DOI: 10.3897/arphapreprints.e194245

Authors: Michael Rubinigg

Abstract: This Data Management Plan (DMP), prepared as part of the deliverables of the EC REA (Grant Agreement 10135005) funded project “Understanding pesticide-pollinator interactions to support EU environmental risk assessment and policy” (PollinERA), represents a plan for data management agreed upon by the PollinERA consortium. This plan is in line with the policies of the consortium partner’s organisations, as defined by the organisation’s data management policies, and with the requirements of the sponsor, as defined in the Horizon Europe research and innovation funding programme.

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DOI: 10.3897/arphapreprints.e187632

Authors: Maria Söderholm, Maria Hällfors, Susana Baena, Claire Brown, Marcel Buchhorn, Jorrit Scholze

Abstract: The OBSGESSION project (Observation of Ecosystem Changes for Action, https://obsgession.eu/) aims to enhance terrestrial and freshwater biodiversity monitoring and policy by new approaches for integrating data and modelling, and by developing science-based solutions. This data management plan (DMP) provides details about the data to be collected, generated, and processed in OBSGESSION, as well as other outputs. It also outlines the key principles of data management practices, as required in the Horizon Europe Programme Guideline. The project is committed to following the policies of open science and research as the foundation for all activities, including data management. Data management in the project will adhere to the FAIR principles, ensuring that data is Findable, Accessible, Interoperable and Reusable. The plan also specifies that other outputs besides data will be managed in line with these principles whenever applicable.The project will utilise a variety of data and combine biodiversity data from multiple sources. The types of data included in the OBSGESSION project are experimental, observational, statistical, and qualitative data, such as interviews. The DMP outlines the overall data management practices for the duration of the data lifecycle within the framework of the FAIR principles and provides details on planned practices and data-specific considerations. This includes, among other things, producing metadata and other documentation related to the data. The plan also presents practices for ensuring data interoperability, reusability, and publication. Relevant metadata standards have been identified to make EO data interoperable. In addition, the DMP describes the In-Situ database, OpenEO platform and Data Cubes as tools and mechanisms for implementing interoperability and (re)usability of EO and in-situ data.

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DOI: 10.3897/rio.10.e124288

Authors: Mathias Dillen, Laura Abraham, Ann Bogaerts, Sofie De Smedt, Henry Engledow, Frederik Leliaert, Maarten Trekels, Steven Dessein, Quentin Groom

Abstract: This Data Management Plan outlines a comprehensive strategy for handling, storing, and sharing of data generated by digitisation projects of the herbarium at Meise Botanic Garden with Index Herbarium code BR. Its purpose is to establish clear guidelines for both staff and external users, specifying the terms governing data usage and storage. It aims to prioritise the FAIR principles (Findable, Accessible, Interoperable and Reusable), ensure responsible data management, facilitate long-term preservation, uphold legal and ethical obligations, all while aligning with the research excellence mission of Meise Botanic Garden. This plan serves as a guiding document to effectively and efficiently achieve these goals.

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DOI: 10.3897/arphapreprints.e102609

Authors: Lyubomir Penev, Teodor Georgiev, Boris Barov, Pavel Stoev, Kristina Hristova

Abstract: The  main goal of the BiCIKL project is to improve, for the first time, seamless access, linking and usage tracking of data within a network of Research Infrastructures managing different data classes (literature, specimens, samples, occurrences, sequences, taxon names and Operational Taxonomic Units (OTU)), ultimately represented also in a biodiversity knowledge graph. To achieve this, the consortium members will operate with huge amount of data during and after the end of the project.As a Horizon 2020 project, BiCIKL conforms to the Open Research Data Pilot (ORDP)1 and   Article 29.3 of the H2020 Model Grant Agreement by default, hence the consortium aims to improve and maximise access, sharing, linking and reuse of FAIR Open Research Data (ORD), generated or managed by the project. A detailed Data Management Plan is a critical part of   the ORDP. The DMP described in the present document is developed in BiCIKL within the first  six months of the project and it will evolve as a “living document” during the lifetime of the project and beyond in order to present the status of the project's reflections on data management.The BiCIKL DMP outlines the handling of research data and provides the basis of the project consortium’s data management life cycle for the data collected, generated and processed by the participants in the project. The DMP also covers the methodologies and standards previously developed for data sharing and open access, curation  and  preservation.  The subject of the DMP is the management of research data. Personal data management  is covered by deliverable D9.1 Protection of Personal Data.The BiCIKL DMP was developed in close collaboration with all project partners and involved Research Infrastructures (RI) who provided information on their data management practices and policies in a questionnaire and planned generation, collection, and processing of data for the purposes of building a resilient data management strategy of the project which meets all criteria for open research.This DMP aims to adhere to the FAIR (Findable, Accessible, Interoperable, Reusable) data management criteria of Horizon 20202.

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DOI: 10.3897/rio.7.e60614

Authors: Amelie Derobert, Françoise Lantheaume

Abstract: This data management plan was created using the OPIDoR (Optimiser le partage et l'interopérabilié des données de la recherche/ Tools and services to support french research data mangement). It describes all data collected and created as part of the postdoctoral research for the project "Circulation of knowledge: between sciences, policies, and practices in education (CIVOIR)" under the scientific direction of Professor Françoise Lantheaume and with the participation of German Fernandez Vavrik, University Lumiere Lyon 2, France. The data produced in this survey was collected through a mechanism specifically created for this project: the cooperative laboratory - CoopLa.

