This is a talk from the Coalition for Networked Information Fall 2010 Member Meeting (CNIfall2010). I talked about our project to use Fedora as archival storage for social science research data and documentation.
This document discusses the need for standardized indexing in HDF5 to facilitate querying and subsetting large scientific datasets. It proposes an H5IN API with two functions: Create_index to build indexes on HDF5 datasets, and Query to search indexed datasets and return matching subsets. The initial prototype focuses on single-dataset projection indexes for simple boolean queries, storing indexes in separate datasets for portability. The goal is to prove the concept and pave the way for more advanced indexing capabilities and queries in HDF5.
II-SDV 2016 Michael Iarrobino - Improving Text Mining Results with Access to ...Dr. Haxel Consult
Life science companies increasingly rely on text mining to gain important insights from vast amounts of published information. But researchers struggle to get access to full-text articles for text mining. When they do get the full text they must contend with multiple formats and inconsistent license terms – all of which inhibit text mining efforts. In this presentation, we will describe the value in mining full-text scientific literature and outline the issues researchers face in accessing and licensing this content for commercial purposes. We will provide a walkthrough of Copyright Clearance Center’s (CCC) RightFind™ XML for Mining solution and contrast this with other approaches to solving these time-consuming content and licensing challenges. CCC is the parent organization of RightsDirect.
1) Physical files exist on storage while logical files are how programs view files without knowing the actual physical file.
2) Opening files creates a new file or accesses an existing one, while closing files frees up the file descriptor for another file and ensures all output is written.
3) Core file processing operations include reading, writing, and seeking within a file.
The document discusses four types of file organization: serial, sequential, indexed sequential, and direct access/random access. Serial files store records in the order they are received with no particular sequence. Sequential files store records in key sequence and require creating a new file when adding or deleting records. Indexed sequential files add an index to a sequential file to allow both sequential and random access by key. Direct access files store records at known addresses to allow directly accessing any record.
II-SDV 2014 Design and development of a novel Patent Alerting Service (Bayer ...Dr. Haxel Consult
This document describes the design and development of a novel patent alerting system. The system uses advanced text mining to filter and categorize newly published patents into clearly defined project folders based on criteria like medical conditions, technologies, and compound classes. It adds key details and chemical structures to enriched patent records. Users can search, browse, and filter alerts and patent records. The system provides a powerful and precise way to track intellectual property in specific topics and represents an improvement over existing commercial alerting services.
EXTRA is an open source rules based classification engine, developed by IPTC supported by a grant from Google DNI. Why are rules better than machine learning for breaking news? How can automation better support the manual crafting of news rules.
This document summarizes Mercè Crosas's presentation on the expanding dataverse and advances in data publishing. It discusses the growth of digital data and need for data citation, repositories, and metadata to make data discoverable, accessible, and reusable. The Dataverse software provides a framework for publishing data across different repository types. Recent improvements allow for rigorous data citation compliant with principles, rich metadata, support for public and restricted data, and publication workflows. Future areas of focus include integration with other systems, support for sensitive data, and expanding data citation and APIs.
Introduction to Redis Data Structures: Sets ScaleGrid.io
In this overview of Redis Data Sets, we'll present:
What is Redis?
What are Redis sets?
Common use cases for Redis sets
Set operations in Redis
Internal implementation
Redis Sets vs. Redis Bitmaps
This document discusses the need for standardized indexing in HDF5 to facilitate querying and subsetting large scientific datasets. It proposes an H5IN API with two functions: Create_index to build indexes on HDF5 datasets, and Query to search indexed datasets and return matching subsets. The initial prototype focuses on single-dataset projection indexes for simple boolean queries, storing indexes in separate datasets for portability. The goal is to prove the concept and pave the way for more advanced indexing capabilities and queries in HDF5.
II-SDV 2016 Michael Iarrobino - Improving Text Mining Results with Access to ...Dr. Haxel Consult
Life science companies increasingly rely on text mining to gain important insights from vast amounts of published information. But researchers struggle to get access to full-text articles for text mining. When they do get the full text they must contend with multiple formats and inconsistent license terms – all of which inhibit text mining efforts. In this presentation, we will describe the value in mining full-text scientific literature and outline the issues researchers face in accessing and licensing this content for commercial purposes. We will provide a walkthrough of Copyright Clearance Center’s (CCC) RightFind™ XML for Mining solution and contrast this with other approaches to solving these time-consuming content and licensing challenges. CCC is the parent organization of RightsDirect.
1) Physical files exist on storage while logical files are how programs view files without knowing the actual physical file.
2) Opening files creates a new file or accesses an existing one, while closing files frees up the file descriptor for another file and ensures all output is written.
3) Core file processing operations include reading, writing, and seeking within a file.
The document discusses four types of file organization: serial, sequential, indexed sequential, and direct access/random access. Serial files store records in the order they are received with no particular sequence. Sequential files store records in key sequence and require creating a new file when adding or deleting records. Indexed sequential files add an index to a sequential file to allow both sequential and random access by key. Direct access files store records at known addresses to allow directly accessing any record.
