scholarly journals Data Management Plans in Horizon 2020: what beneficiaries think and what we can learn from their experience

2021 ◽  
Vol 1 ◽  
pp. 42
Author(s):  
Daniel Spichtinger
Keyword(s):  
Data Management ◽  
Management Practices ◽  
Contact Point ◽  
Qualitative Interviews ◽  
Open Data ◽  
Horizon 2020 ◽  
Research And Innovation ◽  
Management Plans ◽  
First Time

Background: Data Management Plans (DMPs) are at the heart of many research funder requirements for data management and open data, including the EU’s Framework Programme for Research and Innovation, Horizon 2020. This article provides a summary of the findings of the DMP Use Case study, conducted as part of OpenAIRE Advance. Methods: As part of the study we created a vetted collection of over 800 Horizon 2020 DMPs. Primarily, however, we report the results of qualitative interviews and a quantitative survey on the experience of Horizon 2020 projects with DMPs. Results & Conclusions: We find that a significant number of projects had to develop a DMP for the first time in the context of Horizon 2020, which points to the importance of funder requirements in spreading good data management practices. In total, 82% of survey respondents found DMPs useful or partially useful, beyond them being “just” an European Commission (EC) requirement. DMPs are most prominently developed within a project’s Management Work Package. Templates were considered important, with 40% of respondents using the EC/European Research Council template. However, some argue for a more tailor-made approach. The most frequent source for support with DMPs were other project partners, but many beneficiaries did not receive any support at all. A number of survey respondents and interviewees therefore ask for a dedicated contact point at the EC, which could take the form of an EC Data Management Helpdesk, akin to the IP helpdesk. If DMPs are published, they are most often made available on the project website, which, however, is often taken offline after the project ends. There is therefore a need to further raise awareness on the importance of using repositories to ensure preservation and curation of DMPs. The study identifies IP and licensing arrangements for DMPs as promising areas for further research.

scholarly journals Remediation Data Management Plans

2019 ◽  
Vol 13 (1) ◽  
pp. 352-361
Author(s):  
Clara Llebot
Keyword(s):  
Life Cycle ◽  
Data Collection ◽  
Data Management ◽  
Management Practices ◽  
Research Projects ◽  
Planning Stage ◽  
Good Data ◽  
Management Plans ◽  
Grant Proposals

 Data   Management   Plans   (DMPs)   have   been   used   in   the   last   decade   to   encourage   good data   management   practices   among   researchers.   DMPs   are   widely   used,   preventive   tools that   encourage   good   data   management   practices.   DMPs   are   traditionally   used   to   manage data   during   the   planning   stage   of   the   project,   often   required   for   grant   proposals,   and   prior to   data   collection.   In   this   paper   we   will   use   a   case   study   to   argue   that   Data   Management  Plans   can   be   useful   in   improving   the   management   of   the   data   of   research   projects   that  have   moved   beyond   the   planning   stage   of   the   research   life   cycle.   In   particular,   we   focus  on   the   case   of   active   projects   where   data   has   already   been   collected   and   is   still   being  analyzed.   We   discuss   the   differences   and   commonalities   in   structure   between   preventive Data   Management   Plans   and   remedial   Data   Management   Plans,   and   describe   in   detail   the additional   considerations   that   are   needed   when   writing   remedial   Data   Management   Plans: the   goals   and   audience   of   the   document,   the   data   inventory,   and   an   implementation   plan. 

scholarly journals The Open Data Challenge: An Analysis of 124,000 Data Availability Statements and an Ironic Lesson about Data Management Plans

2020 ◽  
Vol 2 (4) ◽  
pp. 554-568
Author(s):  
Chris Graf ◽  
Dave Flanagan ◽  
Lisa Wylie ◽  
Deirdre Silver
Keyword(s):  
Machine Learning ◽  
Data Management ◽  
Open Data ◽  
Research Data ◽  
Data Availability ◽  
Policy Changes ◽  
Management Plans ◽  
Trends Over Time ◽  
New Research ◽  
Over Time

Data availability statements can provide useful information about how researchers actually share research data. We used unsupervised machine learning to analyze 124,000 data availability statements submitted by research authors to 176 Wiley journals between 2013 and 2019. We categorized the data availability statements, and looked at trends over time. We found expected increases in the number of data availability statements submitted over time, and marked increases that correlate with policy changes made by journals. Our open data challenge becomes to use what we have learned to present researchers with relevant and easy options that help them to share and make an impact with new research data.

