Make your own data management plan

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1 Make your own data management plan Ali, Abdurhman Kelil, PhD University Library April 17, 2018 Learn how to manage your research data according to best practice!

2 Research Data Management Lifecycle Search / Reuse Processing Archiving

3 Research Data Management Lifecycle Planning

4 Learning outcomes Understand the purpose of a data management plan (DMP). Be able to write a DMP for your own research project that complies with requirements from funders like ERC and NFR.

5 What is a data management plan? A data management plan (DMP) is plan that documents how you are going to manage your research data during and after the project period. Created before project start, but usually revised during the project. Covers all phases in the Research Data Management Lifecycle: Search Collection Processing: analysis and storage Archiving and sharing

6 What is the purpose of a data management plan? Requested by research funders such as The Research Council of Norway (NFR) and The European Research Council (ERC). Requested by UiT, cf. Principles and guidelines for research data management at UiT, applicable from September 1, 2017: The researcher shall write a data management plan in an early phase of the project and preferably within six months of the start of the project. The data management plan may be revised if needed in the course of the project. This plan shall describe how data assessed as being of long-term value will be managed. Helps you to keep track on your data throughout the whole project. Helps you to save time and extra work later on.

7 The goal of Data Management Plan to make research data as "FAIR" as possible, i.e. Persistent identifier (DOI) Good metadata Indexed Well-defined & open protocols Adequate authentication Findable Accessible Documentation Clear user license Re-usable Interoperable Open metadata & file formats Standards metadata Consistent vocabulary

8 Typical aspects to be documented in a Data Management Plan

9 General information about the research project Project name. Description of project. Part of a larger research project? Funding Project leader and participants (name and institution)

10 Responsibilities and rights Who is responsible for follow-up and revision of the dmp? UiT policy: The project leader How will responsibilities be divided? External collaborators? Who has right to manage the data? Collect, structure, revision, processing, etc Who can access the data during the project? Use (view or download),but not manage Who has ownership to the data? UiT policy: UiT The Arctic University of Norway

11 Collecting/generating data What kind of data will be collected/generated? Sources? E.g., observations, simulations, interview Standards and methods for collection/generation? When will the data be collected/generated? What type of data? Text, image, numerical data, sound, etc Need for extra hardware or software? Need for special expertise? If there are data in this subject already, what are the possibilities for integration and reuse?

12 Documentation and metadata How will the data be documented? (ReadMe file) If metadata standards are used, which ones? What file formats will be used? What kind of folder structure and filename conventions will be used? Is special software for reading/interpretating the data necessary?

13 Storage and preservation during the project What are the procedures for backup, storage and archiving, and where will this be done? What are the expected file size for the data? Do you have sufficient storage possibilities or need for extra services? Who is responsible for backup and restoring the data? (IT Department if stored at UiT facilities) For collecting in the field, how will the data be safely transferred from the field to the main storage facility?

14 Archiving and sharing (1) Which data will be preserved and which will be destroyed? Will the data be long time preserved, and how is this decided? Will the data or a selection of the data be openly shared, and if so, which data? (UiT Policy: as a rule data shall be made openly available) If data will not be shared, what is the reason? Do the data need processing before they can be shared? Anonymization, convertion to preservable file formats.

15 Archiving and sharing (2) Where will data, metadata, documentation and code associated with the data be archived? (e.g. UiT Open Research Data) When will the data be made available, and how long will they be stored? (UiT Policy: as early as possible, no later than the date of publication) Will there be used any patents or licences, and if so, which ones? (UiT Policy: as few limitations as possible) Are there other conditions, restrictions or embargo on use?

16 Ethics and consent Special rules for personal sensitive data, e.g. consent, protection of participant identity. Ethics Portal UiT: Own course plan in collaboration with NSD.. Contact:

17 Templates for DMPs There are a range of templates for DMPs, depending on the type of project: (See > Plan your work with research data) Project subject to notification to NSD: NSD template Project funded by EU, Horizon 2020: DMPonline All other projects: UiT template For feedback you can send the completed plan to: research-data@support.uit.no

18 Fyll ut evalueringsskjemaet vårt! bit.ly\ubevalno Navn på underviser: Datagruppa Dato: Tittel på kurs: Forskningsdata TAKK OG LYKKE TIL!

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