How to share research data
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1 How to share research data University Library, UiT Fall 2018 Research UiT
2 Learning objectives Part 1 Why share data? What are the important criteria in choosing a data archive? Part 2 Learn about UiT s institutional archive for research data. Know where to get assistance if your data cannot be open.
3 Data sharing in the life cycle of research data management Has anyone archived and/or shared research data?
4 Research data sharing: why? Increase the impact & visibility of your research. Enable data reuse for research & innovation. Get credit. Find new collaborations. Ensure future access to data. Encourage improvement & validation of research methocs. Fulfill data sharing requirements. Research Data Service, University of Edinburgh
5 Requirements and expectations EU, Horizon 2020 As open as possible, as closed as necessary H2020 Programme: Guidelines on Open Access to Scientific Publications and Research Data in Horizon 2020 Research Council of Norway Open by default Open Access to Research Data Norwegian Ministry of Education and Research Basic principle 1: Research data must be as open as possible, as closed as necessary. Basic principle 2: Research data should be managed and curated to take full advantage of their potential. Basic principle 3: Decisions concerning archiving and management of research data must be taken within the research community National strategy on access to and sharing of research data
6 Requirements and expectations UiT The Arctic University of Norway The researcher shall make the research data openly available for future use by all relevant users, providing this is not prevented by any legal, ethical, security, or commercial reasons. Principles and guidelines for research data management at UiT
7 Requirements and expectations
8 When and where does one share data? When Scientific publications: Not later than at the time of publication Other data: Not later than 3 years after the project has ended Where Permission to exploit and/or publish the research data shall not be granted to commercial parties without UiT retaining the rights to make the data openly accessible for reuse. Therefore: Reliable archives where UiT is ensured access to data.
9 What shall you share? The research group must decide what is worth archiving/sharing. Have you had discussions about this in your research group? What challenges can there be? More than one person involved (agreement on what to share) More than one repository (agreement on where to share) What kind of support would be useful in such processes? Who could deliver this support? Colleagues? Supervisors? Research administration? University library? IT? These issues can be addressed while working on a data management plan.
10 How to choose an archive? 33% of researchers in a study by SpringerNature (N = 7700) stated choice of archive as a big challenge and an obstacle to sharing data. (Stuart et al., 2018)
11 Is the data archive reliable? Is it listed in re3data? Is it broadly recognized in your research field? Is it endorsed by a relevant funder or journal? Is it certified? (Whyte, 2015)
12 Will the archive take the data you want to deposit? Accepts research data regardless of the data type or domain Focuses on data types or domains similar to that which you have to deposit Has an international reputation in the domain, or for publishing similar data Data may need to meet certain criteria such as: data, study type, file format, etc (Whyte, 2015)
13 Will the data be safe in legal terms? Can you save sensitive data there, or will it be against regulations? Will UiT have access to and ownership of the data saved in that repository? Do datasets have a license? Do you get the option of confirming that data collection/generation has been performed in accordance with the legal & ethical criteria in your country & discipline? Can you add (necessary) access limitations (permanent or temporary)? Whyte, 2015
14 Will the archive sustain the value of the data? FAIR-principles: Findable, Accessible, Reusable, Interoperable Metadata publishing: obligatory vs. optional Stable identifiers (e.g. DOI): datasett vs. subdataset/files Discoverability via search Format check and preservation planning Linking to other, related publications Version control Whyte, 2015
15 Will the archive support analysis and track data usage? Can you find the dataset by using standardized metadata? Can you get information about page views and downloads? Whyte, 2015
16 Find an archive for your data More than 2000 data archives Multidisciplinary search engine A lot of information about the archives: terms of use, standards, persistent identifiers, software, version control, etc.
17 Filter by subject
18 Lists with general information and icons indicating accessibility, certification, identifier, etc.
19 Terms: Information about policies, data access and licenses
20 Standards: Information about PID, version control, guidelines for data citation
21 Norwegian archives and other services for research data management en_access_to_research_data/
22 About the service Launched September 1, 2016 A data archiving service for archiving, sharing, reusing, and citing research data. Available for upload to all employees and students at UiT via Feide login Available to all for download and reuse Built on the international platform Dataverse, part of a global network Responsibilities Policy: Department of Research and Development User support, dataset curation: University library Login, servers, back-up: IT Dept Links Repository: opendata.uit.no User guides: info.dataverse.no
23 automatically generated reference version control persistent identifier (DOI) opportunity for temporary lock on files (eg. up to publication date of article) possibility for giving reading/editing access before publishing (e.g. for peer review, in collaborative projects)
24
25 Types of data in UiT Open Research Data Repository for open data Researcher has the responsibility to check whether the data can be openly accessible. Intention when archiving must be full sharing of data. Some data files may be locked/embargoed for a given period. Repository for all types of open data Researcher has the responsibility to decide what should be archived: raw data, processed data, published data (see Borgman, 2015)
26 Archiving with limited access UiT All research data shall be made openly accessible. Exceptions: matters of security, personal privacy, commercial or legal nature. (Principles and guidelines for research data management at UiT, 2017). Services for all types of data will be established by Norwegian Center for Research Data Data sets that are published with data on NSD's website are freely available for downloading by users. Data sets that are published without data are made accessible on application to NSD and, in some cases, following the consent of the researcher/producer. Separate rules apply to loans of personal data. ( Unsure about where to archive your data? Contact us at
27 Are you sitting on «old» data? Do you have previously collected (and processed) data that you want to archive and share? Contact for tips on good and efficient data management.
28 forskning.no Data by senior scientists in your research group? Seniorprosjektet 3-year project Support for preparation of data for preservation Focus on senior scientists Contact
29 Fill out our short evaluation form! skjema.uio.no/ubevalen Thank you and good luck!
30 References Borgman, C. (2015). Big data, little data, no data: Scholarship in the networked world. Cambridge, MA: MIT Press European Commission. (2017). Guidelines to the Rules on Open Access to Scientific Publications and Open Access to Research Data in Horizon Version 3.2. Hentet fra Kunnskapsdepartementet. (2017). Nasjonal strategi for tilgjengeliggjøring og deling av forskningsdata. Hentet fra Norges forskningsråd. (2017). Tilgjengeliggjøring av forskningsdata (revidert 2017). Hentet fra Stuart, D, Baynes, G., Hrynaszkiewicz, I., Allin, K., Penny, D., Lucraft, M., Astell, M. (2018). Practical challenges for researchers in data sharing. UiT Norges arktiske universitet. (2017). Prinsipper og retningslinjer for forvaltning av forskningsdata ved UiT. Hentet fra Whyte, A. (2015). Where to keep research data. DCC checklist for evalutating data repositories. V1. Edinburgh: Digital Curation Centre. Hentet fra All pictures: Colourbox
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