scholarly journals Supporting the Interdisciplinary, Long-Term Research Project ‘Patterns in Soil-Vegetation-Atmosphere-Systems’ by Data Management Services

2019 ◽  
Vol 18 ◽  
Author(s):  
Constanze Curdt
Keyword(s):  
Data Management ◽  
Research Project ◽  
Management Services

Exploring the Fourth Order

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Barend KLITSIE ◽  
Rebecca PRICE ◽  
Christine DE LILLE
Keyword(s):  
Action Research ◽  
Fourth Order ◽  
Subject Matter ◽  
Action Research Project ◽  
Research Project ◽  
Building Trust ◽  
Current Business

Companies are organised to fulfil two distinctive functions: efficient and resilient exploitation of current business and parallel exploration of new possibilities. For the latter, companies require strong organisational infrastructure such as team compositions and functional structures to ensure exploration remains effective. This paper explores the potential for designing organisational infrastructure to be part of fourth order subject matter. In particular, it explores how organisational infrastructure could be designed in the context of an exploratory unit, operating in a large heritage airline. This paper leverages insights from a long-term action research project and finds that building trust and shared frames are crucial to designing infrastructure that affords the greater explorative agenda of an organisation.

scholarly journals The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition

GigaScience ◽  
2020 ◽  
Vol 9 (10) ◽  
Author(s):  
Daniel Arend ◽  
Patrick König ◽  
Astrid Junker ◽  
Uwe Scholz ◽  
Matthias Lange
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Best Practice ◽  
Research Process ◽  
Research Data ◽  
Primary Data ◽  
Data Repository ◽  
Plant Genomics ◽  
Quality Of Data

Abstract Background The FAIR data principle as a commitment to support long-term research data management is widely accepted in the scientific community. Although the ELIXIR Core Data Resources and other established infrastructures provide comprehensive and long-term stable services and platforms for FAIR data management, a large quantity of research data is still hidden or at risk of getting lost. Currently, high-throughput plant genomics and phenomics technologies are producing research data in abundance, the storage of which is not covered by established core databases. This concerns the data volume, e.g., time series of images or high-resolution hyper-spectral data; the quality of data formatting and annotation, e.g., with regard to structure and annotation specifications of core databases; uncovered data domains; or organizational constraints prohibiting primary data storage outside institional boundaries. Results To share these potentially dark data in a FAIR way and master these challenges the ELIXIR Germany/de.NBI service Plant Genomic and Phenomics Research Data Repository (PGP) implements a “bring the infrastructure to the data” approach, which allows research data to be kept in place and wrapped in a FAIR-aware software infrastructure. This article presents new features of the e!DAL infrastructure software and the PGP repository as a best practice on how to easily set up FAIR-compliant and intuitive research data services. Furthermore, the integration of the ELIXIR Authentication and Authorization Infrastructure (AAI) and data discovery services are introduced as means to lower technical barriers and to increase the visibility of research data. Conclusion The e!DAL software matured to a powerful and FAIR-compliant infrastructure, while keeping the focus on flexible setup and integration into existing infrastructures and into the daily research process.

scholarly journals How long can we build it? Ensuring usability of a scientific code base

2021 ◽  
Vol 16 (1) ◽  
pp. 11
Author(s):  
Klaus Rechert ◽  
Jurek Oberhauser ◽  
Rafael Gieschke
Keyword(s):  
Data Management ◽  
Source Code ◽  
Research Data ◽  
Scientific Contribution ◽  
Scientific Publications ◽  
Research Data Management ◽  
Code Base

Software and in particular source code became an important component of scientific publications and henceforth is now subject of research data management.  Maintaining source code such that it remains a usable and a valuable scientific contribution is and remains a huge task. Not all code contributions can be actively maintained forever. Eventually, there will be a significant backlog of legacy source-code. In this article we analyse the requirements for applying the concept of long-term reusability to source code. We use simple case study to identify gaps and provide a technical infrastructure based on emulator to support automated builds of historic software in form of source code.  

scholarly journals A Collaborative Framework for Data Management Services: The Experience of the University of California

2012 ◽  
Vol 1 (2) ◽  
pp. 109-114 ◽  
Author(s):  
Joan Starr ◽  
Perry Willett ◽  
Lisa Federer ◽  
Claudia Horning ◽  
Mary Bergstrom
Keyword(s):  
Data Management ◽  
University Of California ◽  
The University ◽  
Management Services

scholarly journals FAIR Data Austria - Aligning the Implementation of FAIR Tools and Services

