Learning from Surveys Starting from a case study

  • Slides: 45
Download presentation
Learning from Surveys: Starting from a case study on Austria Paolo Budroni, University of

Learning from Surveys: Starting from a case study on Austria Paolo Budroni, University of Vienna, Austria RDA-Node IG Open Questionnaire for Research Data Sharing Survey RDA 12 th Plenary Meeting, Gaborone, Botswana

This presentation will. . - Talk about the impact of a domestic research survey

This presentation will. . - Talk about the impact of a domestic research survey done by e-Infrastructures Austria three years ago - Offer an example of “granular” (country level vs. global) approach - Describe the impact that the report has had at policy development level in Austria/ at Austrian Institutions (increased understanding, interest from funders/univ. /policy makers, formulation of policies) - Show it has shaped the next steps taken in the Austrian RDM field (e. g. e-Infrastructures Austria and the recent initiative to create an Austrian RDA chapter) as well as in a broader intl. context Major interest from funders 2

Towards Open Science: What is really needed ? Austrian National Research Data Survey (published

Towards Open Science: What is really needed ? Austrian National Research Data Survey (published in November 2015) Purposes: – Status quo on research data management – Explore and collect desiderata – Enabling Open Science – Raise awareness 3

Towards Open Science: What is really needed ? Target and response • Researches of

Towards Open Science: What is really needed ? Target and response • Researches of all 21 public universities and three extrauniversity research institutions in Austria • From post doc level upwards • According to knowledge management report: 36. 000 researchers • Response rate: 9% nationwide 4

5 Relevant findings The report has had an impact on policy level in Austria/

5 Relevant findings The report has had an impact on policy level in Austria/ at Austrian Institutions Has generated (increased understanding/ interest from funders/Uni/policy makers, formulation of policies) Has created some discussion at transnational level

6 Reshape and create a new ecosystem of services for the existing networks

6 Reshape and create a new ecosystem of services for the existing networks

7 Re-consider data types and formats, this way:

7 Re-consider data types and formats, this way:

8 Foster collaborative data infrastructures

8 Foster collaborative data infrastructures

9 Re-design re-use scenarios in order to enable Open Science

9 Re-design re-use scenarios in order to enable Open Science

10 Refine identification of target groups Upon request 57% Open Access 11%

10 Refine identification of target groups Upon request 57% Open Access 11%

11 Re-thinking of scientific workflows within the networks

11 Re-thinking of scientific workflows within the networks

12 Coordinate between various e-infrastructure components Repositories 14%

12 Coordinate between various e-infrastructure components Repositories 14%

13 Enhance sustainability of collective efforts

13 Enhance sustainability of collective efforts

14 A common e-infrastructure umbrella is needed

14 A common e-infrastructure umbrella is needed

15 Pave the way to a common strategic vision

15 Pave the way to a common strategic vision

Enabling Open Science - Challenges 16

Enabling Open Science - Challenges 16

References and downloads www. e-infrastructures. at Download full report: Zenodo: DOI 10. 5281/zenodo. 34005

References and downloads www. e-infrastructures. at Download full report: Zenodo: DOI 10. 5281/zenodo. 34005 Phaidra (e-book format): https: //phaidra. univie. ac. at/detail_object/o: 4 09473 Download Poster: https: //phaidra. univie. ac. at/detail_object/o: 409452 17

Article: “Research data management in Turkey: perceptions and practices” - (March 2017) The massive

Article: “Research data management in Turkey: perceptions and practices” - (March 2017) The massive increase in research data being produced nowadays has highlighted the importance of research data management (RDM) to science. Research data not only have to be cost effective but also reliable, discoverable, accessible, and reusable. In this regard, the purpose of this paper is to investigate the perceptions and practices of Turkish researchers on the subject of RDM. Design/methodology/approach: An online survey was distributed to the academicians in 25 universities in Turkey, and 532 responses were gathered. Findings: Results indicate that although Turkish researchers are aware of the benefits of data management, are willing to share their research data with certain groups, and have decent preservation habits, they express that they lack the technical skills and knowledge needed for RDM. In addition, no institutionalized support (staff, training, software, and hardware) is provided to researchers. Research limitations/implications: A well-structured data strategy or policy that includes resource allocation (awareness, training, software/hardware) and is supported by Turkish research agencies is required for better data management practices among researchers in Turkey. Originality/value: This is the first study that investigates the data practices of Turkish academics who produce around 30, 000 scientific articles annually that are indexed by Web of Science. It contributes to the growing literature on RDM. (PDF) Research Data Management in Turkey: Perceptions and Practices. Available from: https: //www. researchgate. net/publication/316521394_Research_Data_Management_in_Turkey_Percepti ons_and_Practices [accessed Nov 03 2018]. Results conform with international reviews

