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<!DOCTYPE html><html lang="en" dir="ltr"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width,initial-scale=1,viewport-fit=cover"><link rel="apple-touch-icon" sizes="180x180" href="/static/icons/apple-touch-icon.png"><link rel="icon" type="image/png" sizes="32x32" href="/static/icons/favicon-32x32.png"><link rel="icon" type="image/png" sizes="16x16" href="/static/icons/favicon-16x16.png"><link rel="manifest" href="/static/icons/site.webmanifest"><link rel="mask-icon" href="/static/icons/safari-pinned-tab.svg" color="#f15a24"><link rel="shortcut icon" href="/static/icons/favicon.ico"><meta name="msapplication-TileColor" content="#da532c"><meta name="msapplication-config" content="/static/icons/browserconfig.xml"><meta name="theme-color" content="#ffffff"><meta property="og:site_name" content="Data Stewardship Wizard"><meta property="og:title" content="Enabling Seamless Data Management Planning within PaNOSC with DSW"><meta property="og:description" content="DSW's integration within the PaNOSC project has streamlined Data Management Planning (DMP) across various Research Infrastructures (RIs), exemplified by ESFR's creation of over 1150 DMPs with 60% auto-population. As more RIs consider making DMPs mandatory, the future holds the promise of machine-readable DMPs for enhanced data exploitation and knowledge graph development."><meta name="description" content="DSW's integration within the PaNOSC project has streamlined Data Management Planning (DMP) across various Research Infrastructures (RIs), exemplified by ESFR's creation of over 1150 DMPs with 60% auto-population. As more RIs consider making DMPs mandatory, the future holds the promise of machine-readable DMPs for enhanced data exploitation and knowledge graph development."><meta property="og:image" content="https://ds-wizard.org/static/ogimages/enabling-seamless-dmp-within-panocs.png"><meta property="og:image:width" content="1200"><meta property="og:image:height" content="627"><meta name="twitter:card" content="summary_large_image"><meta name="twitter:site" content="@dswizard_org"><link rel="canonical" href="https://ds-wizard.org/enabling-seamless-dmp-within-panocs"><link href="https://fonts.googleapis.com/css?family=Open+Sans:400,600,700&display=swap" rel="stylesheet"><link href="/style.css?3a503ea05dbbb41bd18cc8429779316f767b37a0" rel="stylesheet"><script async src="https://www.googletagmanager.com/gtag/js?id=UA-120469224-1"></script><script async src="/script.js?3a503ea05dbbb41bd18cc8429779316f767b37a0"></script><title>Enabling Seamless Data Management Planning within PaNOSC with DSW | Data 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Stories</strong><span>Explore how others use DSW</span></a></nav><nav><a href="/beyond-data-management-plans"><strong>Beyond Data Management Plans</strong><span>Learn how DSW has been used in other domains</span></a></nav></div><a data-menu-mobile="learn">Learn<i class="_29xnFyds_8cm7JdJwfZJcG vKhbeDQwrYj8Je2Xo28ig"></i></a><div class="_1CzfQ_ia3JL__Ju4Wj-1S2" data-submenu-mobile="learn"><nav><a href="https://guide.ds-wizard.org"><i class="_29xnFyds_8cm7JdJwfZJcG _271BS8BP1VRoQ6hUle8qo1"></i><strong>User Guide</strong><span>All you need to know about how to use DSW</span></a><a href="/video-tutorials"><i class="_29xnFyds_8cm7JdJwfZJcG _2ED4JI0dD-kwlUMl5RaaCE"></i><strong>Video Tutorials</strong><span>Learn about DSW by watching videos</span></a><a href="/resources"><i class="_29xnFyds_8cm7JdJwfZJcG _2P4nESJoGlcSsbcjWcfNb-"></i><strong>Resources</strong><span>Learn about DSW by reading publications</span></a></nav><nav><a href="/data-stewardship"><strong>What is Data Stewardship</strong><span>And how DSW can help with that</span></a><a href="/comparison"><strong>DSW Compared to Other Tools</strong><span>Features you might miss in other tools</span></a><a href="/dmponline-alternative"><strong>Switch from DMPonline</strong><span>Differences between DSW and DMPonline</span></a></nav></div><a href="/about">About</a></nav><a class="_16hc5mbEoiyyt9FEx63net WneDSunFAr8Iw2oRDXK0w _1_vdCTYM7rdLjCxYugvzE" href="/get-started">Get Started</a></div></div></header><div class="_1flhr9bAiw8sT7utrCndBy"><h1>Enabling Seamless Data Management Planning within PaNOSC</h1><div class="_2LNoYyou-u1zHeTSJVnx4b"><div class="_19ZFv002RNbvW1W1rN7UTC"><p>The <a href="https://www.panosc.eu/panosc-project/" , target="_blank" , rel="noopener">Photon and Neutron Open Science Cloud (PaNOSC) project</a> is a beacon of collaboration and innovation in the realm of scientific research infrastructure. Comprising various individual Research Infrastructures (RIs) including <a href="https://www.ceric-eric.eu/" , target="_blank" , rel="noopener">CERIC-ERIC</a>, <a href="https://eli-laser.eu/" , target="_blank" , rel="noopener">ELI-ERIC</a>, <a href="https://www.esrf.fr/" , target="_blank" , rel="noopener">ESRF</a>, <a href="https://europeanspallationsource.se/" , target="_blank" , rel="noopener">ESS</a>, <a href="https://www.xfel.eu/" , target="_blank" , rel="noopener">EuXFEL</a>, and <a href="https://www.ill.eu/" , target="_blank" , rel="noopener">ILL</a>, PaNOSC embarked on a mission to enhance the management of research data across multiple domains. The common goal shared by these RIs was to revolutionize Data Management Planning (DMP) for the benefit of both researchers and facilities.