scholarly journals Progress on Data Stewardship Wizard during BioHackathon Europe 2020

2020 ◽  
Author(s):  
Marek Suchánek ◽  
Rob W.W. Hooft ◽  
Konogan Bourhy
Keyword(s):  
Data Management ◽  
Management Plan ◽  
Knowledge Model ◽  
Horizon 2020 ◽  
Past Time ◽  
The Past ◽  
Europe 2020 ◽  
Questions And Answers ◽  
Data Stewardship ◽  
Multiple Languages

We used the Virtual BioHackathon Europe 2020 to work on a number of projects for improvement of the data stewardship wizard: (a) We made first steps to analysis of what is needed to make all questions and answers machine actionable (b) We worked on supporting the Horizon 2020 Data Management Plan Template (c) Several new integrations were made, e.g. to ROR and Wikidata (d) we made a draft plan for supporting multiple languages and (e) we implemented many suggestions for improvement of the knowledge model that had been suggested to us over the past time. Quickly after the BioHackathon, the adapted knowledge model, new integrations and the H2020 template have been made available to all users of the wizard.

scholarly journals D8.1 Data Management Plan

2021 ◽  
Author(s):  
C. Soriano ◽  
R. Rossi ◽  
Q. Ayoul-Guilmard
Keyword(s):  
Open Access ◽  
Data Management ◽  
European Commission ◽  
Management Plan ◽  
Research Data ◽  
Scientific Publications ◽  
Horizon 2020 ◽  
Open Research ◽  
Data Program

The ExaQUte project participates in the Pilot on Open Research Data launched by the European Commission (EC) along with the H2020 program. This pilot is part of the Open Access to Scientific Publications and Research Data program in H2020. The goal of the program is to foster access to research data generated in H2020 projects. The use of a Data anagement Plan (DMP) is required for all projects participating in the Open Research Data Pilot, in which they will specify what data will be kept for the longer term. The underpinning idea is that Horizon 2020 beneficiaries have to make their research data findable, accessible, interoperable and re-usable (FAIR), to ensure it is soundly managed.

scholarly journals DS Wizard Meets DAISY: A Romance Solving Data Protection Requirements in Data Management Planning

2021 ◽  
Author(s):  
Marek Suchánek ◽  
Pinar Alper ◽  
Jan Slifka ◽  
Vilém Děd ◽  
Nene DJenaba Barry ◽  
...  
Keyword(s):  
Information System ◽  
Data Management ◽  
Data Protection ◽  
Research Projects ◽  
Knowledge Model ◽  
Management Planning ◽  
On Demand ◽  
New Knowledge ◽  
Data Stewardship ◽  
Document Generation

This report summarises our activities and achievements in integrating the Data Stewardship Wizard (DSW) and Data Information System (DAISY) tools during the ELIXIR BioHackathon Europe 2021. As a data information system for GDPR compliance, DAISY is focused on a single goal – gathering all information required for GDPR accountability of biomedical research projects. On the other hand, DSW is very flexible and can be used beyond data management planning. We worked on the integration between both tools on two fronts. Firstly, we created a new Knowledge Model in DSW together with a document output template to be able to generate a data protection impact assessment (DPIA). Secondly, we introduced a new integration type between projects in DSW and DAISY that allows the querying of DAISY data upon document generation in DSW. Both of these independent activities brought successful results that were polished and published after the actual BioHackathon. Finally, we provide the related materials as an on-demand training course in the ELIXIR eLearning Platform.

scholarly journals Data management plan

2021 ◽  
Author(s):  
J. García-Espinosa ◽  
C. Soriano
Keyword(s):  
Data Management ◽  
European Commission ◽  
Data Storage ◽  
Computational Models ◽  
Management Plan ◽  
Research Data ◽  
Horizon 2020 ◽  
Open Research ◽  
Technical Solutions ◽  
Term Data