scholarly journals The impacts of Meta Data Management on Social Dynamics: A Research Case Study

2021 ◽  
Author(s):  
◽  
Torrance Mayberry
Keyword(s):  
Data Management ◽  
Management Practices ◽  
Social Dynamics ◽  
Complex Phenomenon ◽  
Critical Importance ◽  
Meta Data ◽  
Cognitive Ethnography ◽  
The Social ◽  
Emerging Themes

<p>Meta data management practices often overlook the role social dynamics play in harnessing the value of an organisation’s unique business language and the behaviours it creates. Using evidence from literature, interviews and cognitive ethnography, this research case sets out to explain the impacts of meta data management on social dynamics. The emerging themes (that is, newness, continual adaption, engagement tension, production tension, inefficiency and unreliability) represent salient factors by which organisations can be constrained in exploiting the worth of their meta data. This research emphasises the critical importance of organisations having a deeper understanding of the purpose and meaning of information. This understanding is a strength for creating value and for exploiting the worth arising in networks and in the social dynamics created within those networks. This strength contributes to organisations’ economic growth and is interdependent with their ability to manage complex phenomenon in a growing interconnected society.</p>

scholarly journals Research Data Management within the 4TU Research Centres

2018 ◽  
Author(s):  
Maria J. Cruz ◽  
Alastair Dunning
Keyword(s):  
Data Management ◽  
Management Practices ◽  
Qualitative Interviews ◽  
Research Data ◽  
Research Data Management ◽  
Research Centres

Survey of research data management practices and attitudes within the 4TU Research Centres based on qualitative interviews with the Centres' Scientific Directors.

scholarly journals FAIR data and data management requirements in a comparative perspective: Horizon 2020 and FWF policies

2020 ◽  
Vol 73 (2) ◽  
pp. 207-216
Author(s):  
Daniel Spichtinger ◽  
Susanne Blumesberger
Keyword(s):  
Data Management ◽  
Citizen Science ◽  
Open Data ◽  
Comparative Perspective ◽  
Horizon 2020 ◽  
Science Conference ◽  
Management Workshop

Based on our input to the Data Management Workshop, held during the Austrian Citizen Science Conference 2019 in Obergurgl, we provide a comparative perspective on the open data and data management requirements in the European Union’s Horizon 2020 programme and those of a national funder, the Austrian FWF, in this paper. We conclude that, although there are some differences in terminology and specific requirements, both the FWF and Horizon 2020 DMPs essentially cover the same ground.

scholarly journals Outside the R1: Equitable data management at the undergraduate level

2021 ◽  
Vol 45 (2) ◽  
Author(s):  
Elizabeth Blackwood
Keyword(s):  
Data Management ◽  
Management Practices ◽  
Undergraduate Curriculum ◽  
Research Data ◽  
Management Skills ◽  
State University System ◽  
Final Project ◽  
Research Data Management ◽  
Management Plans ◽  
Regional Universities

Universities within the California State University System are given the mandate to teach the students of the state, as is the case with many regional, public universities. This mandate places teaching first; however, research and scholarship are still required activities for reaching retention, tenure, and promotion, as well as important skills for students to practice. Data management instruction for both faculty and undergraduates is often omitted at these institutions, which fall outside of the R1 designation. This happens for a variety of reasons, including personnel and resource limitations. Such limitations disproportionately burden students from underrepresented populations, who are more heavily represented at these institutions. These students have pathways to graduate school and the digital economy, like their counterparts at R1s; thus, they are also in need of research data management skills. This paper describes and provides a scalable, low-resource model for data management instruction from the university library and integrated into a department’s capstone or final project curriculum. In the case study, students and their instructors participated in workshops and submitted data management plans as a requirement of their final project. The analysis will analyze the results of the project and focus on the broader implications of integrating research data management into undergraduate curriculum at public, regional universities. By working with faculty to integrate data management practices into their curricula, librarians reach both students and faculty members with best practices for research data management. This work also contributes to a more equitable and sustainable research landscape.

scholarly journals Researchers at Arab Universities Hold Positive Views on Research Data Management and Data Sharing

