scholarly journals The Future of Data Management Planning: Tools, Policies, and Players

2016 ◽  
Vol 11 (1) ◽  
pp. 208 ◽  
Author(s):  
Stephanie Simms ◽  
Marisa Strong ◽  
Sarah Jones ◽  
Marta Ribeiro
Keyword(s):  
Data Management ◽  
International Collaboration ◽  
Culture Change ◽  
Science And Society ◽  
Management Planning ◽  
User Communities ◽  
The Future ◽  
Planning Tools ◽  
Management Plans ◽  
The Creation

DMPonline and the DMPTool are well-established tools for data management planning. As the software of each matures and the user communities grow, we turn our attention to issues of sustainability, culture change, and international collaboration. Here we outline strategies for addressing these issues. We propose to build a new, global framework for data management planning that links plans to researchers, funders, publications, data, and other components of the research lifecycle. By refocusing our efforts from promoting the creation of data management plans (DMPs) to comply with funder requirements to supporting the creation of good DMPs that can be implemented, we seek to further enable the open scholarship revolution, advancing science and society.

scholarly journals Next-Generation Data Management Plans: Global, Machine-Actionable, FAIR

2017 ◽  
Vol 12 (1) ◽  
pp. 36-45
Author(s):  
Stephanie Renee Simms ◽  
Sarah Jones
Keyword(s):  
Data Management ◽  
Digital Library ◽  
Progress Report ◽  
Use Cases ◽  
University Of California ◽  
Next Generation ◽  
Management Planning ◽  
Digital Curation ◽  
Planning Tools ◽  
Management Plans

At IDCC 2016 the Digital Curation Centre (DCC) and University of California Curation Center (UC3) at the California Digital Library (CDL) announced plans to merge our respective data management planning tools, DMPonline and DMPTool, into a single platform. By formalizing our partnership and co-developing a core infrastructure for data management plans (DMPs), we aim to meet the skyrocketing demand for our services in our national, and increasingly international, contexts. The larger goal is to engage with what is now a global DMP agenda and help make DMPs a more useful exercise for all stakeholders in the research enterprise. This year we offer a progress report that encompasses our co-development roadmap and future enhancements focused on implementing use cases for machine-actionable DMPs.

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.

scholarly journals Automating Research Data Management Using Machine-Actionable Data Management Plans

2022 ◽  
Vol 13 (2) ◽  
pp. 1-22
Author(s):  
Tomasz Miksa ◽  
Simon Oblasser ◽  
Andreas Rauber
Keyword(s):  
Data Management ◽  
Research Data ◽  
Use Cases ◽  
Full Potential ◽  
Institutional Research ◽  
Reference Architecture ◽  
Management Planning ◽  
Research Data Management ◽  
Management Plans ◽  
New Generation

Many research funders mandate researchers to create and maintain data management plans (DMPs) for research projects that describe how research data is managed to ensure its reusability. A DMP, being a static textual document, is difficult to act upon and can quickly become obsolete and impractical to maintain. A new generation of machine-actionable DMPs (maDMPs) was therefore proposed by the Research Data Alliance to enable automated integration of information and updates. maDMPs open up a variety of use cases enabling interoperability of research systems and automation of data management tasks. In this article, we describe a system for machine-actionable data management planning in an institutional context. We identify common use cases within research that can be automated to benefit from machine-actionability of DMPs. We propose a reference architecture of an maDMP support system that can be embedded into an institutional research data management infrastructure. The system semi-automates creation and maintenance of DMPs, and thus eases the burden for the stakeholders responsible for various DMP elements. We evaluate the proposed system in a case study conducted at the largest technical university in Austria and quantify to what extent the DMP templates provided by the European Commission and a national funding body can be pre-filled. The proof-of-concept implementation shows that maDMP workflows can be semi-automated, thus workload on involved parties can be reduced and quality of information increased. The results are especially relevant to decision makers and infrastructure operators who want to design information systems in a systematic way that can utilize the full potential of maDMPs.

