EUDAT receives funding from the European Union's Horizon 2020 programme - DG CONNECT e-Infrastructures. Contract No Data Management Planning Sarah Jones Digital Curation Centre This work is licensed under the Creative Commons CC-BY 4.0 licence

Introduction to Data Management Planning Horizon 2020 and the Open Research Data pilot DMPonline and EUDAT support for DMPs Overview

INTRODUCTION TO DMPS Image CC-BY-NC-SA by Ralf Appelt

What is a data management plan? A brief plan written at the start of a project to define: how the data will be created? how it will be documented? who will access it? where it will be stored? who will back it up? whether (and how) it will be shared & preserved? DMPs are often submitted as part of grant applications, but are useful whenever researchers are creating data.

How do DMPs help researchers? Planning is useful whether or not a DMP is submitted with a grant application, as it can help the researchers to… 1Make informed decisions to anticipate and avoid problems 2Avoid duplication, data loss and security breaches 3Develop procedures early on for consistency 4Ensure data are accurate, complete, reliable and secure 5Save time and effort to make their lives easier!

Benefits of DMPs for institutions Opportunity to engage with researchers and improve RDM practice Raise awareness of support available Collate information to inform service delivery Ensure the University is not exposed to risk Ability to recover costs via grants

Which UK funders require a DMP? overview-funders-data-policies n.b. Although the EPSRC doesn’t ask for a DMP in grant applications, it still expects one to be in place for every project

Some other funders that require DMPs

What do research funders want? Usually a brief plan submitted in grant applications, and in the case of NERC, a more detailed plan once funded The Horizon 2020 pilot is different as DMPs are deliverables to be submitted during the project 1-4 sides of A4 as attachment or a section in application form Typically a prose statement covering suggested themes An outline of data management and sharing plans, justifying decisions and any limitations

Different stages of a DMP Outline DMP Basic, short plan Answer a few questions Written at grant application stage Full DMP Detailed plan Define procedures Written in conjunction with data centres

DCC Checklist for a DMP The DCC assessed existing funder requirements, DMP templates and other best practice to see what should be included in plans. This was synthesised down into common themes and questions. 13 questions on what’s asked across the board Prompts / pointers to help researchers get started Guidance on how to answer /resource/DMP_Checklist_2013.pdf

Common themes in DMPs 1.Description of data to be collected / created (i.e. content, type, format, volume...) 2.Standards / methodologies for data collection & management 3.Ethics and Intellectual Property (highlight any restrictions on data sharing e.g. embargoes, confidentiality) 4.Plans for data sharing and access (i.e. how, when, to whom) 5.Strategy for long-term preservation Start planning and communicating early

Example plans 108 DMPs from the National Endowment for the Humanities (USA) plans-successful-grant-applications now-available 20+ scientific DMPs submitted to the NSF (USA) provided by UCSD management/dmp-samples.html 2 Rural Economy & Land Use (RELU) programme examples (UK) Further examples: examples

DCC support on DMPs Checklist on what to cover in DMPs Webinars and training materials How-to guides and other advisory documents Example DMPs DMPonline data-management-plans

HORIZON 2020 REQUIREMENTS CC-BY-NC-SA by Tom Magllery

Why open access and open data? “The European Commission’s vision is that information already paid for by the public purse should not be paid for again each time it is accessed or used, and that it should benefit European companies and citizens to the full.” data/ref/h2020/grants_manual/hi/oa_pilot/ h2020-hi-oa-pilot-guide_en.pdf

Open Science in Horizon 2020 Mandated to deposit machine-readable electronic copy of paper in repository by the date of publication Ensure OA via green/gold routes Embargo of 6 months (STEM) or 12 months (HSS) allowed Bibliographic metadata must be made openly available Aim to deposit research data Peer-reviewed publicationsResearch data Pilot for projects in named areas. Other can participate voluntarily. Applies to research data underlying publications, plus any other data as decided by project. Participants must: – Write a DMP as a project deliverable – Deposit data in a repository – Make it possible for others to access, mine, exploit and reuse the data – Share information on the tools needed

