Category «Information Mapping»

When scientific citations go rogue: Uncovering ‘sneaked references’

Reading and writing articles published in academic journals and presented at conferences is a central part of being a researcher. When researchers write a scholarly article, they must cite the work of peers to provide context, detail sources of inspiration and explain differences in approaches and results. A positive citation by other researchers is a key measure of visibility for a researcher’s own work. But what happens when this citation system is manipulated? A recent Journal of the Association for Information Science and Technology article by Lonni Besançon and Guillaume Cabanac and their team of academic sleuths – which includes information scientists, a computer scientist and a mathematician – has revealed an insidious method to artificially inflate citation counts through metadata manipulations: sneaked references.

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Subjects: Information Mapping, KM, Legal Research, Librarian Resources, Libraries & Librarians

Data Mining Resources 2022

Data mining and knowledge discovery is a quickly evolving field that is part of the portfolio of CI, BI and KM professionals, law librarians, research analysts, infopros, data scientists, data journalists and students in college and graduate programs. This expansive bibliography by Marcus P. Zillman comprises a wealth of information, resources, tools, techniques and applications, as well as links to many open datasets. The subject matter includes data mining, data scrapping, data aggregation, big data and big analytics. The resources include: ebooks and glossaries, research papers, video tutorials and online training, APIs, open source web data extraction tools, datasets, bibliographies, case studies, scientific and academic papers and substantive articles, as well as training and certifications on data mining, and open source code.

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Subjects: Big Data, Information Architecture, Information Mapping, KM, Legal Research, Legal Technology, Open Source, Technology Trends

A bit about PURLs

Ed Summers, librarian, metadata expert, teacher, and computational expert, delivers an insighful lesson on the Persistent Uniform Resource Locator. PURLs were developed to make URLs more resilient and persistent over time. You could put a PURL into a catalog record and if the URL it pointed to needed to change you changed the redirect on the PURL server, and all the places that pointed to the PURL didn’t need to change. It was a beautifully simple idea, and has influenced other approaches like DOI and Handle. But this simplicity depends on a commitment to keeping the PURL up to date.

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Subjects: Archives, Cataloging, Digital Archives, Information Architecture, Information Management, Information Mapping, Internet Resources - Web Links, KM, Reference Resources, Search Strategies

How Data Analytics Can Change the Way Law Firms Do Business

Lisa M. (Bradford) Mayo, Director of Data and Analytics at Ballard Spahr LLP identifies how and why data and analytics are on the forefront of much of the firm’s modern technology offerings. Unlike many firms, Ballard’s data and analytics function sits inside their Client Value and Innovation department, where they have some latitude with a research and development budget and the directive to “fail fast” if they determine a proof-of-concept did not meet our needs. The firm’s data management mission statement says in part that we “contribute to the firm’s strategic goals by using innovative technologies, a variety of flexible and adaptive data sources, artificial intelligence/machine learning, and ongoing data literacy education to help redefine the Firm’s internal performance objectives and accountability drivers and transform how the Firm delivers legal services to its clients.” Just 48 words but loaded with meaning and purpose, both for now and in the foreseeable future.

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Subjects: AI, Big Data, Case Management, Competitive Intelligence, Ethics, Information Architecture, Information Mapping, KM, Leadership, Legal Marketing, Technology Trends

Managing Metadata: An Examination of Successful Approaches

If Google can deliver results across the entire internet in seconds, why do I have so much trouble finding things in my organization?” asked Jonathan Adams, Research Director at Infogix, at the DATAVERSITY® DGVision Conference, December 2019. In a presentation titled, “I Never Metadata I did Not Like” Adams outlined successful approaches to understanding and managing metadata – as reported by Amber Lee Dennis.

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Subjects: Business Research, Competitive Intelligence, E-Discovery, Information Architecture, Information Management, Information Mapping, KM, Search Engines, Technology Trends

2020 KM + Innovation Survey Results

Ron Friedman’s extensively documented article reports on the survey to support the 2020 Strategic Knowledge + Innovation Legal Leaders’ Summit, which took place in early February 2020. The Summit is a meeting of about 65 senior knowledge management professionals from large US, UK, and Canadian law firms. The depth and breath of actionable information and data shared in this article makes it a critical read for law firm and corporate KM and Innovation professionals.

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Subjects: AI, Big Data, Case Management, Communication Skills, Communications, Contact Management, Data Mining, Digital Archives, Information Architecture, Information Mapping, KM, Leadership, Legal Marketing, Legal Technology, Management, Presentation Skills, Team Building

Terms, Tags, and Classification

It is helpful to classify documents or other content items to make them easier to find later. Searching the full text alone can retrieve inaccurate results or miss appropriate documents containing different words from the words entered into a search box. A document or content management system may include features for tagging, keywords, categories, indexing, etc. Taxonomist Heather Hedden identifies the difference between these elements to facilitate the implementation of more effective knowledge and content management.

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Subjects: Business Research, Case Management, Competitive Intelligence, E-Discovery, Information Architecture, Information Mapping, KM

Statistics Resources and Big Data on the Internet

Marcus P. Zillman has compiled a best practices bibliography of sites and reliable sources focused on the hot topic of statistics and big data. These sources are representative of multiple publishers, national and global – government, academia, NGOs, and industry, many of which leverage open source and collaborative applications.

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Subjects: Data Mining, Features, Information Mapping, Internet Resources, Internet Resources - Web Links, Open Source
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