2020 ◽  
Vol 15 (2) ◽  
pp. 168-170
Author(s):  
Jennifer Kaari
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Data Privacy ◽  
Management Practices ◽  
Open Data ◽  
Scientific Progress ◽  
Management Plan ◽  
Research Data ◽  
Data Repository ◽  
Research Data Management

A Review of: Elsayed, A. M., & Saleh, E. I. (2018). Research data management and sharing among researchers in Arab universities: An exploratory study. IFLA Journal, 44(4), 281–299. https://doi.org/10.1177/0340035218785196 Abstract Objective – To investigate researchers’ practices and attitudes regarding research data management and data sharing. Design – Email survey. Setting – Universities in Egypt, Jordan, and Saudi Arabia. Subjects – Surveys were sent to 4,086 academic faculty researchers. Methods – The survey was emailed to faculty at three Arab universities, targeting faculty in the life sciences and engineering. The survey was created using Google Docs and remained open for five months. Participants were asked basic demographic questions, questions regarding their research data and metadata practices, and questions regarding their data sharing practices. Main Results – The authors received 337 responses, for a response rate of 8%. The results showed that 48.4% of respondents had a data management plan and that 97% were responsible for preserving their own data. Most respondents stored their research data on their personal storage devices. The authors found that 64.4% of respondents reported sharing their research data. Respondents most frequently shared their data by publishing in a data research journal, sharing through academic social networks such as ResearchGate, and providing data upon request to peers. Only 5.1% of respondents shared data through an open data repository.  Of those who did not share data, data privacy and confidentiality were the most common reasons cited. Of the respondents who did share their data, contributing to scientific progress and increased citation and visibility were the primary reasons for doing so. A total of 59.6% of respondents stated that they needed more training in research data management from their universities. Conclusion – The authors conclude that researchers at Arab universities are still primarily responsible for their own data and that data management planning is still a new concept to most researchers. For the most part, the researchers had a positive attitude toward data sharing, although depositing data in open repositories is still not a widespread practice. The authors conclude that in order to encourage strong data management practices and open data sharing among Arab university researchers, more training and institutional support is needed.

scholarly journals Virtual exchanges as complex research environments: facing the data management challenge. A case study of Teletandem Brasil

2020 ◽  
Vol 3 ◽  
pp. 13-38
Author(s):  
Solange Aranha ◽  
Ciara R. Wigham
Keyword(s):  
Data Collection ◽  
Data Management ◽  
Interaction Analysis ◽  
Open Data ◽  
Critical Discussion ◽  
Video Data ◽  
Learning Theories ◽  
Management Planning ◽  
Management Plans ◽  
Two Phases

Although there is a move toward open data, with research funding bodies more frequently requiring data management plans and dissemination strategies, the data management challenges inherently linked to virtual exchange research are understudied. Data collection is often reported upon in papers addressing interaction analysis or language development, but little attention has been paid to offering critical discussion of data collection and structuration methods or practical advice to encourage data/corpora dissemination. This paper reports on two phases of the Multimodal Teletandem Corpus project (Aranha & Lopes, 2019) that structured 581 hours of video data from Portuguese-English teletandem sessions, 351 chat logs, 956 written productions exchanged between the partners (original, revised, and corrected versions), 91 initial and 41 final questionnaires, and 666 learning diaries. We describe the data management problems faced that included the organization of data collected, ethical consent, management of a large quantity of data, inclusion of sociolinguistic information, expansion of learning theories, and the solutions found. We then outline data management planning steps that, consequently, are being introduced for future telecollaboration instantiations.

The communication and the organization of events in a scientific multidiscipinary community: the SeaDataNet experience

2020 ◽  
Author(s):  
Leda Pecci ◽  
Michele Fichaut ◽  
Dick Schaap
Keyword(s):  
Data Management ◽  
Positive Impact ◽  
Knowledge Exchange ◽  
The European Union ◽  
Data Interoperability ◽  
Data Infrastructure ◽  
Horizon 2020 ◽  
Research And Innovation ◽  
On Line ◽  
Marine Data