scholarly journals DMPTool 2: Expanding Functionality for Better Data Management Planning

2014 ◽  
Vol 9 (1) ◽  
pp. 324-330 ◽  
Author(s):  
Carly Strasser ◽  
Stephen Abrams ◽  
Patricia Cruse
Keyword(s):  
Data Management ◽  
Technology Policy ◽  
Group Testing ◽  
Application Programming Interface ◽  
Governance Structure ◽  
New Governance ◽  
Online Application ◽  
Management Planning ◽  
Research Activities ◽  
Management Plans

Scholarly researchers today are increasingly required to engage in a range of data management planning activities to comply with institutional policies, or as a precondition for publication or grant funding. The latter is especially true in the U.S. in light of the recent White House Office of Science and Technology Policy (OSTP) mandate aimed at maximizing the availability of all outputs – data as well as the publications that summarize them – resulting from federally-funded research projects. To aid researchers in creating effective data management plans (DMPs), a group of organizations – California Digital Library, DataONE, Digital Curation Centre, Smithsonian Institution, University of Illinois Urbana-Champaign, and University of Virginia Library – collaborated on the development of the DMPTool, an online application that helps researchers create data management plans. The DMPTool provides detailed guidance, links to general and institutional resources, and walks a researcher through the process of generating a comprehensive plan tailored to specific DMP requirements. The uptake of the DMPTool has been positive: to date, it has been used by over 6,000 researchers from 800 institutions, making use of more than 20 requirements templates customized for funding bodies. With support from the Alfred P. Sloan Foundation, project partners are now engaged in enhancing the features of the DMPTool. The second version of the tool has enhanced functionality for plan creators and institutional administrators, as well as a redesigned user interface and an open RESTful application programming interface (API). New administrative functions provide the means for institutions to better support local research activities. New capabilities include support for plan co-ownership; workflow provisions for internal plan review; simplified maintenance and addition of DMP requirements templates; extensive capabilities for the customization of guidance and resources by local institutional administrators; options for plan visibility; and UI refinements based on user feedback and focus group testing. The technical work undertaken for the DMPTool Version 2 has been accompanied by a new governance structure and the growth of a community of engaged stakeholders who will form the basis for a sustainable path forward for the DMPTool as it continues to play an important role in research data management activities.

MANAGEMENT PLANS—THE PATH TO THE FUTURE

1962 ◽  
Vol 38 (1) ◽  
pp. 25-33
Author(s):  
Murray B. Morison
Keyword(s):  
Forest Management ◽  
Management Unit ◽  
Management Units ◽  
Local Conditions ◽  
Management Planning ◽  
Forest Management Planning ◽  
The Future ◽  
Management Plans ◽  
New Procedures ◽  
Forestry Practice

The Department of Lands and Forests of the Province of Ontario, has completed one cycle in forest management planning and inventory compilation which was initiated in 1946.As a result of the experience gained since 1946 by the forestry staff, a nucleus of which has been working continually since the beginning of the original program, the Department now has what is believed to be a satisfactory revision which will obtain realistic management plans. These plans will have guiding objectives in line with good forestry practice and will also recognize the limitations imposed by social and economic conditions.In 1958, the Department commenced the re-inventory and is applying the new procedures to new photography, ground sampling and compilation. The revision of management plans is also proceeding as an integral part of the total program.This paper describes some of the factors involved in making decisions for management plans, it refers to the new inventory procedures, and highlights as an example, the plan for the Englehart Management Unit. Other Management units are briefly described to indicate some of the variations necessary in the application of plans to meet local conditions.

scholarly journals Resources to Support Faculty Writing Data Management Plans: Lessons Learned from an Engineering Pilot

2014 ◽  
Vol 9 (1) ◽  
pp. 242-252 ◽  
Author(s):  
Natsuko H. Nicholls ◽  
Sara M. Samuel ◽  
Leena N. Lalwani ◽  
Paul F. Grochowski ◽  
Jennifer A. Green
Keyword(s):  
Data Management ◽  
Pilot Project ◽  
Lessons Learned ◽  
Management Planning ◽  
Data Services ◽  
Study Results ◽  
Management Plans ◽  
The University ◽  
Faculty Writing ◽  
Conceptual Foundations

