p>
ROARMAP Open Access Policy data - Country list
<p>This data is a sub set of a dump from ROARMAP [http://roarmap.eprints.org/] taken on 24th August 2014.</p> <p>ROARMAP is the Registry of Open Access Repository Mandates and Policies, a searchable international registry charting the growth of open access mandates and policies adopted by universities, research institutions and research funders that require or request their researchers to provide open access to their peer-reviewed research article output by depositing it in an open access repository.</p> <p>Number of Open Access policies and a ranking is shown for each country.</p> <p>The data is being used for a series of data visualisations [http://pasteur4oa-dataviz.okfn.org/] for the PATEUR4OA Project [http://pasteur4oa.eu/].</p> <p> </p> <p>PASTEUR4OA (Open Access Policy Alignment Strategies for European Union Research) aims to support the European Commission’s Recommendation to Member States of July 2012 that they develop and implement policies to ensure Open Access to all outputs from publicly-funded research. </p> <p>PASTEUR4OA will help develop and/or reinforce open access strategies and policies at the national level and facilitate their coordination among all Member States. It will build a network of centres of expertise in Member States that will develop a coordinated and collaborative programme of activities in support of policymaking at the national level under the direction of project partners.</p>
Greek privacy policies dataset from PCI 2023 paper: "A privacy policies dataset in Greek in the GDPR era"
<p>A dataset of privacy policies in the Greek language, with policies coming from top visited websites in Greece with a privacy policy in the Greek language.</p> <p>The dataset, as well as results of its analysis are included.</p> <p>if you want to use this dataset, please cite the relevant conference publication:</p> <p>Georgia M. Kapitsaki and Maria Papoutsoglou, "A privacy policies dataset in Greek in the GDPR era, in Proceedings of the 27th Pan-Hellenic Conference on Informatics, PCI 2023.</p> <p> </p>
EXIT_Dataset_Survey on key policies and perceptions_2023_Survey data Serbia
<p>Survey data generated in WP2 of the EXIT project in the context of Serbia.The purpose of the survey was to collect data on the perceptions of policies used to address territorial inequalities in Serbia. </p>
Countries' Agri-Environmental Policies Database
<p>A new database of 6124 policies at the intersection of agriculture and the environment. Implemented between 1960 and 2022 in over 200 countries. Comprises a wide range of types of policies (e.g., ranging from legislative changes to payments for ecosystem services), as well as a wide range of goals (e.g., from pesticide regulations to forest conservation). It allows to e.g. count such policies per country, filter to select specific policies, and to create policy indices, e.g. weighting countries' policies with contextual factors that enhance to hinder policy performance (e.g. policy budgets, enforcement, stringency, corruption).</p> <p>The main database comes in the formats CSV, EXCEL, and DTA, country averages are provided in CSV and DTA, the dataset for the soil erosion policy analysis is provided in DTA and the code for the analysis is a DO-file.</p>
EUGAIN Policy Influence Plan Template
<p>This is the EUGAIN Policy Influence Plan Template.</p> <p>It was created within the European Union COST Action CA-19122 in 2024, published as figure in Deliverable 8, the Handbook.</p>
Data for "Paris Agreement requires substantial, broad, and sustained policy efforts beyond COVID-19 recovery packages"
<p>This dataset contains the underlying data for the following publication: Tanaka, K., C. Azar, O. Boucher, P. Ciais, Y. Gaucher, D. J. A. Johansson (2022) Paris Agreement requires substantial, broad, and sustained policy efforts beyond COVID-19 public stimulus packages. <em>Climatic Change</em> <strong>172, </strong>1 (2022). https://doi.org/10.1007/s10584-022-03355-6</p> <p>Earlier manuscripts were published as a preprint. https://arxiv.org/abs/2104.08342</p>
Inventory of Policy Interventions related to Energy and Transport Behaviours
<p>User behaviour is a complex issue, as it is influenced by a multitude of factors from economic status, age, education, political environment etc. The WHY project aims to identify the possible user reactions and their effect on the energy consumption due to external stimuli. In context of the WHY project these external stimuli are called “interventions”. In this chapter different approaches for policy driven interventions are discussed and presented. </p>
Data and code for: "Improving the relevance of paleontology to climate change policy"
<p>Data and code for the article: "Improving the relevance of paleontology to climate change policy". [Link here]</p>
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.