Toward Implementation of the Global Earth Observation System of Systems Data Sharing Principles

This White Paper reviews the background issues for implementing the GEOSS Data Sharing Principles and recommends Implementation Guidelines to ensure the strongest possible framework for data sharing, consistent with both the spirit and the “letter” of the Principles. As recognized by the 10-Year Implementation Plan, “ensuring that such information is available to those who need it is a function of governments and institutions at all levels.” It is therefore incumbent on governments and institutions participating in GEOSS to continue to develop and implement appropriate policies and procedures that enable and support the GEOSS Data Sharing Principles in fair and effective ways. The implementation approaches discussed here are intended to facilitate this process

Comparing Approaches for the Sustainability of Scientific Data Repositories

Sustainable data systems are critical components of the cyberinfrastructure needed to provide long-term stewardship of scientific data, including Earth science data, throughout their entire life cycle. A variety of approaches may help ensure the sustainability of such systems, but these approaches must be able to survive the demands of competing priorities and decreasing budgets over long time periods. Analyzing and comparing various approaches can identify viable aspects of each approach and inform decisions for developing, managing, and supporting the cyberinfrastructure needed to facilitate discovery, access, and analysis of data by future communities of users. A typology of sustainability approaches is proposed, and example use cases are offered for assessing the approaches over time. These examples help illustrate the potential strengths and weaknesses of each approach under various conditions and with regard to different objectives, e.g., open vs. limited access. By applying the results of these analyses to their particular circumstances, systems stakeholders can assess their options for a sustainable systems approach, which may incorporate multiple sustainability options, along with other metrics to ensure the sustainability of the scientific data and information for which they are responsible. In addition, clarifying and comparing sustainability approaches should inform the design of new systems and the improvement of existing systems to meet the needs for long-term stewardship of scientific data, and support education and workforce development efforts needed to ensure that the appropriate scientific and technical skills are available to operate and further develop sustainable cyberinfrastructure

Open data and Earth observations

Abstract Earth observations (EO) represent a growing and valuable resource for many scientific, research and practical applications carried out by users around the world. Access to EO data for some applications or activities, like climate change research or emergency response activities, becomes indispensable for their success. However, often EO data or products made of them are (or are claimed to be) subject to intellectual property law protection and are licensed under specific conditions regarding access and use. Restrictive conditions on data use can be prohibitive for further work with the data. Global Earth Observation System of Systems (GEOSS) is an initiative led by the Group on Earth Observations (GEO) with the aim to provide coordinated, comprehensive, and sustained EO and information for making informed decisions in various areas beneficial to societies, their functioning and development. It seeks to share data with users world-wide with the fewest possible restrictions on their use by implementing GEOSS Data Sharing Principles adopted by GEO. The Principles proclaim full and open exchange of data shared within GEOSS, while recognizing relevant international instruments and national policies and legislation through which restrictions on the use of data may be imposed. The proposed paper focuses on the issue of the legal-interoperability of data that are shared with varying restrictions on use with the aim to explore the options of making data interoperable. The paper analyses legal protection regimes and their norms applicable to EO data. Based on the findings, it highlights the existing public law statutory, regulatory, and policy approaches, as well as private law instruments, such as waivers, licenses and contracts, that may be used to place the datasets in the public domain, or otherwise make them publicly available for use and re-use without restrictions. It uses GEOSS and the particular characteristics of it as a system to identify the ways to reconcile the vast possibilities it provides through sharing of data from various sources and jurisdictions on the one hand, and the restrictions on the use of the shared resources on the other. On a more general level the paper seeks to draw attention to the obstacles and potential regulatory solutions for sharing factual or research data for the purposes that go beyond research and education

Development of global soil information facilities

ISRIC - World Soil Information has a mandate to serve the international community as custodian of global soil information and to increase awareness and understanding of the role of soils in major global issues. To adapt to the current demand for soil information, ISRIC is updating its enterprise data management system, including procedures for registering acquired data, such as lineage, versioning, quality assessment, and control. Data can be submitted, queried, and analysed using a growing range of web-based services - ultimately aiming at full and open exchange of data, metadata, and products - through the ICSU-accredited World Data Centre for Soils