Open Research Data (ORD) Pilot Pilot focuses on research data specifically 'Research data' refers to information, in particular facts or numbers, collected to be examined and considered and as a basis for reasoning, discussion, or calculation. In a research context, examples of data include statistics, results of experiments, measurements, observations resulting from fieldwork, survey results, interview recordings and images. The focus is on research data that is available in digital form. Guidelines on Open Access to Scientific Publications and Research Data in Horizon 2020, v.2.1, 15 February 2016, p3

Which data does the pilot apply to? Data, including associated metadata, needed to validate the results in scientific publications Other curated and/or raw data, including associated metadata, as specified in the DMP Doesn’t apply to all data (researchers to define as appropriate) Don’t have to share data if inappropriate – exemptions apply

Key requirements of the open data pilot Beneficiaries participating in the Pilot will: Deposit data in a research data repository of their choice Take measures to make it possible for others to access, mine, exploit, reproduce and disseminate the data free of charge Provide information about tools and instruments necessary for validating the results (where possible, provide the tools and instruments themselves)

Approach: as open as possible, as closed as necessary Image: ‘Balancing rocks’ by Viewminder CC-BY-SA-ND

Data Management Plans Projects participating in the pilot will be required to develop a Data Management plan (DMP), in which they will specify what data will be open. Note that the Commission does NOT require applicants to submit a DMP at the proposal stage. A DMP is therefore NOT part of the evaluation. DMPs are a deliverable for those participating in the pilot.

DMPs are a project deliverable for those participating in the open data pilot. Not a fixed document – should evolve and gain precision – Deliver first version within initial 6 months of project – More elaborate versions whenever important changes to the project occur. At least at the mid- term and final review. Info on RDM: what and when PROPOSAL STAGE IN PROJECT Where relevant*, H2020 proposals can include a section on data management which is evaluated under the criterion ‘Impact’ What types of data will the project generate/collect? What standards will be used? How will this data be shared/made available? If not, why? How will this data be curated and preserved? * For “Research and Innovation actions” and “Innovation Actions”

Initial DMP (at 6 months) The DMP should address the points below on a dataset by dataset basis: Dataset reference and name Data set description Standards and metadata Data sharing Archiving and preservation (including storage and backup)

More elaborate DMP Scientific research data should be easily: 1. Discoverable Are the data discoverable and identifiable by a standard mechanism e.g. DOIs? 2. Accessible Are the data accessible and under what conditions e.g. licenses, embargoes? 3. Assessable and intelligible Are the data and software assessable and intelligible to third parties for peer- review? E.g. can judgements be made about their reliability and the competence of those who created them? 4. Useable beyond the original purpose for which it was collected Are the data properly curated and stored together with the minimum software and documentation to be useful by third parties in the long-term? 5. Interoperable to specific quality standards Are the data and software interoperable, allowing data exchange? E.g. were common formats and standards for metadata used?

DMPONLINE FOR DMPS Image ‘tools’ CC-BY by zzpza

A web-based tool to help researchers develop and maintain data management plans A short history Launched in April 2010 at the Jisc conference Released v.2 in March 2011 with extra functionality Released v.3 in April 2012 with revisions in light of the DMPTool and work from the Jisc MRD programme Released v.4 in Dec 2013, incorporating major changes from an evaluation and extensive user testing Subsequent point releases in to add new features What is DMPonline?

Main features in DMPonline Templates for different requirements (funder or institution) Tailored guidance (funder, institutional, discipline-specific) Ability to provide examples and suggested answers Supports multiple phases (e.g. pre- / during / post-project) Granular read / write / share permissions Customised exports to a variety of formats Shibboleth authentication

How the tool works Click to write a generic DMP Or choose your funder to get their specific template Pick your uni to add local guidance and to get their template if no funder applies Choose any additional optional guidance

Organisations can customise DMPonline Organisations can: Add templates Different types of questions Local guidance with links to support and services Example or suggested answers Add questions & guidance to funder templates Include their own logo and text in a banner …

How EUDAT can help

EUDAT support for DMPs Providing custom guidance in DMPonline Potential for example / suggested answers Data services to help implement DMPs Plan to connect DMPonline with Data Project Coordination Portal to generate service requests EUDAT DPCP Researcher answers questions in DMPs Service request information is automatically transferred to DPCP Resources are allocated

Thanks – any questions