2021 ◽  
Vol 74 (2) ◽  
Author(s):  
Susanne Blumesberger ◽  
Nikos Gänsdorfer ◽  
Raman Ganguly ◽  
Eva Gergely ◽  
Alexander Gruber ◽  
...  
Keyword(s):  
Data Management ◽  
Support Services ◽  
Research Data ◽  
Research Results ◽  
Management Plans ◽  
Project Objectives ◽  
Training And Support

This article gives an overview of the FAIR Data Austria project objectives and current results. In collaboration with our project partners, we work on the development and establishment of tools for managing the lifecycle of research data, including machine-actionable Data Management Plans (maDMPs), repositories for long-term archiving of research results, RDM training and support services, models, and profiles for Data Stewards and FAIR Office Austria.

scholarly journals Developing a Strategy for Imputing Missing Traffic Volume Data

2010 ◽  
Author(s):  
Mei Chen ◽  
Jingxin Xia ◽  
Rongfang (Rachel) Liu
Keyword(s):  
Data Management ◽  
Management System ◽  
Implementation Strategy ◽  
Traffic Volume ◽  
Data Management System ◽  
Volume Data ◽  
Potential Resource ◽  
Transportation Applications ◽  
Archive Data

Archived ITS-generated data can provide a potential resource for many long-term transportation applications. However, missing and suspicious data are inevitable due to detector and communication malfunctions. This paper presents a comparative analysis of various techniques for imputing missing traffic volume data in the archived data management system in Kentucky. The applicability of the techniques, as well as their reliability in terms of data requirement, is also discussed. An implementation strategy for the Kentucky archive data management system is then developed based on the performance and the applicability/reliability analyses.

scholarly journals A diversity-sensitive long-term care for gay and lesbian elders in need of care – Results of the research project GLESA

2018 ◽  
Vol 5 (1) ◽  
pp. 53-63
Author(s):  
Ralf Lottmann ◽  
Ingrid Kollak
Keyword(s):  
Social Inclusion ◽  
Long Term Care ◽  
Qualitative Content Analysis ◽  
Gay And Lesbian ◽  
Research Project ◽  
Term Care ◽  
Need Of Care ◽  
Care Services ◽  
Care Facilities

AbstractThis paper presents results of the research project „Gleichgeschlechtliche Lebensweisen und Selbstbestimmung im Alter“ (GLESA) by the Alice Salomon University of Applied Sciences, Berlin, and the Berlin School of Economics and Law concerning the needs of gay and lesbian elders regarding long-term care. The main focus is on the expectations and perceptions of long-term care (facilities) of the interviewees living in a gay housing project in Berlin, Germany. The study is based on 26 interviews: with eleven gay, one lesbian and three heterosexual tenants – two of them lived in a shared community with long-term care services. Another eleven interviews were conducted with experts (five cis-female, four cis-male and two transgender) working in social and health services (social workers, carers and psychologists). The data was gathered via problem-centered interviews (Witzel 2000) and analysed with Mayrings‘ (2007) qualitative content analysis. Long-term care aspects were one out of five dimensions of the analysis. The study illustrates the discomfort of LGB elders regarding regular care services. The interviewees prefer LGB(T*I)-friendly facilities, in part because they demonstrate overt signs of diversity and promise a high competence of LGB(T*I) personnel in terms of self-determination, awareness, visibility and knowledge about LGBT*I communities. Finally, the authors advocate enhancing the concept of culture-sensitive long-term care according to diversity-sensitive aspects. A better understanding of diversity will help to better consider individuality and biographies in long-term care (facilities) and to support the social inclusion of LGB(T*I) elders in need of care.

Cataloging Max Steiner

2021 ◽  
Author(s):  
Jeff Lyon ◽  
Brent Yorgason
Keyword(s):  
Analytical Data ◽  
Film Scores ◽  
Research Project ◽  
Corpus Study ◽  
Main Research ◽  
Brigham Young University ◽  
Future Outcomes ◽  
Character Types

The Max Steiner corpus study is a long-term research project, drawing on the Max Steiner Collection at Brigham Young University, to catalog and analyze the music from all of Steiner’s film scores. This paper outlines the goals, processes, and potential future outcomes of this research. One of the main research goals of this project is to discover what kinds of melodies, harmonies, rhythms, and instruments Steiner used to represent different emotions and character types. Because of the amount of data needed to understand each of these elements thoroughly, this type of analysis can best be done through a corpus study. This data will be published as an interactive database that will allow the user to explore themes as they develop throughout a film as well as discover related themes in other film scores by Steiner. Transcriptions of themes will be displayed with Steiner’s annotations, film stills, and analytical data. This paper presents our findings to date and our plan to analyze, transcribe, and catalog the remaining films.

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