scholarly journals The importance of open science for biological assessment of aquatic environments

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9539
Author(s):  
Marcus W. Beck ◽  
Casey O’Hara ◽  
Julia S. Stewart Lowndes ◽  
Raphael D. Mazor ◽  
Susanna Theroux ◽  
...  
Keyword(s):  
Open Science ◽  
Biological Assessment ◽  
Reproducible Research ◽  
Aquatic Environments ◽  
Data Preservation ◽  
The Core ◽  
Data Stewardship ◽  
Condition Assessments ◽  
Institutional Challenges

Open science principles that seek to improve science can effectively bridge the gap between researchers and environmental managers. However, widespread adoption has yet to gain traction for the development and application of bioassessment products. At the core of this philosophy is the concept that research should be reproducible and transparent, in addition to having long-term value through effective data preservation and sharing. In this article, we review core open science concepts that have recently been adopted in the ecological sciences and emphasize how adoption can benefit the field of bioassessment for both prescriptive condition assessments and proactive applications that inform environmental management. An example from the state of California demonstrates effective adoption of open science principles through data stewardship, reproducible research, and engagement of stakeholders with multimedia applications. We also discuss technical, sociocultural, and institutional challenges for adopting open science, including practical approaches for overcoming these hurdles in bioassessment applications.

Digital Preservation

2022 ◽  
pp. 352-368
Author(s):  
Cahyo Trianggoro ◽  
Abdurrakhman Prasetyadi
Keyword(s):  
Research Group ◽  
Digital Preservation ◽  
Research Data ◽  
Digital Collections ◽  
Previous Period ◽  
Data Preservation ◽  
The Core ◽  
Digital Format ◽  
New Challenges

In recent decades, libraries, archives, and museums have created digital collections that comprise millions of objects to provide long-term access to them. One of the core preservation activities deals with the evaluation of appropriate formats used for encoding digital content. The development of science has entered the 4th paradigm, where data has become much more intensive than in the previous period. This situation raises new challenges in managing research data, especially related to data preservation in digital format, which allows research data to be utilized for the long term. The development of science in the 4th paradigm allows researchers to collaborate with and reuse research datasets produced by a research group. To take advantage of each other's data, there is a principle that must be understood together, namely the FAIR principle, an acronym for findable, accessible, interoperable, and reusable.

scholarly journals Center for Open Science: Proposal for NSF 19-537 Mid-Scale Research Infrastructure

2019 ◽  
Author(s):  
Brian A. Nosek ◽  
Lucy Ofiesh ◽  
Nicole Pfeiffer ◽  
Sara D. Bowman ◽  
David M Litherland ◽  
...  
Keyword(s):  
Linear Growth ◽  
Open Science ◽  
Federal Agencies ◽  
Research Infrastructure ◽  
Research Progress ◽  
Reproducible Research ◽  
Management Support ◽  
Independent Evidence ◽  
Science Framework

The Center for Open Science (COS) proposes to undertake a Mid-scale RI-1 Implementation Project entitled, Expanding open infrastructure for robust, open, reproducible research, primarily in association with the SBE Directorate. Reproducibility is the ability to obtain independent evidence supporting scientific findings. Recent investigations suggest that reproducibility of published findings is lower than expected or desired, thus interfering with research progress. COS’s Open Science Framework (OSF) enables rigorous, reproducible science by providing collaboration, registration, and data management support across the entire research lifecycle. With support from NSF 19-537, OSF will become essential mainstream infrastructure supporting researchers’, institutions’, and federal agencies’ priorities to maximize return on investment in research. Adoption of open science behaviors via OSF will enable rigor and reproducibility in harnessing the data revolution, increase accessibility and inclusivity of research for all, stimulate discovery, and accelerate progress in science. Seeded with private philanthropy in 2012, the open-source OSF’s user base and key performance indicators have shown rapid, non-linear growth since inception. OSF is now a popular, robust, and important infrastructure for registering studies and analysis plans; managing and archiving research data, code, and materials; and accelerating open or controlled sharing of research outcomes and all supporting research contents. This mid-scale NSF research infrastructure grant will build on OSF’s success by meeting four major objectives: 1. Expand OSF functionality and workflows to meet the needs of a broad number of research disciplines and communities; 2. Integrate OSF with other established scholarly infrastructure to make search, discovery, transfer, and preservation of scholarly content and metadata more efficient; 3. Manage OSF design for efficient and sustainable long-term service; 4. Provide training to improve effectiveness of registration and results reporting and ensure inclusivity of beneficiaries to these innovations.

