Keywords: Open Source DataHubSystem (OS DHuS), Sentinels, ESA, Earth Observation (EO), Data Access, Data Dissemination, Interdisciplinary framework.

Today our global societies face grand challenges, scientific and societal transformation processes. The European Union will not remain competitive at the global level unless it promotes Open Science, and relatedly, Open Innovation. [1]
Open Science represents an approach to research that is collaborative, transparent and accessible.
Open access policies aim to provide researchers and the public at large with access to research data, open and trusted environment for the scientific community for storing, sharing and re-using scientific data and other research outputs free of charge in an open and non-discriminatory manner as early as possible in the dissemination process.
Open access helps enhance quality, reduce the need for unnecessary duplication of research, speed up scientific progress, help to combat scientific fraud, and can overall favour economic growth and innovation.
In this challenging scenario Open Source DataHubSystem (OS DHuS) represents an open and transparent framework that promotes collaborative and innovative research enabling the open and free access and the dissemination of EO data products.
This work describes the OS DHuS, an open source software developed by a European consortium (lead by Serco-Gael companies) to guarantee ESA Copernicus Sentinels data access[2][3]. The software, being open source is online in GitHub public repositories [4].
The OS DHuS framework is based on the principles of inclusion, fairness, equity, and sharing. It aims to make research more open to participation, review/refutation, improvement and (re)use for the scientific community to benefit.
The OS DHuS software architecture allows to add new modules to manage different type of data. In fact the software made to disseminate Sentinels data products, has been enriched with new modules (add-ons) to manage other missions as Landsat-8, CosmoSkymed, Pleiades. This paradigm allows to embrace new dispersed datasets, for example Earth Science data from heterogeneous fields like in situ data (i.e. ground stations, airborne sensors and sea-borne sensors) creating specific add-ons.
The OS DHuS has many new challenges: the platform that today allows to manage ESA Copernicus Sentinels data, tomorrow it will disseminate a lot of Earth Science datasets. This paradigm will allow enlarge and extending the target audience also to scientists, experts and researchers coming from outside of the space sector and to investigate the processing and exploitation services in the same framework .
Open Science approach offers an enormous potential for researchers to share knowledge, access and make use of data in a global network of communities.

[1] https://ec.europa.eu/research/openscience/index.cfm
[2] http://sentineldatahub.github.io/DataHubSystem/
[3]https://www.esa.int/Our_Activities/Observing_the_Earth/Copernicus
[4] https://github.com/SentinelDataHub/dhus-distribution/releases

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New data management technologies, artificial intelligence, block chain, cloud computing and cloud storage of information are making it possible to manage, share, process and analyze large volumes of data in near real time. Increasingly, remote sensing and other spatially referenced data are being incorporated into exploitation platforms where information from diverse data sources is combined to support decision making. These facts, plus the pace of development of new sensors and the networking of numerous independent sensors are all increasing the need for standards to support communication, processing, characterization and calibration of data from these sources. What is essential is that stakeholders work together in an open and transparent manner to achieve the shared goal of leveraging scientific research and practical experience to codify the optimum technological procedures and specifications for creation and application of new technologies.

As a leading world organization dedicated to advancing the scientific and technical theory and application of remote sensing for the geosciences, the IEEE Geoscience and Remote Sensing Society (GRSS) has convened a Technical Committee (TC) to define and promote standards that can improve the generation, distribution and utilization of interoperable data products from remote sensing systems. The GRSS Standards for Earth Observations TC has sponsored Projects that are working on standards for Hyperspectral Imagers (P4001), Synthetic Aperture Radar (P4002) and GNSS Reflectometry (P4003). The P4001 Project has subgroups working on Terminology, Testing/Characterization and Data Structures. P4002 is working on a common data model for SAR data while P4003 is working on metadata and encoding of GNSS-R data products. These projects are supported by experts from remote sensing companies, research institutions and national standards institutes.

Open Standards are developed through a transparent, consensus-based process that relies on volunteer efforts by subject matter experts. This presentation will describe and report on the progress each of the above projects has made to date, as well as report on the lessons learned in convening and shepherding the standards development process.

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