II-SDV 2014 Design and development of a novel Patent Alerting Service (Bayer ...Dr. Haxel Consult
This document describes the design and development of a novel patent alerting system. The system uses advanced text mining to filter and categorize newly published patents into clearly defined project folders based on criteria like medical conditions, technologies, and compound classes. It adds key details and chemical structures to enriched patent records. Users can search, browse, and filter alerts and patent records. The system provides a powerful and precise way to track intellectual property in specific topics and represents an improvement over existing commercial alerting services.
EXTRA is an open source rules based classification engine, developed by IPTC supported by a grant from Google DNI. Why are rules better than machine learning for breaking news? How can automation better support the manual crafting of news rules.
This document summarizes Mercè Crosas's presentation on the expanding dataverse and advances in data publishing. It discusses the growth of digital data and need for data citation, repositories, and metadata to make data discoverable, accessible, and reusable. The Dataverse software provides a framework for publishing data across different repository types. Recent improvements allow for rigorous data citation compliant with principles, rich metadata, support for public and restricted data, and publication workflows. Future areas of focus include integration with other systems, support for sensitive data, and expanding data citation and APIs.
Introduction to Redis Data Structures: Sets ScaleGrid.io
In this overview of Redis Data Sets, we'll present:
What is Redis?
What are Redis sets?
Common use cases for Redis sets
Set operations in Redis
Internal implementation
Redis Sets vs. Redis Bitmaps
The document discusses different types of files and the File class in Java. It explains that all files are collections of bytes to the computer, which are interpreted as text, numbers, images, etc. by software. Files can be categorized as text files containing ASCII characters or binary files containing other data types. The File class represents files and directories, and allows checking if a file exists, getting its length and name, and determining if it can be read or written. Methods like list() are used to get all files in a directory.
Introduction to Redis Data Structures: Sorted SetsScaleGrid.io
We provide an overview on what Redis is, what are sorted sets, common use cases for sorted sets, sorted set operations in Redis, internal implementation, and a comparison of Redis hashes and Redis sorted sets.
Data carving using artificial headers info sec conferenceRobert Daniel
This document proposes a new approach to data carving called File Recovery using Artificial Headers (FRAH) that can recover files with corrupted or missing headers. An evaluation of existing data carving tools found they have difficulty recovering fragmented files. FRAH works by inserting an artificial header onto files to circumvent missing headers. Testing showed FRAH could successfully recover files that standard tools could not. However, FRAH has limitations in recovering files where payload data is also missing. Further research is needed to make FRAH more robust.
This document discusses best practices for data organization, documentation, and metadata. It recommends using open standard file formats that will remain readable over time, consistent file naming conventions with descriptive names, and version control for files. Metadata should include descriptive, technical, and administrative information to document the data and ensure it can be understood and managed. Good documentation involves information on the data collection process and dataset structure.
This is module 10 in the EDI Data Publishing training course. In this module, you will receive an introduction to what a data package is, how DOIs are assigned to data packages, and the repository's steps to insert a data package.
A basic course on Reseach data management, part 2: protecting and organizing ...Leon Osinski
A basic course on research data management for PhD students. The course consists of 4 parts. The course was given at Eindhoven University of Technology (TUe), 24-01-2017
ICIC 2014 Increasing the efficiency of pharmaceutical research through data i...Dr. Haxel Consult
The pressures of pharmaceutical research and development demand increasing efficiency from scientists. High-quality decisions must be made faster and encompass all available information. At the same time there is a growing desire to better utilize the multi-billion dollar research investment recorded in laboratory notebooks and bioassay databases. Key values for data integration in a data exploration environment include gathering data from disparate E-notebooks and bioassay databases into a single searchable “virtual” system and increased discoverability by accessing data through a system designed for exploration. Key benefits are better chemistry decisions through easier access to broader data and reduced time for preparing patent filings. The ability to interlink in-house and reported assay data with in-house and published chemistry provides a data-rich environment for developing insights and predictive models. We will discuss our experience with integrating information from journals, patents, bio-assay databases, and E-lab notebooks to address these needs.
A basic course on Research data management, part 3: sharing your dataLeon Osinski
A basic course on research data management for PhD students. The course consists of 4 parts. The course was given at Eindhoven University of Technology (TUe), 24-01-2017
This document summarizes a presentation on the Hypatia platform, which was developed to help archivists manage, preserve, and provide access to digital archival materials. Key points include:
- Hypatia is an open source software based on Hydra and Fedora that aims to be a repository solution for digital archives.
- It grew out of the Archives Information Management System (AIMS) project and leverages the Hydra framework.
- The presentation covered Hypatia's functional requirements gathering, data models, demonstration of capabilities, and plans for future development and community involvement.
2013 CrossRef Annual Meeting System Update Chuck KoscherCrossref
The system update 2013 document summarizes notable changes to CrossRef's deposit and query systems, including allowing deposits of stand-alone CrossMark and FundRef data, inclusion of MathML in article titles and abstracts, ability to query on Orcids, improved data replication, and hardware upgrades. It also provides statistics on DOI clicks and source articles for the year. Plans for the future include assigning multiple DOIs to books from different members and allowing references to non-CrossRef DOIs such as those assigned to databases.
