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<title>UNITED NATIONS Programmes</title>
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<dc:date>2026-06-13T11:49:49Z</dc:date>
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<title>Guidelines for the long term Monitoring programmes for marine turtles nesting beaches and standardized monitoring methods for nesting beaches, feeding and wintering areas.</title>
<link>https://repository.oceanbestpractices.org/handle/11329/2461</link>
<description>Guidelines for the long term Monitoring programmes for marine turtles nesting beaches and standardized monitoring methods for nesting beaches, feeding and wintering areas.
This Guideline describes and suggests improvement on the methodology for the long-term standardized collection and assimilation of data on adult and juvenile loggerhead (Caretta caretta) and green (Chelonia mydas) sea turtles at nesting, foraging and wintering areas throughout the Mediterranean. In particular, it suggests (i) standardised monitoring techniques for establishing the current distribution of nesting, wintering and feeding areas in parallel to detecting shifts in distribution over time and (ii) standardised monitoring techniques for establishing the population size of selected nesting, wintering and feeding areas, along with proposed selection criteria to assimilate a representative cross-section of sites nationally based on the provisions of the UNEP(DEPI)/MED IG.22/Inf.7, the IMAP and the Common Indicators factsheets. The combined use of a variety of assessment techniques is suggested to facilitate demographic analyses, which should be covered in the ‘Standardization of methodologies to estimate demographic parameters for population dynamics analysis, such as population modelling’.&#13;
Due to the different financial, personnel, equipment and National Security status of the countries bordering the Mediterranean, the document has been structured to suggest (1) essential baseline information for collection throughout all countries and (2) additional information for collection at a network of sites with different characteristics to enhance demographic models and the assessment of key pressures to sea turtles. It is essential to obtain a broad understanding of the current distribution and numbers of sea turtles across all sites to record future shifts in response to changes in anthropogenic pressure, including climate change.&#13;
In order to ensure that data are standardised with the aim of facilitating the sharing and analysis of information at the Mediterranean scale, the agreement of the collaborative parties is required along with the willingness to participate from the main contributors (research organisations, universities, fishers, individuals etc.). A central body should be assigned to liaise with participants/contributors, ensure that the information are inserted in the appropriate database with relevant linkages among all databases (ultimately, genetics data should link all other data inputs). Depending on the type and detail of information, layers could be generated on a GIS database, building on Mediterranean wide surveys conducted every 5-years (supporting the suggestion of the Demography Working Group 2015). This approach would allow gaps in monitoring (location and level of information provided) to be identified at the Mediterranean scale, and addressed at regular intervals. Furthermore, by assimilating all data in a central database, the access and use can be standardised, allowing nesting areas to be connected with foraging and wintering areas, which generally occur in different countries.&#13;
Ultimately, as bias will always exist, this suggested approach will facilitate variation in effort across all involved nations, maximising our understanding and ability to improve the protection of sea turtles at the Mediterranean scale.
</description>
<dc:date>2017-01-01T00:00:00Z</dc:date>
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<title>Data interoperability: A practitioner's guide to joining up data in the development sector.</title>
<link>https://repository.oceanbestpractices.org/handle/11329/1971</link>
<description>Data interoperability: A practitioner's guide to joining up data in the development sector.
González Morales, Luis Gerardo; Orrell, Tom
The Guide is structured around five areas that the Collaborative has collectively identified as being integral&#13;
to the development of more interoperable data systems at scale over time:&#13;
1. Interoperability, data management, and governance;&#13;
2. Canonical data and metadata models;&#13;
3. Classifications and vocabularies;&#13;
4. Standardized interfaces; and&#13;
5. Linked data.&#13;
The five areas covered by the Guide address some of the key dimensions needed to scale interoperability&#13;
solutions to macroscopic and systemic levels. The Guide has been developed as a practical tool to help&#13;
improve the integration and reusability of data and data systems. New sections, examples and guidance&#13;
will be added to the Guide over time to ensure its continued relevance and usefulness in this fast-evolving&#13;
space. Not all chapters will be relevant to all audience groups. We envisage that the introduction and first&#13;
chapter will be most relevant to those engaged in policy, management and planning work; with the&#13;
remaining four chapters being most relevant to technical specialists and statisticians across stakeholder&#13;
groups who are looking for specific guidance on how to improve the interoperability of their information&#13;
systems.&#13;
The Guide aims for clarity and accessibility while simultaneously exploring technically complex issues. This&#13;
is a difficult balance to strike but one that we have striven to maintain throughout, in some areas probably&#13;
more successfully than others. It is our hope that this corpus of knowledge and examples will grow in time&#13;
as the Guide matures from this first edition.&#13;
Each chapter concludes with sections entitled ‘Building a Roadmap’ and ‘Further Reading’. These are key&#13;
components of the Guide’s practical application. Collectively, the Roadmap components set out an&#13;
assessment framework that data managers in development organizations and government Ministries&#13;
Departments and Agencies (MDAs) can use to assess the degree to which their systems are interoperable&#13;
or not and where further action is required (see Annex A for further information). As with the Guide in&#13;
general, it is hoped that this assessment tool will be developed further in the coming years and applied&#13;
by organizations and institutions across stakeholder groups (drawing lessons from, and building on,&#13;
sectoral initiatives such as the Health Data Collaborative’s Health Information Systems Interoperability&#13;
Maturity Toolkit1).&#13;
The Collaborative on SDG Data Interoperability will continue to build and maintain the Guide as it develops&#13;
as a tool. Focus will shift to the development of additional modules and examples for the Guide as well as&#13;
the production of ancillary materials to help raise awareness of its existence and usability. It is hoped that&#13;
new synergies will form between data producers, publishers, users, and those providing capacity building&#13;
and training. In this way, the guidance set out within the Guide can be incorporated into existing training&#13;
materials and modules, and a consistent approach to the system-wide improvement of data&#13;
interoperability can start to become a reality in the development sector.&#13;
To find out more about the Collaborative on SDG Data Interoperability and how to contribute to the next&#13;
iteration of this Guide, please contact info@data4sdgs.org.
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<dc:date>2018-01-01T00:00:00Z</dc:date>
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<title>Foundational primer on the 2030 Agenda for Sustainable Development.</title>
<link>https://repository.oceanbestpractices.org/handle/11329/1969</link>
<description>Foundational primer on the 2030 Agenda for Sustainable Development.
This SDG Primer aims to establish a&#13;
common base of understanding and&#13;
approach for the UN system in supporting&#13;
the 2030 Agenda. It is primarily meant to&#13;
inform, in broad terms, the programmes&#13;
and actions of all UN entities, including&#13;
their engagement with government and&#13;
civil society partners.
</description>
<dc:date>2019-01-01T00:00:00Z</dc:date>
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