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DOI: 10.3897/rio.4.e28163

Authors: Dasapta Irawan, Cut Rachmi

Abstract: Every researcher needs data in their working ecosystem, but despite of the resources (funding, time, and energy), that they have spent to get the data, only a few are putting more real attention to data management. This paper is mainly describing our recommendation of RDMP document at university level. This paper would be a form of our initiative to be developed at university or national level, which also in-line with current development in scientific practices mandating data sharing and data re-use. Researchers can use this article as an assessment form to describe the setting of their research and data management. Researcher can also develop more detail RDMP to cater specific project's environment. In this Research Data Management Plan (RDMP), we propose three levels of storage: offline working storage, offline backup storage and online-cloud backup storage, located on a shared-repository. We also propose two kinds of cloud repository: a dynamic repository to store live data and a static repository to keep a copy of final data. Hopefully, this RDMP could solve problems on data sharing and preservation, and additionally could increase researchers' awareness about data management to increase the value and impact of their researches.

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DOI: 10.3897/rio.3.e15111

Authors: Cath Traynor

Abstract: The 'Empowering Indigenous Peoples and Knowledge Systems Related to Climate Change and Intellectual Property Rights' project examines processes of open and collaborative science related to indigenous peoples knowledge, climate change and intellectual property rights. It assumes and challenges practices of open science as a process, one that should involve modes of being both open and closed. The project takes history into account when considering how indigenous peoples' are producing knowledge related to climate change and how such knowledge maybe characterized as indigenous peoples' intellectual property and/or impacted by dominant intellectual property regimes. The central questions the research is addressing are: (i) How is climate change impacting indigenous Nama and Griqua communities? (ii) How are these communities producing indigenous knowledge related to addressing climate change and offering alternative strategies? (iii)How do indigenous Nama and Griqua characterize their knowledge as indigenous intellectual property (or not) and decide to openly share their knowledge (or not) internally or with the outside public? (iv) How and what types of laws and policies (including intellectual property rights) promote and/or hinder these indigenous strategies and open collaboration with the public? The data are being collected and created to answer these main questions. Furthermore, the researchers are critically tracking the research process itself and this data will be scrutinized to provide information on the open and collaborative science process and dilemmas and tensions around openness issues.

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DOI: 10.3897/rio.3.e14837

Authors: Lynn Woolfrey

Abstract: The purpose of this project is to demonstrate that tobacco-related data from selected Africa countries can be collected and distributed from an Open Data platform. The platform and data will improve the capacity for tobacco control research in key sub-Saharan African countries, and help develop a continent-wide research approach to tobacco control. 

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DOI: 10.3897/rio.3.e15133

Authors: Reem Wael

Abstract: HarassMap is an Egyptian organisation that works to create an environment where sexual harassment is not tolerated, and where individuals and institutions take action against it. For the purpose of this project, the project team cleaned up, organised, and made openly available for the public to access and use through a web portal, three main types of data: Crowdsourced reports of sexual harassment incidents (reports on HarassMap’s online reporting and mapping system) - CSV and XLS Field data from HarassMap’s research on sexual harassment using traditional qualitative and quantitative research methods - DOCX, PDF, SAV, MP3 Social media conversations (comment threads and messages related to sexual harassment on harassMap’s Facebook page) - XLS The social media data was collected retrospectively from our Facebook page during the project period and covers the period 2010-2016. The crowdsourced data and the research data was cleaned and organised to make sure it is usable for the public but still kept in its raw format. During the collection and organisation period, we also made sure to clear out all personal identifiers from the data to ensure anonymity and confidentiality, and prepared descriptions of each dataset that will help the public understand how the data was collected and how it can and cannot be used. The data is stored online on a web portal that we built together with a web developer during the project period. On the web portal, the data is available for the public to view, search and download for research or other purposes. The data is also backed up on a hard drive and the cloud. The web portal and HarassMap open data will be advertised on our website, and the direct link shared with our contacts and others who approach us with interest in our data.

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DOI: 10.3897/rio.3.e14672

Authors: Cameron Neylon

Abstract: This is the Data Management Plan for the project "Exploring the opportunities and challenges of implementing open research strategies within development institutions" the proposal for which was published as https://doi.org/10.3897/rio.2.e8880. The research proposal calls for support for a pilot project to conduct open data pilot case studies with eight (8) IDRC grantees to develop and implement open data management and sharing plans. The results of the case studies will serve to refine guidelines for the implementation of development research funders’ open research data policies.

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DOI: 10.3897/rio.3.e14675

Authors: Dora Ann Lange Canhos

Abstract: The goal of the Brazil Virtual Herbarium is to facilitate the identification of taxonomic and geographic information gaps of plants and fungi of Brazil. The system displays the status of online data for all valid species in the List of Species of the Brazilian Flora, including those without any record. The system also compares the Brazilian states where specialists indicate that the species occurs with the states that have occurrence points in Brazil's Virtual Herbarium, highlighting the gaps. This data management plan was prepared as part of a pilot project run on behalf of the International Development Research Centre (Canada) on data management policy for development funders (https://doi.org/10.3897/rio.2.e8880).

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DOI: 10.3897/rio.3.e11624

Authors: Laurent Gatto

Abstract:

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DOI: 10.3897/rio.2.e11065

Authors: Hong Xu, Mayu Ishida, Minglu Wang

Abstract:

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DOI: 10.3897/rio.2.e10708

Authors: Ethan White

Abstract:

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DOI: 10.3897/rio.2.e10600

Authors: Jennifer Pannell

Abstract:

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DOI: 10.3897/rio.2.e10269

Authors: Harvey Nichols, Susann Stolze

Abstract:

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DOI: 10.3897/rio.2.e9419

Authors: Jeri Fey, Suzanne Anderson

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DOI: 10.3897/rio.2.e8827

Authors: Jennifer McWhorter, Darren Wright, Julie Thomas

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DOI: 10.3897/rio.2.e8720

Authors: Josh Fisher, Alex Nading

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DOI: 10.3897/rio.2.e8664

Authors: Jennifer Pannell

Abstract:

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