Show Me the Data!

2018 ◽  
Author(s):  
Chealsye Bowley
Keyword(s):  
Data Management ◽  
Role Playing ◽  
Research Data ◽  
Immediate Feedback ◽  
Data Literacy ◽  
Research Data Management ◽  
Teaching Research ◽  
Conducting Research

This poster was presented at the Research Data and Access Preservation Summit 2018. Teaching research data management and data literacy can be a challenge. How can one know if the information is being retained and will be applied? Using game techniques and role playing can give the presenter immediate feedback on if the information regarding data management and/or data literacy is being retained, and allow students to immediately apply the information to increase their chances of retaining and using the information when conducting research.

scholarly journals Research Data Management in a Developing Country: A Personal Journey

2015 ◽  
Vol 10 (2) ◽  
pp. 33-47 ◽  
Author(s):  
Martie Van Deventer ◽  
Heila Pienaar
Keyword(s):  
Data Management ◽  
Developing Country ◽  
Research Data ◽  
Important Lesson ◽  
Personal Journey ◽  
Research Data Management ◽  
Conducting Research ◽  
Work Done ◽  
The Way

This paper explores our own journey to get to grips with research data management (RDM). It also mentions the overlap between our own ‘journeys’ and that of the country. We share the lessons that we learnt along the way – the most important lesson being that you can learn many wonderful and valuable RDM lessons from the international trend setters, but in the end you need to get your hands dirty and get the work done yourself. You must, within the set parameters, implement the RDM practice that is both appropriate and acceptable for and to your own set of researchers – who may be conducting research in a context that may be very dissimilar to that of international peers.

scholarly journals Информациона писменост наставника и сарадника на Универзитету у Београду

2018 ◽  
Vol 17 (32) ◽  
pp. 12
Author(s):  
Гордана Стокић Симончић ◽  
Драгана Сабовљев
Keyword(s):  
Data Management ◽  
Research Data ◽  
Management Research ◽  
Data Literacy ◽  
Research Data Management

У раду су представљени резултати истраживања које је спроведено током 2017. године на Универзитету у Београду, а имало је за циљ да утврди ниво информационе писмености наставника и сарадника, испитујући њихову оспособљеност за руковање истраживачким подацима. Истоветном онлајн анкетом (Вештина коришћења података и управљање истраживачким подацима – Data Literacy and Research Data Management Research) прикупљани су подаци о навикама истраживача (професора, сарадника, докторанада, библиотекара), у академским срединама већег броја европских држава упоредо, да би се омогућило компаративно сагледавање проблематике.Узорак од 85 испитаника потврдио је полазну претпоставку анкетара да ниво информационе писмености наставника и сарадника на Универзитету у Београду треба систематски унапређивати. Но, показао је и мањак институционалне инфраструктуре (политике, сервиси, средства, репозиторијуми, процедуре), па и недостатак, односно непознавање стручне терминологије у области управљања истраживачким подацима, што све заједно директно утиче на ефективност научног процеса.

scholarly journals Teaching Research Data Management for Students

2019 ◽  
Vol 18 ◽  
Author(s):  
Cord Wiljes ◽  
Philipp Cimiano
Keyword(s):  
Data Management ◽  
Research Data ◽  
Research Data Management ◽  
Teaching Research

Research data management and research data literacy in Slovenian science

2019 ◽  
Vol 75 (1) ◽  
pp. 24-43 ◽  
Author(s):  
Polona Vilar ◽  
Vlasta Zabukovec
Keyword(s):  
Data Management ◽  
Online Survey ◽  
National Level ◽  
Public Domain ◽  
Research Data ◽  
Ethical Question ◽  
Valuable Insight ◽  
Content Type ◽  
Data Literacy ◽  
Research Data Management