This document presents the deliverable D8.1 – the Data Management Plan (DMP) of work package 8 of the prodPhD project. It aims to present the plan for the management, generation, collection, security, preservation and sharing of data generated through the prodPhD project. The DMP is a key element for organizing the project’s data. It provides an analysis of the data, which will be collected, processed and published by the prodPhD consortium. The project embraces the initiatives of the European Commission to promote the open access to research data, aiming to improve and maximize access to and reuse of research data generated by Horizon 2020 projects. In this sense prodPhD will adhere to the Open Research Data Pilot (ORD Pilot) fostered by the European Commission, and this DMP will be developed following the standards of data storage, access and management. This plan will detail what data will be generated through the project, whether and how it will be made accessible for the verification and reuse and how it will be curated and preserved. In this context, the term data applies to the information generated during the different experimental campaigns carried out in the project, and specifically to the data, including associated metadata, to be used to validate the computational models and the technical solutions to be developed in the project. This document is the first version of the DMP and may be updated throughout the project, if significant changes (new data, changes in consortium policies, changes in consortium composition, etc.) arise.

scholarly journals The FAIRness of data management plans: an assessment of some European DMPs

RECIIS ◽  
2021 ◽  
Vol 15 (3) ◽  
Author(s):  
Patricia Henning ◽  
Luis Olavo Bonino Da Silva ◽  
Luís Ferreira Pires ◽  
Marten Van Sinderen ◽  
João Luís Rebelo Moreira
Keyword(s):  
Best Practices ◽  
Data Management ◽  
Research Policy ◽  
Management Plan ◽  
Scientific Data ◽  
Funding Agencies ◽  
Address Data ◽  
Management Plans ◽  
Data Stewardship ◽  
Fair Principles

The FAIR principles have become a data management instrument for the academic and scientific community, since they provide a set of guiding principles to bring findability, accessibility, interoperability and reusability to data and metadata stewardship. Since their official publication in 2016 by Scientific Data – Nature, these principles have received worldwide recognition and have been quickly endorsed and adopted as a cornerstone of data stewardship and research policy. However, when put into practice, they occasionally result in organisational, legal and technological challenges that can lead to doubts and uncertainty as to whether the effort of implementing them is worthwhile. Soon after their publication, the European Commission and other funding agencies started to require that project proposals include a Data Management Plan (DMP) based on the FAIR principles. This paper reports on the adherence of DMPs to the FAIR principles, critically evaluating ten European DMP templates. We observed that the current FAIRness of most of these DMPs is only partly satisfactory, in that they address data best practices, findability, accessibility and sometimes preservation, but pay much less attention to metadata and interoperability.

scholarly journals Causes of Deforestation and Conservation of Madhupur Sal Forest in Tangail Region

2015 ◽  
Vol 6 (2) ◽  
pp. 109-114 ◽  
Author(s):  
MN Hossain ◽  
M Rokanuzzaman ◽  
MA Rahman ◽  
M Bodiuzzaman ◽  
MA Miah
Keyword(s):  
National Parks ◽  
Forest Ecosystem ◽  
Crop Production ◽  
Management Plan ◽  
Forest Resources ◽  
Fuel Wood ◽  
Rapid Reduction ◽  
The Past ◽  
Sal Forest ◽  
Global Concern

Over the past few decades deforestation has become the issue of global concern for its rapid reduction of biodiversity. The tropical moist deciduous Sal forest ecosystem of central Bangladesh is currently in a critical situation. Destructive anthropogenic and natural impacts coupled with overexploitation of forest resources have caused severe damage to the forest ecosystem. Due to rubber monoculture, expanding commercial fuel wood plantations & expanding agriculture, illegal cutting, encroachment of forest areas, and illegal poaching of wildlife, the Sal forest is losing biodiversity alarmingly. The study is based on intensive literature survey and tries to explore the overall deforestation situation and conservation practices for Madhupur Sal forest that comprises about 5% of the total forests in Bangladesh. The level of destruction of the natural Sal forest has pushed the forest-dwelling indigenous Garo community into cash crop production, forcing them to move away from their traditional subsistence economy. Now we need to address a joint conservation and improved management plan of the forest resources use. Thus all kinds of military establishments, construction of roads and highways for military purposes should be avoided and a policy of planned industrialization should be adopted to mitigate the adverse effect of industrialization. Findings of the study will help to identify the causes of deforestation and conservation of Madhupur Sal forest and also in other national parks in Bangladesh which ultimately conserve the biodiversity and help to maintain natural balance.DOI: http://dx.doi.org/10.3329/jesnr.v6i2.22105 J. Environ. Sci. & Natural Resources, 6(2): 109-114 2013

scholarly journals Statewide Water Planning: The Georgia Experience

2011 ◽  
Vol 43 (3) ◽  
pp. 357-366 ◽  
Author(s):  
Jeffrey D. Mullen
Keyword(s):  
Water Management ◽  
Water Use ◽  
Planning Process ◽  
Management Plan ◽  
The State ◽  
Water Planning ◽  
The Past ◽  
Extensive Effort ◽  
Recommended Practices ◽  
Regional Water

