Good planning is vital for reducing the risk of data processing errors. The greatest risk is associated with the start-up phase (collection, conversion, encryption and transmission) before the data is stored on a well-secured processing solution.
Input and advice early in the planning phase is important, especially when it comes to data management / processing.
The research topic determines the procedures for methodology and ethical guidelines. See research ethics, responsibility distribution and guidelines at OsloMet.
Consent statements ad information letters (guidelines, templates, forms).
The Research Council has adopted a policy and guidelines for open access to publicly funded research data.
"The main principle in the guidelines is clear: Research data must be shared. Research data must "ultimately [...] be available to relevant users, under the same conditions, at the lowest cost. The fact that the research council now clarifies its policy through guidelines for open access and data sharing is very important for the work of building national research data archives and common data services for Norwegian research. "(From "Research data must be shared", nsd.no)
The Research Council's policy and strategy for sharing data (to be reviewed in 2017 in accordance with the platform of knowledge provided by the Research Council to the Ministry of Education) (.pdf, 1,57 MB).
How research data is managed in concrete terms depends largely on the individual research project.
It is critical that research data is managed correctly and in compliance with laws and regulations.
Data belonging to a given institution may be reserved for the institution's employees, or shared with other researchers under certain conditions.
It is important to have a good planning to reduce the risk of wrong data management. The greatest risk is associated with the start-up phase (collection, conversion, encryption and transmission) before data is stored on a well-secured storage site.
Violation of guidelines and laws for research data management may result in conviction, fines and damaged reputation for the researchers and OsloMet.
Input and counseling early in the planning phase is important, especially when it comes to data management / processing.
Contact email@example.com to discuss data management in as early stage as possible in potential and initiated projects.
All must go through a risk and value assessment upon start-up.
All projects that deal with sensitive data must use the solution TSD 2.0 Service for sensitive data.
Best practices depend on the field of research. The faculty of health sciences has different guidelines for data management than the faculty of social science.
Medical and health research projects, general research biobanks and exemption from the duty of confidentiality for other types of research must be pre-approved by REK.
The R&D advisor at your faculty or centre will be able to advise about relevant guidelines for your specific research project.
The data management plan must state how the research data will be collected, stored and shared. Data management plans vary in range and level of detail depending on the specific research project and according to what the different financiers require.
The Norwegian centre for research data (NSD) has opened available data sets for personal data, regional data, institutional data, data about the political system and portal for educational research.
The Norwegian Institute for Public Health provides data for research and analysis. Here you will find an overview of health records, health surveys and biobanks as well as practical information about the application process.
Statistics Norway (SSB) has made an overview of data sets which also states who may order data, which authority may grant exemption from the duty of confidentiality and the legal basis for the duty of confidentiality.
For access to data from Statistics Norway (SSB), go to its website Data for research. It shows what you need to do to borrow data. Statistics Norway grants microdata to research projects and has data relating to persons, businesses and enterprises.
SPSS, a tool for statistical analysis, data management and documentation.
FoU-support statistic and method (in Norwegian only).
The UH-sector has made a proposal for data processing agreement under new privacy legislation (GDPR, which will enter into force on 1 July 2018). Here is an engelish version too. This data processor agreement template is to be used, but has to be customized in each case. There is also made a checklist for data processing agreements (in Norwegian only). The checklist can be used for the quality assurance of data processing agreements offered by providers of cloud services or other types of online services.
A data processor agreement is an important legal document that must be in place as early as possible. Keep in mind that project participants such as interpreters, transcription assistants and research assistants are considered as data processors, if they are from outside the institution, and must consequently sign OsloMet's data processor agreement on how personal data should be processed. The Data processing Agreement must be filed in P360. See The Norwegian Data Protection Authority's guidelines for data processor agreement (in Norwegian only). Case number must be communicated to the Data Protection Ingridj@oslomet.no.
In Norway: Transferring research data to other organisations in Norway, procedures and step by step.
Abroad: Transferring research data abroad, procedures and step by step.
Norsk senter for forskningsdata (NSD) har åpent tilgjengelige datasamlinger for individdata, regionaldata, institusjonsdata, data om det politiske system og portal for utdanningsforskning.
Folkehelseinstituttet tilbyr data for forskning og analyse. Her finner du oversikt over helseregistrene, helseundersøkelser og biobanker og praktisk informasjon om søknadsprosessen.
Statistisk sentralbyrå (SSB) har en nettside om Data til forskning som viser hva du må gjøre for å låne data. SSB låner ut mikrodata til forskningsprosjekter (microdata.no), og har data knyttet til personer, virksomheter og foretak.
Er dine strukturerte data selvforklarende ut fra de variabelnavn, koder og forkortelser som er tatt i bruk? Du bør sørge for metadata på både prosjektnivå, datasettnivå og variabelnivå.
Best practices er avhengig av forskningsfelt. Helsefag har andre retningslinjer til datahåndtering enn samfunnsfag.
Medisinske og helsefaglige forskningsprosjekter, generelle forskningsbiobanker og dispensasjon fra taushetsplikt for annen type forskning skal forhåndsgodkjennes av REK.
Personvernrådgiver FoU ved ditt fakultet eller senter kan rådgi om retningslinjer for ditt spesifikke forskningsprosjekt.
Hvordan forskningsdata skal samles, lagres og deles skal dokumenteres i datahåndteringsplanen. Datahåndteringsplaner varierer i omfang og detaljnivå ut fra hvert forskningsprosjekt og etter hva de ulike finansiørene krever.
Sikresiden.no har utviklet kurs, både på norsk og engelsk, med korte leksjoner som tar 3-5 minutter å gjennomføre, blant annet innen "Personvern (GDPR) og etikk i forskning". De 7 leksjonene innen personvern er også tilpasset OsloMet, se lenker i boksen OsloMet.