1. GEO Work Plan Symposium 2014 Data Management Task Force

2. Interoperability Principles  GCI Data Sharing Principles  GEOSS Data CORE Regional/National approaches: US National Strategy for Civil Earth Observation, EC H2020 OpenPilot,.. Various initiatives at Regional/International level: RDA, Belmont Forum, CODATA, ESFRI, UNGGIM … Some work already done by GEO Tasks: Data Sharing Working Group, Q4EO, GEOViqua, … Towards a robust GEOSS Information System? Data Management Principles  ????

3. Data Management: IIB view Rationale –Data management is progressing on a number of fronts (e.g. processing, validation, quality control, modelling, visualization), however the development and implementation of best practices for data management vary a lot from country to country and organization. Recommended Actions for GEO Plenary X to –Establish a Task-Force to draft GEOSS Data Management Principles that would complement the GEOSS Data Sharing Principles and be accepted at the GEO-XI Plenary.

4. Following deliberations at GEO-X Plenary, GEO is establishing a Task Force to draft GEOSS Data Management Principles for submission to the GEO-XI Plenary. The Principles cover the entire data life cycle from planning, to acquisition, quality assurance, documentation, access, archiving, preservation and answering user needs. Nominations should reach the GEO Secretariat by 5 May 2014.

5. TF objectives The DMP TF is convened to work with GEO collectively, including the Implementation Boards, the DSWG and related WP Tasks to develop principles for: – ensuring that data are properly managed, accessible, archived and long term preserved –ensuring that data are properly documented, quality controlled and quality assessed, delivered, and updated in ways that facilitate access and re-use of information made available through the GCI – facilitating the link between user needs and data availability, especially with regard to the needs of users from developing countries ( e.g. by identifying existing sources of requirements already approved by the relevant user community) –facilitating interoperability of GEOSS data resources by promoting a progressive harmonisation/standardisation of content (data models, thesauri, coding list,..) and dissemination and usage rights in order to facilitate their re-use at global or regional scales

6. Draft Data Management Principles 1.Ensure long time data preservation and distribution 2.Ensure the quality information of EO data 3.Answer the EO user need These principles have been initially drafted by the GEO Infrastructure Implementation Board. It will be the responsibility of the DMP TF to review the principles, assess feasibility and eventually propose a new formulation.

7. GEO Work Plan Symposium 2014 Round Table Discussion

8. Question 1 Good progress has been made in reducing data-sharing barriers but, as mentioned by the Director of the Secretariat yesterday, it is important that data are professionally maintained. This implies proper management of data across space, time and themes and a mechanism to define priority data and to invest resources for them. Which are the main challenges to sustain flows of data of appropriate quality and where GEO should focus?

9. Question 2 Data access, doesn’t correspond necessarirly to data usability. We need to move from data to end user products. An initiative to develop a GEO knowledge base has been presented yesterday. To deploy solutions there are different ways, e.g by developing apps, connecting services, … Which is for you the most appropriate approach for GEO?

10. Question 3 Crowdsourced data (citizen science) are more and more being considered as an important source for decision making. We quickly move from in-situ data used only for validation towards in-situ data used directly for integrated assessment and decisions. In order to exploit these data we should to be able to connect to new infrastructures such as social media (twitter, face book, …) or sensor networks. We should also reinforce are “Analytical” capacities (BigData) to be able to deal with variety, volume, velocity and veracity of these data. What GEO should do to be able to deal with these additional data streams ?