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All sourcesNASA NTRSDOE OSTI
DOE OSTI2012

D and D Knowledge Management Information Tool - 2012 - 12106

Deactivation and decommissioning (D and D) work is a high priority activity across the Department of Energy (DOE) complex. Subject matter specialists (SMS) associated with the different ALARA (As-Low-As-Reasonably-Achievable) Centers, DOE sites, Energy Facility Contractors Group (EFCOG) and the D and D community have gained extensive knowledge and experience over the years in the cleanup of the legacy waste from the Manhattan Project. To prevent the D and D knowledge and expertise from being lost over time from the evolving and aging workforce, DOE and the Applied Research Center (ARC) at Florida International University (FIU) proposed to capture and maintain this valuable information in a universally available and easily usable system. D and D KM-IT provides single point access to all D and D related activities through its knowledge base. It is a community driven system. D and D KM-IT makes D and D knowledge available to the people who need it at the time they need it and in a readily usable format. It uses the World Wide Web as the primary source for content in addition to information collected from subject matter specialists and the D and D community. It brings information in real time through web based custom search processes and its dynamic knowledge repository. Future developments include developing a document library, providing D and D information access on mobile devices for the Technology module and Hotline, and coordinating multiple subject matter specialists to support the Hotline. The goal is to deploy a high-end sophisticated and secured system to serve as a single large knowledge base for all the D and D activities. The system consolidates a large amount of information available on the web and presents it to users in the simplest way possible. (authors)

12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE W↗
DOE OSTI2011

What Hansel and Gretel’s Trail Teach Us about Knowledge Management

Background At Idaho National Laboratory (INL), we are on the cusp of a significant era of change. INL is the lead Department of Energy Nuclear Research and Development Laboratory, focused on finding innovative solutions to the nation’s energy challenges. Not only has the Laboratory grown at an unprecedented rate over the last five years, but also has a significant segment of its workforce that is ready for retirement. Over the next 10 years, it is anticipated that upwards of 60% of the current workforce at INL will be eligible for retirement. Since the Laboratory is highly dependent on the intellectual capabilities of its scientists and engineers and their efforts to ensure the future of the nation’s energy portfolio, this attrition of resources has the potential of seriously impacting the ability of the Laboratory to sustain itself and the growth that it has achieved in the past years. Similar to Germany in the early nineteenth century, we face the challenge of our self-identity and must find a way to solidify our legacy to propel us into the future. Approach As the Brothers Grimm set out to collect their fairy tales, they focused on gathering information from the people that were most knowledgeable in the subject. For them, it was the peasants, with their rich knowledge of the region’s sub-culture of folk lore that was passed down from generation to generation around the evening fire. As we look to capture this tacit knowledge, it is requisite that we also seek this information from those individuals that are most versed in it. In our case, it is the scientists and researchers who have dedicated their lives to providing the nation with nuclear energy. This information comes in many forms, both digital and non-digital. Some of this information still resides in the minds of these scientists and researchers who are close to retirement, or who have already retired. Once the information has been collected, it has to be sorted through to identify where the “shining stones” can be found. The quantity of this information makes it improbable for an individual or set of individuals to sort through it and pick out those ideas which are most important. To accomplish both the step of information capture and classification, modern advancements in technology give us the tools that we need to successfully capture this tacit knowledge. To assist in this process, we have evaluated multiple tools and methods that will help us to unlock the power of tacit knowledge. Tools The first challenge that stands in the way of success is the capture of information. More than 50 years of nuclear research is captured in log books, microfiche, and other non-digital formats. To transform this information from its current form into a format that can “shine,” requires a number of different tools. These tools fall into three major categories: Information Capture, Content Retrieval, and Information Classification. Information Capture The first step is to capture the information from a myriad of sources. With knowledge existing in multiple formats, this step requires multiple approaches to be successful. Some of the sources that require consideration include handwritten documents, typed documents, microfiche, images, audio and video feeds, and electronic images. To make this step feasible for a large body of knowledge requires automation.

99 GENERAL AND MISCELLANEOUS↗
NASA NTRS1999

Knowledge Management at JPL

Explore the source record for details and available documents.

knowledge architecture knowledge resources knowled↗
NASA NTRS1990

Concurrent engineering design and management knowledge capture

The topics are presented in viewgraph form and include the following: real-time management, personnel management, project management, conceptual design and decision making; the SITRF design problem; and the electronic-design notebook.

Source record↗
DOE OSTI2017

Knowledge Management in the Field of Nuclear Energy - How to Bridge the Gap between Retiring Workforce and Next Generations - 17101

The current phase-out decision of the German Federal Government and the 'Energiewende' - resulting from the Fukushima Daiichi Accident in 2011 - changed the nuclear market significantly. Together with the change in political and social attitude towards nuclear energy since 2002 it has contributed to a decline in technical expertise. This as well as the generation change in the nuclear technology lead to the risk of losing accumulated knowledge and experience which still are essential for the future - not only in Germany but in other countries - even though the focus in Germany will shift from operating to decommissioning, dismantling and radioactive waste management. A long-term strategy in order to preserve technical expertise to solve the forthcoming tasks in Germany was required. This strategy should include e.g. the implementation of technical programs not only for internal training of the staff but also for authorities. Together with authorities TUV NORD developed individual training concepts for a broad range of customers to preserve a transfer of know-how with the state-of-the-art in science and technology and even support international projects, especially in countries with less experience in the nuclear fields. Additionally, special data bases were developed in order to ensure the accessibility of long-term nuclear data storage. Furthermore technical conferences in different fields like decommissioning and radioactive waste disposal were established as an opportunity for knowledge exchange. Based on given examples it is being demonstrated how technical expertise can be preserved even though the field of nuclear energy in Germany has changed. (authors)

21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS↗
NASA NTRS2004

Realtime Knowledge Management (RKM): From an International Space Station (ISS) Point of View

We are developing automated methods to provide realtime access to spacecraft domain knowledge relevant a spacecraft's current operational state. The method is based upon analyzing state-transition signatures in the telemetry stream. A key insight is that documentation relevant to a specific failure mode or operational state is related to the structure and function of spacecraft systems. This means that diagnostic dependency and state models can provide a roadmap for effective documentation navigation and presentation. Diagnostic models consume the telemetry and derive a high-level state description of the spacecraft. Each potential spacecraft state description is matched against the predictions of models that were developed from information found in the pages and sections in the relevant International Space Station (ISS) documentation and reference materials. By annotating each model fragment with the domain knowledge sources from which it was derived we can develop a system that automatically selects those documents representing the domain knowledge encapsulated by the models that compute the current spacecraft state. In this manner, when the spacecraft state changes, the relevant documentation context and presentation will also change.

Robinson, Peter I.↗
NASA NTRS2000

Expert Seeker: A People-Finder Knowledge Management System

The first objective for this report was to perform a comprehensive research of industry models currently being used for similar purposes, in order to provide the Center with ideas of what is being done in area by private companies and government agencies. The second objective was to evaluate the use of taxonomies or ontologies to describe and catalog the areas of expertise at GSFC. The creation of a knowledge taxonomy is necessary for information extraction in order for The Expert Seeker to adequately search and find experts in a particular area of expertise. The requirements to develop a taxonomy are: provide minimal descriptive text; have the appropriate level of abstration; facilitate browsing; ease of use and speed of data entry are critical for success; customized to the organization and its culture; extent of knowledge areas; expandable, so new skills could be develop; could be complemented with free text fields to allow users the option to describe their knowledge in detail.

Becerra-Fernandez, Irma↗