Wat is ORCID?

“Open Researcher en ContributorIdentifier”

Een unieke identifier (ORCID ID) waarmee onderzoeksgegevens (affiliaties, publicaties, funding,…) betrouwbaar aan een onderzoeker doorheen de volledige carrière gekoppeld kunnen worden

Voor wetenschappers, door wetenschappers

Voor evaluatie en visibiliteit

Gemakkelijke en snelle registratie via: https://onderzoekersid.uhasselt.be/OAuth

Research Data Management (RDM) &Responsible Research (RR)

Overview

1. What? Why? How?

2. FWO requirements

3. EU requirements

4. UHasselt state-of-affairs

1. What? Why? How?

What is research data?= All data (physical and digital) generated or collected byresearchers in the context of their research, regardless their form or method.

- Raw datasets

- Self-generated and edited data

- Secundary data obtained from third parties

Eg. Notes, surveys, images, photo’s, objects, audiovisual files, spreadsheets, databases, statistical data, simulation data, software, biological material, artefacts, personal data, patiënt records,…

Hypothesis

Research data

Publications

Valorization

What is Research data management?

“Research data management concerns the organisation of data, from its entry to the research cycle through to the dissemination

and archiving of valuable results.”(Whyte et al. 2011)

(Amez et al. 2017)

RDM Life Cycle

Plan

Create & collect

Process, Exchange &

Analyze

Archive & Share

Discover andre-use

In accordance withguidelines

on Responsible Research:Research Integrity & Ethics

Which research data? Research data, generated or collected as result of a completed

experiment/analysis, of which the content is important for:

(Re)Use

Verification

Data collection

Research results that are an integral part of a research publication of a patent application must be always be stored.

Why research data management?Because you have to Required by funder: EU (H2020), FWO, … Legal obligations

Because you benefit from it Save time and increase efficiency Discovery of interesting datasets Re-use, reproduction and share Get your data citations Keep your data safe

Because you care about good science Scientific integrity Societal benefit & impact

Why RDM? Legal obligations on RRI affecting RDM GDPR (General Data Protection Regulation)

Enters into force May 25th 2018 Protection of personal data Processing and/or collecting

Personal data : any information relating to an identified or identifiable natural person (‘data subject’); An identifiable natural person is one who can be identified,

directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that natural person, …

Image: http://logonoid.com/handle-with-care-logo/

Personal data (GDPR)Anonymization Try to work as much as possible with anonymous research data

Pseudonomization Pseudomize personal data so it can no longer be linked to a natural

person without the use of additional information. Additional information on the pseudonimized data (metadata) must be kept separately and specific measures are taken to ensure that personal data can not be linked to an identified or identifiable natural person.

Personal data(GDPR)Encryption Some (personal) data can be encrypted, translated into another form

or code, so that it can only accessed with a decryption key or password.

The necessary decryption keys and passwords need to be stored separate form the research data.

Contact: privacy@uhasselt.be

Image: http://windowsitpro.com/security/hiding-data-data (‘figure 1’)

Why RDM? Legal obligations on RRI affecting RDM The Nagoya Protocol (NP) and Access Benefit Sharing-legislation

Guard the fair access and utilization of genetic resources or traditional knowledge associated with genetic resources sourced from environments in situ as well as ex situ

Use of genetic material: plants, animals, micro-organisms or derivates thereof Also includes traditional knowledge Not for human materials!

For research and development

Materials coming from countries party to the Nagoya Protocol

Image: https://www.absfocalpoint.nl/en/absfocalpoint.htm

Why RDM? Legal obligations on RRI affecting RDM

Contact: Nagoya@uhasselt.be Identify partner organisation of provider Check for NP – national legislation Check for permission and Prior Informed Consent (PIC) Identify Competent National Authority Negotiate Mutually Agreed Terms (MAT)

Why RDM? Legal obligations on RRI affecting RDM Dual use & Misuse

‘Dual-use items’ are products, including software and technology, which can be used for both civil and military purposes, including all goods which can be used for non-explosive purposes and assist in any way in the manufacture of nuclear weapons or other nuclear explosive devices.

‘Misuse’ refers to research (results) that could be misused for unethical purposes

Image: Copyright European Coordination of Committees and Associations for Palestine. All Rights Reserved.

Contact dualuse@uhasselt.be Visit website (brochure!) Check flowchart for necessary steps

Why RDM? Legal obligations on RRI affecting RDM

How to implement RDM in your research?

RDM Life Cycle

Plan

Create & collect

Process, Exchange & Analyze

Archive & Analyze

Discover and re-use

Data management planning

FWO

EU H2020

When What Where

Application 5 DMP-related questions e-loket

6 months > start DMP DMPonline.be & send to FWO & DOC

Project end Finalize DMP DMPonline.be & send to FWO & DOC

When What Where

Application DMP DMPonline.be & send to EU & DOC

2. FWO requirements

FWO requirements

When What Where

Application 5 DMP-related questions e-loket

6 months > start DMP DMPonline.be & send to FWO & DOC

Project end Finalize DMP DMPonline.be & send to FWO & DOC

FWO requirements

FWO – DMP related questions1. Describe the datatypes (surveys, sequences, manuscripts, objects, … ) the research will collect/generate or (re)use?