&lt;p&gt;The pan-European SeaDataNet marine and ocean data infrastructure started in early 2000, by means of a European funded project to create a framework for the management of large and diverse sets of data deriving from in situ measurements. It has been improved thanks to different European projects, it represents the joint efforts of several marine institutes around the European and the Mediterranean seas. The current project that is improving the infrastructure is the SeaDataCloud Horizon 2020 project; it involves a network of 56 partners across 29 countries.&lt;/p&gt;&lt;p&gt;According to our main objectivest he project designed and implemented actions which can spur a response on an international level, creating the basis to reinforce the pan-European SeaDataCloud community.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;Information Technology (IT) has an important impact on how people work together. In the SeaDataCloud project the following web communication tools are used:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;SeaDataNet website and Extranet;&lt;/li&gt; &lt;li&gt;Partners&amp;#8217; websites;&lt;/li&gt; &lt;li&gt;Mailing lists;&lt;/li&gt; &lt;li&gt;Electronic newsletters;&lt;/li&gt; &lt;li&gt;On line educational materials;&lt;/li&gt; &lt;li&gt;Videos and video tutorials;&lt;/li&gt; &lt;li&gt;Twitter;&lt;/li&gt; &lt;li&gt;Articles in e-journals;&lt;/li&gt; &lt;/ul&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;Members of the SeaDataCloud and SeaDataNet I and II, have had the opportunity of face to face meetings, the norm is to travel even for meetings of short duration. This investment in time and money allows direct contact between the partners of the projects. This creates an opportunity for people across Europe to meet each other, to work together and to speak openly.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;The IMDIS (International Conference on Marine Data and Information Systems) conferences have been organized in the framework of the European funded projects that have allowed the SeaDataNet infrastructure to be developed and upgraded. The meetings started in 2005 with the first conference organised in Brest (France), to share knowledge and best practices on marine data management. IMDIS is a unique platform and has the following goals:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Raise awareness of the SeaDataNet infrastructure, new development and standards;&lt;/li&gt; &lt;li&gt;Share experiences in ocean data management;&lt;/li&gt; &lt;li&gt;Enable synergies between data providers and data managers.&lt;/li&gt; &lt;/ul&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;It has been a breeding ground for inspirational ideas, for example the project ODIP (Ocean Data Interoperability Platform) that led to its successor ODIP II project was conceived during one of the conferences. The challenges and objectives of the projects were to find common interoperability solutions to problems in ocean data sharing, in collaboration with institutions from Europe, USA and Australia. In this case the IMDIS series of conferences have represented an opportunity not only for knowledge exchange in ocean data management but they have led to significant results in terms of new synergies that made it possible to find new partners and projects.&lt;/p&gt;&lt;p&gt;The direct interactions during the meetings as well as the on line tools have had a positive impact on reinforcing the development of a large SeaDataNet community across Europe and beyond.&lt;/p&gt;&lt;p&gt;The SeaDataCloud project has received funding from the European Union&amp;#8217;s Horizon 2020 research and innovation programme under grant agreement N&amp;#186; 730960.&lt;/p&gt;

scholarly journals Modifying researchers’ data management practices

IFLA Journal ◽  
2016 ◽  
Vol 42 (4) ◽  
pp. 253-265 ◽  
Author(s):  
Susan Hickson ◽  
Kylie Ann Poulton ◽  
Maria Connor ◽  
Joanna Richardson ◽  
Malcolm Wolski
Keyword(s):  
Data Management ◽  
Best Practice ◽  
Management Practices ◽  
Social Science Research ◽  
Science Research ◽  
Current Data ◽  
Research Centre ◽  
Data Collection And Analysis ◽  
Management Plans

Data is the new buzzword in academic libraries, as policy increasingly mandates that data must be open and accessible, funders require formal data management plans, and institutions are implementing guidelines around best practice. Given concerns about the current data management practices of researchers, this paper reports on the initial findings from a project being undertaken at Griffith University to apply a conceptual (A-COM-B) framework to understanding researchers’ behaviour. The objective of the project is to encourage the use of institutionally endorsed solutions for research data management. Based on interviews conducted by a team of librarians in a small, social science research centre, preliminary results indicate that attitude is the key element which will need to be addressed in designing intervention strategies to modify behaviour. The paper concludes with a discussion of the next stages in the project, which involve further data collection and analysis, the implementation of targeted strategies, and a follow-up activity to assess the extent of modifications to current undesirable practices.

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