Article: “Research data management in Turkey: perceptions and practices” - (March 2017) According to

Article: “Research data management in Turkey: perceptions and practices” - (March 2017) According to the article, in Turkey. . . - Development of FAIR Principles is slowed by the absence or insufficiency of regulatory measures for Research Data Management (RDM) - Majority of data collected for a specific purpose are not archived digitally in a way that allows inter-institutional knowledge transfer, and the possibility of accessing such datasets - Concerning RDM: A well-structured data strategy or policy that includes resource allocation (awareness, training, software/hardware) and is supported by Turkish research agencies is required for better data management practices among researchers in Turkey. - Introduction of sharing mandates and policies is needed Full article available at: www. emeraldinsight. com/0737 -8831. htm Results conform with international reviews

20 Further steps in 2016 -2017 -2018 Results were presented in Turkey, Lebanon, Germany,

20 Further steps in 2016 -2017 -2018 Results were presented in Turkey, Lebanon, Germany, Spain, Hungary, the Netherlands The Austrian survey generated a similar survey in Italy Determined further Austrian initiatives/surveys

Direct and indirect Impact in Austria, contributed to the . . Identification of challenges

Direct and indirect Impact in Austria, contributed to the . . Identification of challenges for enabling Open Science Vision Increased awareness Incorporated efforts in transnational e-infrastructures initiatives Embedded e-Infrastructures in activities of the Austrian national funder Provoked a deeper involvement of stakeholder groups in data management issues Served as incubator for the creation of reference points at local institutional level Stimulated the know-how transfer of e-infrastructure essentials The definition of new initiatives was accelerated: e. g. in November 2018, start of a data librarian programme • Release of RDM policies was enhanced • Initiated in 2016 first discussions on the creation of an Austrian chapter of RDA • • Results are conform with international reviews and tendencies 21

Details 21. 08. 2018 22

Details 21. 08. 2018 22

Creation of Value Through Open Data is a sub-set of the commonly used term

Creation of Value Through Open Data is a sub-set of the commonly used term Big Data Source: November 2015 - A study on the Impact of Re-use of Public Data Resources https: //www. europeandataportal. eu/sites/default/files/edp_creating_value_through_open_data_0. pdf Increasing awareness INIS Forum: The Changing World of Information

Different levels of processing of data Model for digital archiving World of data Raw

Different levels of processing of data Model for digital archiving World of data Raw data (primary data) Strata of data Processed Data Negative Results Processed Data Inconclusive Processed Data Results Processed Data Shared Positive results Pub. Data Shared Pub. Data Released Data OA Data Greater awareness Open data Non-open data Partially open data Published data Open access published data Different Stakeholder Ensuring legal and ethical compliance is key issue in this context

Implementation Directive 2013/37/EU – Supporting Actors New roles of „Open Data Support Units“: Libraries,

Implementation Directive 2013/37/EU – Supporting Actors New roles of „Open Data Support Units“: Libraries, Archives, Museums, ICT Services, Legal Services Awareness concerning roles

Results of BISA (Bibliosan per la Scienza Aperta) survey on open research data. Working

Results of BISA (Bibliosan per la Scienza Aperta) survey on open research data. Working Group BISA 2017, vi, 54 p. (in Italian) The Working Group BISA (Bibliosan per la scienza aperta), set up in June 2016 within Bibliosan (Library System of Italian Biomedical Research Institutions), carried out a survey to provide an overview of the handling of research data produced by the institutions belonging to the Bibliosan system. The survey, based on an online questionnaire, was addressed to all 59 institutions involved in the Bibliosan network and the research findings are presented in this report. Survey’s results show the current scenario of roles and responsibilities involved in the management of research data within the Italian scientific community of Bibliosan as well as the obstacles that need to be overcome for an efficient and sustainable data handling. Moreover, the suggestions originated from the questionnaire will help to develop standards, policies and common practices at a national level, to adapt data services for dissemination and secure archiving of research data to the existing needs. Key words: Open data; Biomedical research; Surveys and questionnaires; Italy Generated further surveys (2016)