</p><p>In their quest for an effective DMP solution [<a href="https://doi.org/10.5334/dsj-2023-030" target="_blank" rel="noopener">1</a>], the PaNOSC project members recognized the need for a tool that could not only harmonize the DMP process across their diverse RIs but also seamlessly integrate within each facility's IT environment. The solution they discovered and adopted was the Data Stewardship Wizard (DSW). The choice of DSW was driven by its unparalleled flexibility, powerful Knowledge Model (KM) approach, ease of installation, and unwavering support from its developers.</p><p>DSW proved to be a suitable platform for PaNOSC, enabling them to standardize DMPs across the entire project while still accommodating the unique requirements of each facility. The implementation of DMPs using DSW provided PaNOSC facilities with several key advantages:</p><ul><li><strong>Efficiency</strong>: DSW pre-filled a substantial portion of DMPs, allowing facilities to save time and effort in DMP creation. The ESFR, for instance, succeeded in generating over 1150 DMPs, with approximately 60% of the content being auto-populated, signifying a significant leap in efficiency.</li><li><strong>Clarity for Users</strong>: DMPs offer researchers a clear understanding of what to expect from the facility, the data they will produce, and the tools available for data management. This clarity empowers users to navigate their research projects more effectively.</li><li><strong>Information Gathering</strong>: Facilities gained valuable insights into user needs for data management and processing, enabling them to plan resources more effectively.</li></ul><p>The implementation of DMPs and DSW has yielded remarkable outcomes. First of all, the establishment of a common DMP template has enhanced interoperability across facilities. Additionally, the development of a universal software for populating DSW facilitates seamless integration into RI's IT infrastructure. The ESRF stands out as a notable example, successfully implementing this integration. Other facilities are also reaping the benefits of streamlined DMP processes, even if some of them are still in the early stages of implementation.</p><figure><img src="/static/pages/enabling-seamless-dmp-within-panocs/architecture-dsw-esrf.png" alt="DSW in ESRF Architecture."><figcaption>Architecture and DMP data flow at the ESRF [<a href="https://doi.org/10.5334/dsj-2023-030" target="_blank" rel="noopener">1</a>].</figcaption></figure><p>Looking ahead, there is an exciting future for DMPs and DSW with use of outputs and experience from the PaNOSC project for making data FAIRer [<a href="https://doi.org/10.56367/OAG-040-10749" target="_blank" rel="noopener">2</a>] for the Photon and Neutron communities of Europe. The creation of community-specific templates to automatically generate DMPs for scientific projects is on the horizon. DMPs will evolve into machine-readable documents, facilitating the optimal exploitation of their content and supporting a broad range of applications. While some facilities have already made DMPs a mandatory step in their proposal workflows, others are considering the same, ensuring that DMPs will play an increasingly central role in the research process. DMPs will be used as a standard way of gathering information for building knowledge graphs in the new EU <a href="https://www.openaire.eu/ostrails" , target="_blank" , rel="noopener">project OSTrails</a>.</p><p>In summary, the PaNOSC project's journey with DSW is a testament to the transformative power of collaboration and the effectiveness through machine-actionability of modern tools in research data management. With DSW, the project has not only streamlined data management but also laid the foundation for a future where research data is efficiently harnessed to advance science.</p><p><strong>Marjolaine Bodin</strong>, European Synchrotron Radiation Facility (ESRF)</p><h2>References</h2><ol><li>Bodin, M., Bolmsten, F., Aulin, P., Ivănoaica, T., Olivo, A., Malka, J., Wrona, K. and Götz, A., 2023. Data Management Plans for the Photon and Neutron Communities. <em>Data Science Journal</em>, 22(1), p.30. DOI: <a href="https://doi.org/10.5334/dsj-2023-030" target="_blank" rel="noopener">https://doi.org/10.5334/dsj-2023-030</a>.</li><li>Götz, A., 2023. Data Management Plans as a Tool for Making Data FAIR. <em>Open Access Government</em>, October 2023, p.246-247. 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