Towards Sustainable Stewardship of Digital Collections of Scientific Data

The digital revolution has vastly increased the ability of the scientific community to collect and store a tremendous variety and quantity of data in digital form, representing a potentially irreplaceable legacy that can support scientific discovery and scholarship in both the present and the future. However, it is not yet clear what organizations or institutions can and should maintain and store such data, ensuring their long-term integrity and usability, nor how such longterm stewardship should be funded and supported. Many traditional information preservation and access institutions such as libraries and museums are struggling to develop the skills, resources, and infrastructure needed for large scale, long-term digital data stewardship. Government agencies often have strong technical capabilities, but are subject to political and budgetary pressures and competing priorities. Private organizations and companies can bring to bear innovations not only in technology but also in economic approaches that could provide financial sustainability. Developing long-term collaborative partnerships between different types of organizations may be one approach to developing sustainable models for long-term data stewardship. The development of objective criteria and open standards for trusted digital data repositories is another important step towards sustainable data stewardship. A critical challenge is the development of viable economic models for ensuring that the resources needed for long-term stewardship are put in place, while at the same time addressing the needs of the scientific community and society more generally for open access to scientific data and information resources. The development of a robust spatial data infrastructure can not only help reduce both the short- and long-term costs of data stewardship, but also provide a framework for the establishment and evolution of trustworthy data repositories that will be available for future generations of users to discover, access, and use the scientific heritage that is being created today

Executable Architectures Using Cuckoo Search Optimization Coupled with OPM and CPN-A Module: A New Meta-Architecture Model for FILA SoS

Understanding System of Systems (SoS) requires novel ways to apply systems engineering processes. Acknowledged SoS have recognized objectives, a designated manager and resources for the SoS. The goal of this research is to develop a proof of concept tool suite for Acknowledged SoS systems simulation. This suite is named flexible, intelligent and learning architectures for System of Systems (FILA-SoS). FILA-SoS assists the SoS manager in architecture generation, selection, and implementation working as an aid for decision making. Binary cuckoo search constrained optimization is used to generate meta-architectures which are evaluated by a fuzzy assessor for quality assurance. The architecture is then converted into an executable structure using Object Process Methodology (OPM) and Colored Petri Nets (CPN). A hybrid methodology comprising of OPM and CPN approach is implemented for simulating the acquisition environment. Initial application for a Search and Rescue (SAR) SoS, consisting of 25 individual systems with ten capabilities gave promising results

A Proposal on Using Reuse Readiness Levels to Measure Software Reusability

The use of scientific data is becoming increasingly dependent on the software that fosters such use. As the ability to reuse software contributes to capabilities for reusing software-dependent data, instruments for measuring software reusability contribute to the reuse of software and related data. The development and current state of a proposed set of Reuse Readiness Levels (RRLs) are summarized, and potential uses of the software reusability measures are described, along with proposed use cases to support sponsorship of software projects, software production, software adoption, and data stewardship during the systems development lifecycle and the data lifecycle

Computational intelligence based complex adaptive system-of-systems architecture evolution strategy

The dynamic planning for a system-of-systems (SoS) is a challenging endeavor. Large scale organizations and operations constantly face challenges to incorporate new systems and upgrade existing systems over a period of time under threats, constrained budget and uncertainty. It is therefore necessary for the program managers to be able to look at the future scenarios and critically assess the impact of technology and stakeholder changes. Managers and engineers are always looking for options that signify affordable acquisition selections and lessen the cycle time for early acquisition and new technology addition. This research helps in analyzing sequential decisions in an evolving SoS architecture based on the wave model through three key features namely; meta-architecture generation, architecture assessment and architecture implementation. Meta-architectures are generated using evolutionary algorithms and assessed using type II fuzzy nets. The approach can accommodate diverse stakeholder views and convert them to key performance parameters (KPP) and use them for architecture assessment. On the other hand, it is not possible to implement such architecture without persuading the systems to participate into the meta-architecture. To address this issue a negotiation model is proposed which helps the SoS manger to adapt his strategy based on system owners behavior. This work helps in capturing the varied differences in the resources required by systems to prepare for participation. The viewpoints of multiple stakeholders are aggregated to assess the overall mission effectiveness of the overarching objective. An SAR SoS example problem illustrates application of the method. Also a dynamic programing approach can be used for generating meta-architectures based on the wave model. --Abstract, page iii