Will you reuse existing data, generate new data or do both? Will you be working with personal data?

Make a list of all data types (interviews, samples, observations, manuscripts, experiments, models, …) that you will be using during the project. Also provide information on data formats (the technical characterization of the data). Each data type comes in one of more data formats (e.g. textual data type = .txt format; numerical data = .csv)

If possible, estimate the expected total volume of data, this will be indicative of whether you will need a budget for data storage or preservation.

FWO – DMP related questions2. Are the following provisions in place in order to preserve thedata during at least 5 years after the end of the research?

A. Designation of responsible personIn case FWO wants to contact someone with questions on the long-term preservation of the data, who can be contacted?

B. Storage capacity/repository (during & after research)Not all data should or can be kept beyond the lifetime of a project. Data that should be kept are, in decreasing order of significance:

1. data crucial for the verification of research results2. data that cannot be reproduced3. data obtained at great costs of time & money4. data of scientific value to others, incl. your own research unit

FWO – DMP related questions2. Are the following provisions in place in order to preserve thedata during at least 5 years after the end of the research?

B. Storage capacity/repository (during & after research)

In view of the type, format and estimated volume of the data, will you be able to guarantee safe and secure storage during the project and for at least 5 years after the end of the project? It is good practice to already mention where the data will be kept.

1. UHasselt is preparing an institutional repository2. Discipline-specific repositories as advised by Nature, PLoS,F1000 (section 4.1.)3. General repositories: Harvard's Dataverse ; EUDAT's B2Share;Figshare; Zenodo; Open Science Framework

You can also do more than passively archiving the data and opt to share/publish your data. Make sure you are in agreement with all legal obligations and that your data can be shared in the frame of possible valorizations projects (techtransfer@uhasselt.be).

FWO – DMP related questions3. Is there a reason why you wish to deviate from the principle of preservation of data and of the minimum preservation term of 5 years?

Legal restrictions: unanonymised personal data can never be kept longer than is strictly necessary, and in accordance with the informed consent of participants

Contractual restrictions: when you reuse data from 3rd parties, the latter may not allow you to keep the data beyond the project’s lifetime

FWO – DMP related questions4. If issues concerning research data are indicated in the ethicsquestionnaire of this application form, will those data requirespecific security measures? If yes, can they be put in place.

For all projects that work with unanonymised personal data, with human participants, animals or data with a dual use potential this section should receive an answer. To all sensitive data (unanonymisedpersonal or data with dual use potential) stringent security measures relating to storage and access apply. Provide a short description on how this can be guaranteed by the project/the host institution.

FWO – DMP related questions5. Are there other issues related to the data management youthink relevant to mention?

FWO is eager to receive feedback to update its guidance or research data management policy.

3. EU requirements

EU requirements

When What Where

Application DMP DMPonline.be & send to EU & DOC

DMPonline.be

DMPonline.be

4. UHasselt state-of-affairs

Information on www.uhasselt.be/Responsible-research

UHasselt support on RDM & RRI

Webpage (RDM & RRI)

University RDM policy (in preparation) Disciplinary guidelines (practical guide; in preparation)

DMPonline.be (currently only H2020 template!, FWO template in prep.)

Tools and support for data storage Data repository and archive (in preparation)

Discipline-specific repositories General repositories

Training courses (in preparation)

Assistance on:

Legal RRI and ethical aspects Hanne Elsen GDPR privacy@uhasselt.be Nagoya Protocol nagoya@uhasselt.be Dual Use dualuse@uhasselt.be

Legal valorization aspects techtransfer@uhasselt.be

Data management plan Sadia Vancauwenbergh Tools & infrastructure Sadia Vancauwenbergh

General contact: RDM@uhasselt.be

Links

https://www.uhasselt.be/Responsible-research

https://dmponline.be/

http://www.fwo.be/en/the-fwo/organisation/data-management-plan/

http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf

https://www.nature.com/sdata/policies/repositories

References(Amez et al. 2017) - Amez, L., De Voecht, M., Elsen, H., Hanus, J., Mertens, M., Vancauwenbergh, S., Vanheverbeke, H. (2017). ‘Geen doel in zichzelf, Onderzoeksdatamanagement aan Vlaamse universiteiten’. Thema 3-2017. Dordrecht: Instondo B.V.

(Cummings, 2015) – Cummings, R. (2015) ‘Research data management and sharing for social and behavioral sciences and humanities’. J. Willard Marriott Library. https://www.slideshare.net/RebekahCummings/research-data-management-and-sharing-for-the-social-sciences-and-humanities (slide 37-40)

(Higman, 2017) - Higman, R. (2017). ‘How NOT to share your data: avoidingdata horror stories’. Zenodo. http://doi.org/10.5281/zenodo.400982

(Whyte et al. 2011) - Whyte, A., Tedds, J. (2011). ‘Making the Case for Research Data Management’. DCC Briefing Papers. Edinburgh: Digital Curation Centre. Available online)