scholarly journals Long-Term Data Preservation Data Lifecycle, Standardisation Process, Implementation and Lessons Learned

2020 ◽  
Vol 15 (1) ◽  
pp. 10
Author(s):  
Mirko Albani ◽  
Iolanda Maggio ◽  
CEOS Data Stewardship Interest Group
Keyword(s):  
Earth Science ◽  
Data Curation ◽  
Observation Data ◽  
Science Data ◽  
Data Preservation ◽  
Data Stewardship ◽  
Data Lifecycle ◽  
Earth Observation Data ◽  
Earth Science Data

Science and Earth Observation data represent today a unique and valuable asset for humankind that should be preserved without time constraints and kept accessible and exploitable by current and future generations. In Earth Science, knowledge of the past and tracking of the evolution are at the basis of our capability to effectively respond to the global changes that are putting increasing pressure on the environment, and on human society. This can only be achieved if long time series of data are properly preserved and made accessible to support international initiatives. Within ESA Member States and beyond, Earth Science data holders are increasingly coordinating data preservation efforts to ensure that the valuable data are safeguarded against loss and kept accessible and useable for current and future generations. This task becomes increasingly challenging in view of the existing 40 years’ worth of Earth Science data stored in archives around the world and the massive increase of data volumes expected over the next years from e.g., the European Copernicus Sentinel missions. Long Term Data Preservation (LTDP) aims at maintaining information discoverable and accessible in an independent and understandable way, with supporting information, which helps ensuring authenticity, over the long term. A focal aspect of LTDP is data Curation. Data Curation refers to the management of data throughout its life cycle. Data Curation activities enable data discovery and retrieval, maintain its quality, add value, and allow data re-use over time. It includes all the processes that involve data management, such as pre-ingest initiatives, ingest functions, archival storage and preservation, dissemination, and provision of access for a designated community. The paper presents specific aspects, of importance during the entire Earth observation data lifecycle, with respect to evolving data volumes and application scenarios. These particular issues are introduced in the section on 'Big Data' and LTDP. The Data Stewardship Reference lifecycle section describes how the data stewardship activities can be efficiently organised, while the following section addresses the overall preservation workflow and shows the technical steps to be taken during Data Curation. Earth Science Data Curation and preservation should be addressed during all mission stages - from the initial mission planning, throughout the entire mission lifetime, and during the post- mission phase. The Data Stewardship Reference Lifecycle gives a high-level overview of the steps useful for implementing Curation and preservation rules on mission data sets from initial conceptualisation or receipt through the iterative Curation cycle.

Russia’s Development Strategy: Guidelines and Restrictions

2008 ◽  
pp. 119-130 ◽  
Author(s):  
V. Senchagov
Keyword(s):  
Economic Development ◽  
Development Strategy ◽  
Conceptual Basis ◽  
The Core ◽  
Economic Development Strategy ◽  
Socio Economic Development ◽  
Rates Of Growth

The core of Russia’s long-term socio-economic development strategy is represented by its conceptual basis. Having considered debating points about the essence and priority of the strategy, the author analyzes the logic and stages of its development as well as possibilities, restrictions and risks of high GDP rates of growth.

Semantic Desktop for the End-UserSemantic Desktop für Anwender

i-com ◽  
2009 ◽  
Vol 8 (3) ◽  
pp. 25-32 ◽  
Author(s):  
Gunnar Aastrand Grimnes ◽  
Benjamin Adrian ◽  
Sven Schwarz ◽  
Heiko Maus ◽  
Kinga Schumacher ◽  
...  
Keyword(s):  
Knowledge Management ◽  
Knowledge Work ◽  
Personal Knowledge ◽  
Term Study ◽  
The Core ◽  
Personal Knowledge Management ◽  
Long Term Study ◽  
Core Components

AbstractThis article describes the Semantic Desktop. We give insights into the core services that aim to improve personal knowledge management on the desktop. We describe these core components of our Semantic Desktop system and give evaluation results. Results of a long-term study reveal effects of using the Semantic Desktop on personal knowledge work.

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