Several states in the southeast have acknowledged the need for statewide water planning but have yet to act. In contrast, Georgia is on the cusp of completing the Georgia Comprehensive Statewide Water Management Plan (SWMP). The SWMP provides for resource assessments, forecasts, and regional water planning. Over the past three years, an extensive effort has been made to implement the SWMP. This article describes the planning process undertaken in Georgia. Several of the recommended practices are also highlighted and critiqued with respect to their potential to affect aggregate water use in the state.

First wolves in Luxembourg since 1893, originating from the Alpine and Central European populations

Mammalia ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Laurent Schley ◽  
Marianne Jacobs ◽  
Sebastian Collet ◽  
Alexander Kristiansen ◽  
Jan Herr
Keyword(s):  
Canis Lupus ◽  
Dna Analysis ◽  
Carcass Characteristics ◽  
Management Plan ◽  
Apex Predator ◽  
Grey Wolf ◽  
Melting Pot ◽  
Central European ◽  
The Past ◽  
Hard Evidence

Abstract Considering the spread of the grey wolf (Canis lupus) in Europe over the past 30 years, Luxembourg took some measures to prepare for the return of this apex predator, including the establishment of a management plan that notably addresses the issue of wolf depredation on livestock. Here we present the results of genetic analyses of putative wolf saliva, hair and scat samples collected from or near prey carcasses between 2015 and 2020. In two cases, the wolf was confirmed via DNA analysis: in July 2017 near Garnich and in April 2020 near Niederanven, both assigned to category C1 (hard evidence). A third case was classified as C2 (confirmed observation) based on prey carcass characteristics, while genetic analysis yielded no result. These are the first confirmed records of wolves in Luxemburg since 1893. Moreover, the two C1-cases originated from the Alpine (Garnich) and Central European (Niederanven) populations. Given similar developments in the neighboring countries and regions, we conclude that the area including the Benelux countries as well as Rhineland-Palatinate, Saarland and Northern France may well become a melting pot for wolves of the two aforementioned populations in the coming years and decades.

scholarly journals Data Stewardship – addressing disciplinary data management needs

2018 ◽  
Author(s):  
Marta Teperek ◽  
Maria J. Cruz ◽  
Ellen Verbakel ◽  
Jasmin K. Böhmer ◽  
Alastair Dunning
Keyword(s):  
Data Management ◽  
Common Denominator ◽  
Management Support ◽  
Research Institutions ◽  
Multidisciplinary Research ◽  
University Of Technology ◽  
Address Data ◽  
Subject Specific ◽  
Data Stewardship ◽  
The Common

One of the biggest challenges for multidisciplinary research institutions which provide data management support to researchers is addressing disciplinary differences1. Centralised services need to be general enough to cater for all the different flavours of research conducted in an institution. At the same time, focusing on the common denominator means that subject-specific differences and needs may not be effectively addressed. In 2017, Delft University of Technology (TU Delft) embarked on an ambitious Data Stewardship project, aiming to comprehensively address data management needs across a multi-disciplinary campus. In this practice paper, we describe the principles behind the Data Stewardship project at TU Delft, the progress so far, we identify the key challenges and explain our plans for the future.

scholarly journals ITB Research Data Management Plan

2018 ◽  
Author(s):  
Dasapta Erwin Irawan
Keyword(s):  
Data Management ◽  
Management Plan ◽  
Research Data ◽  
Team Members ◽  
Research Data Management ◽  
Project Level

Here's the official ITB Research Data Management Plan. We use this plan as a template to design more detailed project-level RDMP. The document came from the work of ITB Repository Team that I lead. Team members: Sparisoma Viridi, Rino Mukti (I will add this list later). I invite everyone to re-use this document for their project-level RDMP.

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