Recent years have seen a growing emphasis on the need for improved management of research data. Academic libraries have begun to articulate the conceptual foundations, roles, and responsibilities involved in data management planning and implementation. This paper provides an overview of the Engineering data support pilot at the University of Michigan Library as part of developing new data services and infrastructure. Through this pilot project, a team of librarians had an opportunity to identify areas where the library can play a role in assisting researchers with data management, and has put forth proposals for immediate steps that the library can take in this regard. The paper summarizes key findings from a faculty survey and discusses lessons learned from an analysis of data management plans from accepted NSF proposals. A key feature of this Engineering pilot project was to ensure that these study results will provide a foundation for librarians to educate and assist researchers with managing their data throughout the research lifecycle.

scholarly journals Exploring research data management planning challenges in practice

2020 ◽  
Vol 62 (1) ◽  
pp. 29-37
Author(s):  
Armel Lefebvre ◽  
Baharak Bakhtiari ◽  
Marco Spruit
Keyword(s):  
Data Management ◽  
Scientific Information ◽  
Public Funding ◽  
Research Data ◽  
High Quality ◽  
Management Planning ◽  
Research Data Management ◽  
Barriers To Access ◽  
Funding Agencies ◽  
Management Plans

AbstractResearch data management planning (RDMP) is the process through which researchers first get acquainted with research data management (RDM) matters. In recent years, public funding agencies have implemented governmental policies for removing barriers to access to scientific information. Researchers applying for funding at public funding agencies need to define a strategy for guaranteeing that the acquired funds also yield high-quality and reusable research data. To achieve that, funding bodies ask researchers to elaborate on data management needs in documents called data management plans (DMP). In this study, we explore several organizational and technological challenges occurring during the planning phase of research data management, more precisely during the grant submission process. By doing so, we deepen our understanding of a crucial process within research data management and broaden our understanding of the current stakeholders, practices, and challenges in RDMP.

scholarly journals Towards a Risk Catalogue for Data Management Plans

2020 ◽  
Vol 15 (1) ◽  
pp. 18
Author(s):  
Franziska Weng ◽  
Stella Thoben
Keyword(s):  
Risk Management ◽  
Data Management ◽  
Risk Mitigation ◽  
Research Projects ◽  
Careful Planning ◽  
Management Planning ◽  
Funded Research ◽  
Management Plans ◽  
Structured Approach ◽  
Selection Of

Although data management and its careful planning are no new topics, there is only little literature on risk mitigation in data management plans (DMPs). We consider it a problem that DMPs do not include a structured approach for the identification or mitigation of risks, because it would instil confidence and trust in the data and its stewards, and foster the successful conduction of data-generating projects, which often are funded research projects. In this paper, we present a lightweight approach for identifying general risks in DMPs. We introduce an initial version of a generic risk catalogue for funded research and similar projects. By analysing a selection of 13 DMPs for projects from multiple disciplines published by the Research Ideas and Outcomes (RIO) journal, we demonstrate that our approach is applicable to DMPs and transferable to multiple institutional constellations. As a result, the effort for integrating risk management in data management planning can be reduced.

scholarly journals Tuuli project: accelerating data management planning in Finnish research organisations

2018 ◽  
Vol 12 (2) ◽  
pp. 107-115 ◽  
Author(s):  
Minna Ahokas ◽  
Mari Elisa Kuusniemi ◽  
Jari Friman
Keyword(s):  
Best Practices ◽  
Data Management ◽  
Data Sharing ◽  
Research Data ◽  
Planning Tool ◽  
Management Planning ◽  
Research Data Management ◽  
Management Plans ◽  
Research Organisations ◽  
And Training

Many research funders have requirements for data sharing and data management plans (DMP). DMP tools are services built to help researchers to create data management plans fitting their needs and based on funder and/or organisation guidelines. Project Tuuli (2015–2017) has provided DMPTuuli, a data management planning tool for Finnish researchers and research organisations offering DMP templates and guidance. In this paper we describe how project has helped both Finnish researchers and research organisations adopt research data management best practices. As a result of the project we have also created a national Tuuli network. With growing competence and collaboration of the network, the project has reached most of its goals. The project has also actively promoted DMP support and training in Finnish research organisations.