PurposeThe purpose of this paper is to investigate the differences between scientific disciplines (SDs) in Slovenia in research data literacy (RDL) and research data management (RDM) to form recommendations regarding how to move things forward on the institutional and national level.Design/methodology/approachPurposive sample of active researchers was used from widest possible range of SD. Data were collected from April 21 to August 7, 2017, using 24-question online survey (5 demographic, 19 content questions (single/multiple choice and Likert scale type). Bivariate (ANOVA) and multivariate methods (clustering) were used.FindingsThe authors identified three perception-related and four behavior-related connections; this gave three clusters per area. First, perceptions – skeptical group, mainly social (SocS) and natural sciences (NatS): no clear RDM and ethical issues standpoints, do not agree that every university needs a data management plan (DMP). Careful group, again including mainly SocS and NatS: RDM is problematic and linked to ethical dilemmas, positive toward institutional DMPs. Convinced group, mainly from humanities (HUM), NatS, engineering (ENG) and medicine and health sciences (MedHeS): no problems regarding RDM, agrees this is an ethical question, is positive toward institutional DMP’s. Second, behaviors – sparse group, mainly from MedHeS, NatS and HUM, some agricultural scientists (AgS), and some SocS and ENG: do not tag data sets with metadata, do not use file-naming conventions/standards. Frequent group – many ENG, SocS, moderate numbers of NatS, very few AgS and only a few MedHeS and HUM: often use file-naming conventions/standards, version-control systems, have experience with public-domain data, are reluctant to use metadata with their RD. Slender group, mainly from AgS and NatS, moderate numbers of ENG, SocS and HUM, but no MedHeS: often use public-domain data, other three activities are rare.Research limitations/implicationsResearch could be expanded to a wider population, include other stakeholders and use qualitative methods.Practical implicationsResults are useful for international comparisons but also give foundations and recommendations on institutional and national RDM and RDL policies, implementations, and how to bring academic libraries into the picture. Identified differences suggest that different educational, awareness-raising and participatory approaches are needed for each group.Originality/valueThe findings offer valuable insight into RDM and RDL of Slovenian scientists, which have not yet been investigated in Slovenia.

scholarly journals Developing Research Data Management Services and Support for Researchers: A Mixed Methods Study

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Laure Perrier ◽  
Leslie Barnes
Keyword(s):  
Focus Groups ◽  
Data Management ◽  
Research Data ◽  
Funding Agency ◽  
University Of Toronto ◽  
Research Data Management ◽  
Secure Storage ◽  
Support Of Research ◽  
Conducting Research ◽  
The University

This mixed method study determined the essential tools and services required for research data management to aid academic researchers in fulfilling emerging funding agency and journal requirements. Focus groups were conducted and a rating exercise was designed to rank potential services. Faculty conducting research at the University of Toronto were recruited; 28 researchers participated in four focus groups from June– August 2016. Two investigators independently coded the transcripts from the focus groups and identified four themes: 1) seamless infrastructure, 2) data security, 3) developing skills and knowledge, and 4) anxiety about releasing data. Researchers require assistance with the secure storage of data and favour tools that are easy to use. Increasing knowledge of best practices in research data management is necessary and can be supported by the library using multiple strategies. These findings help our library identify and prioritize tools and services in order to allocate resources in support of research data management on campus.

scholarly journals Data literacy for researchers and data librarians

2016 ◽  
Vol 49 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Tibor Koltay
Keyword(s):  
Data Quality ◽  
Data Management ◽  
Information Literacy ◽  
Academic Library ◽  
Research Data ◽  
Review Of Literature ◽  
Data Literacy ◽  
Data Intensive ◽  
Research Data Management ◽  
Data Citation

This paper describes data literacy and emphasizes its importance. Data literacy is vital for researchers who need to become data literate science workers and also for (potential) data management professionals. Its important characteristic is a close connection and similarity to information literacy. To support this argument, a review of literature was undertaken on the importance of data, and the data-intensive paradigm of scientific research, researchers’ expected and real behaviour, the nature of research data management, the possible roles of the academic library, data quality and data citation, Besides describing the nature of data literacy and enumerating the related skills, the application of phenomenographic approaches to data literacy and its relationship to the digital humanities have been identified as subjects for further investigation.

scholarly journals Research Data Management Exercise

2017 ◽  
Author(s):  
Chealsye Bowley
Keyword(s):  
Best Practices ◽  
Data Management ◽  
Role Playing ◽  
Research Data ◽  
Research Data Management

Role playing exercise for student workshops on data management and sharing best practices.

scholarly journals Research data management and the evolutions of scholarship: policy, infrastructure and data literacy at KU Leuven

2019 ◽  
Vol 29 (1) ◽  
pp. 1
Author(s):  
Tom Willaert ◽  
Jacob Cottyn ◽  
Ulrike Kenens ◽  
Thomas Vandendriessche ◽  
Demmy Verbeke ◽  
...  
Keyword(s):  
Data Management ◽  
Research Data ◽  
Data Literacy ◽  
Research Data Management
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