Re-adaption of e-Infrastructures questionnaire

Re-adaption of e-Infrastructures questionnaire

Published in 2017 http: //old. iss. it/binary/publ/cont/17_32_web. pdf

Published in 2017 http: //old. iss. it/binary/publ/cont/17_32_web. pdf

Austria Country Report - A list of the main repositories and/or data centres in

Austria Country Report - A list of the main repositories and/or data centres in Austria (2018) Stimulated further domestic surveys for a deeper understanding on how to manage e-Infrastructures

November 2018 first Data Librarian Programme June 2016 Need of know-how transfer of e-infrastructure

November 2018 first Data Librarian Programme June 2016 Need of know-how transfer of e-infrastructure essentials was recognized

Three slides quoted from a presentation of C. Tockner, Chair of FWF Called up

Three slides quoted from a presentation of C. Tockner, Chair of FWF Called up for more interest from funders

Interaction with H 2020 Project LEARN - Findings of the survey were used in

Interaction with H 2020 Project LEARN - Findings of the survey were used in the project LEARN The impact that the report had on policy level in Austria/ at Austrian Institutions and in an international scenario (increased understanding, interest from funders/Uni/policy makers, formulation of policies)

Status quo in Austria/1 Period March 2017 – June 2018 • 15 + Workshops

Status quo in Austria/1 Period March 2017 – June 2018 • 15 + Workshops were held (plus after-workshop consultancy via telcos) • Vice-rectors, librarians, ICT officers, legal advisers, representatives of trade unions, researchers attended the workshops (average: 10 persons/ws • All Austrian medical universities were addressed • Four out of five art Universities were addressed • Two technical Universities were addressed • Three general Universities were addressed • 11 ”setting the scene” pre-workshop actvities with stakeholders

Status quo in Austria/2 Concrete results • 3 Universities: published a RDMpolicy • 9

Status quo in Austria/2 Concrete results • 3 Universities: published a RDMpolicy • 9 Universities: policies in development • All 9 universities participating to the project e-Infrastructures Austria Plus Phase II have been invited to the workshops

mdw – University of Music and Performing Arts Vienna Released in December 2017

mdw – University of Music and Performing Arts Vienna Released in December 2017

Medical University of Vienna Released in January 2018

Medical University of Vienna Released in January 2018

TU-Wien Released in July 2018

TU-Wien Released in July 2018

Presentation: Data Management Policies for SMEs

Presentation: Data Management Policies for SMEs

Thank you! Paolo Budroni, University of Vienna Head of e-Infrastructures Liaison Office Austrian National

Thank you! Paolo Budroni, University of Vienna Head of e-Infrastructures Liaison Office Austrian National E-IRG Delegate Member of Board of RDA Austria Chair of GA of e-Infrastructures Austria Member of Board of Open Education Austria TAIEX Expert paolo. budroni@univie. ac. at 21. 08. 2018 41

Credits This work is licenced under a Creative Commons Attribution 4. 0 International License

Credits This work is licenced under a Creative Commons Attribution 4. 0 International License (CC BY 4. 0). It is attributed to Paolo Budroni 21. 08. 2018 INIS Forum: The Changing World of Information 42

Germany The announcement has been sent through the German DINI/Nestor Network to all 17

Germany The announcement has been sent through the German DINI/Nestor Network to all 17 Universities of the Land Nordrhein - Westfalen Released in March 2018 The Project „Landesinitiative NFDI www. fdmnrw. de has used the Model Policy of the LEARN Project and tailored a version for German Ris. This German version has been published in Zenodo https: //doi. org/10. 5281/zenodo. 1149133

Activities in Germany to come in January 2019… Technische Universität Berlin (TU-Berlin) Workshop in

Activities in Germany to come in January 2019… Technische Universität Berlin (TU-Berlin) Workshop in May 2018 Last version of Policy: October 2018 Last consulting: October 2018 Expected release: January 2019

Activities in Italy http: //www. unimi. it/cataloghi/risulta ti_ricerca/Policy%20 RDM_EN. pdf . Released in November

Activities in Italy http: //www. unimi. it/cataloghi/risulta ti_ricerca/Policy%20 RDM_EN. pdf . Released in November 2017