ASO GUMBALO SEBAGAI INSPIRAS DALAM PENCIPTAAN SENI LUKIS

2018 ◽  
Vol 7 (2) ◽  
pp. 178
Author(s):  
Satri Yadi ◽  
Yuniarti Munaf ◽  
Dhasono Dhasono
Keyword(s):  
Design Phase ◽  
Symbolic Expression ◽  
Ethical Research ◽  
Process Stage ◽  
Form Processing ◽  
The Future ◽  
The Creation ◽  
Visual Strategies ◽  
Work Done ◽  
Exploration Phase

AbstrakAso Gumbalo dalam penciptaan karya seni lukis diilhami dari kehidupan pengembala yang menjadi inspirasi pencipta yang diungkap melalui media seni lukis dengan mengambil ide “Harapan Pengembala” (Aso Gumbalo). Harapan Gembala dapat diartikan sebagai keinginan, kecendrungan dan dorongan hati yang kuat terhadap sesuatu hal yang ingin direalisasikan untuk menjadikan seorang lebih baik dimasa depan. Pengekspresian ide cipta berangkat dari fenomena Aso Gumbalo yang pencipta ungkap dengan ekspresi simbolik kedalam penciptaan karya seni lukis. Metode penciptaan karya ini melalui tahapan yaitu; 1) Tahap eksplorasi adalah tahap pencarian ide-ide dengan melakukan riset emik dan etik untuk pembuatan karya, 2) Tahap perancangan yaitu tahap pembuatan purwarupa yang akan diwujudkan kedalam bentuk karya seni lukis, 3) Tahap proses garapan karya. Konsep dari penciptaan karya merupakan ekspresi simbolik dengan memanfaatkan idiom tradisi, ekspresi tersebut digambarkan pada perwujudan karya menggunakan strategi media dan strategi visual dengan menggunakan konsep pengolahan bentuk, yaitu disformasi dan transformasi dengan melakukan penggabungan beberapa teknik antara lain, teknik plakat, transparan, tekstur semu dan tekstur nyata. Aso Gumbalo sebagai inspirasi yang diungkapkan dalam bentuk karya seni lukis ekspresi simbolik. Karya-karya yang diciptakan pengkarya disajikan dalam bentukpameran.           Kata Kunci:aso gumbalo, ekspresi simbolik, seni lukis.   AbstractAsoGumbalo in the creation of painting works was inspired from the life of the shepherd who became the inspiration of the creator which revealed through the medium of painting by taking the idea of "Hope of the Shepherd" (AsoGumbalo). Shepherd Hope can be interpreted as a strong desire, inclination and encouragement towards something that wants to be realized to make someone better in the future. The expression of copyrighted ideas departs from the phenomenon of AsoGumbalo, which the creator expressed with a symbolic expression into the creation of painting. This method of creating works through several stages, namely; 1) The exploration phase is the stage of searching for ideas by conducting emic and ethical research for the production of works, 2) the design phase that is the prototype-making stage which will be realized in the form of painting, 3) the process stage of the work done. The concept of creation of works is a symbolic expression by utilizing traditional idioms, these expressions are depicted in the realization of the work using media strategies and visual strategies by using the concept of form processing, namely deformation and transformation by combining several techniques, such as plaque, transparent, pseudo-texture and real texture. AsoGumbalo as an inspiration expressed in the form of paintings of symbolic expression. works created by artists are presented in the form of exhibitions.  Keywords:asogumbalo, symbolic expression, painting.  

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