This session covers topics related to data archiving and sharing. This includes data formats, metadata, controlled vocabularies, preservation, archiving and repositories.
This document discusses primary and secondary storage. Secondary storage is used for permanent storage of data in files and has greater storage capacity than primary storage. A file contains records with fields, and each record is uniquely identified by a key field like student ID. Logical files connect programs to physical files on secondary storage. Files can be accessed sequentially, randomly using indexing, or directly using the key value.
This is module 11 in the EDI Data Publishing training course. In this module, you will learn the procedure to upload a data package to the EDI Repository.
This presentation discusses ORCID and how organizations can integrate it. ORCID is a system for researchers to create unique identifiers that link to their work such as publications. It is not a journal database and identifiers are for individuals, not organizations. The presentation recommends that journals and universities become ORCID members to authenticate user identities and automatically update publications to user profiles. This benefits researchers by saving time managing information in one place. Integration involves using the ORCID API to collect, display, and synchronize user data between systems and the ORCID registry.
Hdf Augmentation: Interoperability in the Last MileTed Habermann
Science data files are generally written to serve well-defined purposes for a small science teams. In many cases, the organization of the data and the metadata are designed for custom tools developed and maintained by and for the team. Using these data outside of this context many times involves restructuring, re-documenting, or reformatting the data. This expensive and time-consuming process usually prevents data reuse and thus decreases the total life-cycle value of the data considerably. If the data are unique or critically important to solving a particular problem, they can be modified into a more generally usable form or metadata can be added in order to enable reuse. This augmentation process can be done to enhance data for the intended purpose or for a new purpose, to make the data available to new tools and applications, to make the data more conventional or standard, or to simplify preservation of the data. The HDF Group has addressed augmentation needs in many ways: by adding extra information, by renaming objects or moving them around in the file, by reducing complexity of the organization, and sometimes by hiding data objects that are not understood by specific applications. In some cases these approaches require re-writing the data into new files and in some cases it can be done externally, without affecting the original file. We will describe and compare several examples of each approach.
The document discusses citing and linking data through various discovery services. It identifies the three main search engines for discovering data as EDI Data Search, DataONE Data Search, and Google Dataset Search. It provides instructions for creating a local data catalog on a website by linking data titles and URLs. Additionally, it promotes getting an ORCID identifier to link research profiles and notes the growing number of EDI services that help with data reuse, including ingestion scripts, APIs, notifications, and provenance tracking.
EXTRA Open Source Rules Classification for NewsStuart Myles
EXTRA is a rules-based system for classifying news articles using metadata. It was developed by the IPTC as open source software to apply taxonomy topics like those used in news publishing. Rules are written in a custom language and applied using Elasticsearch's percolator to match articles. The system provides tools for authoring rules defined in a schema, testing them on sample corpora, and managing the classification process. Its first phase is due to be completed in summer 2017 and its developers are seeking feedback and interest in a potential second phase.
Barcelona 2014: CrossRef System and Support Update by Chuck KoscherCrossref
The document summarizes updates to the CrossRef system. It notes new features like cross-publisher reference linking, metadata feeds to content management systems, originality screening, and text and data mining. It provides statistics on DOI clicks and source articles. It outlines improvements to deposits, inclusion of additional metadata like FundRef and text mining licenses, support for ORCIDs and queries. Notable changes include new FundRef and access indicator metadata, assigning multiple DOIs to books, and allowing references to non-CrossRef DOIs like those in DataCite.
In this talk we will discuss what happens to data when it is written from the HDF5 application to an HDF5 file. This knowledge will help developers to write more efficient applications and to avoid performance bottlenecks.
The document discusses different types of files and the File class in Java. It explains that all files are collections of bytes to the computer, which are interpreted as text, numbers, images, etc. by software. Files can be categorized as text files containing ASCII characters or binary files containing other data types. The File class represents files and directories, and allows checking if a file exists, getting its length and name, and determining if it can be read or written. Methods like list() are used to get all files in a directory.
Introduction to Redis Data Structures: Sorted SetsScaleGrid.io
We provide an overview on what Redis is, what are sorted sets, common use cases for sorted sets, sorted set operations in Redis, internal implementation, and a comparison of Redis hashes and Redis sorted sets.
Data carving using artificial headers info sec conferenceRobert Daniel
This document proposes a new approach to data carving called File Recovery using Artificial Headers (FRAH) that can recover files with corrupted or missing headers. An evaluation of existing data carving tools found they have difficulty recovering fragmented files. FRAH works by inserting an artificial header onto files to circumvent missing headers. Testing showed FRAH could successfully recover files that standard tools could not. However, FRAH has limitations in recovering files where payload data is also missing. Further research is needed to make FRAH more robust.
This document discusses best practices for data organization, documentation, and metadata. It recommends using open standard file formats that will remain readable over time, consistent file naming conventions with descriptive names, and version control for files. Metadata should include descriptive, technical, and administrative information to document the data and ensure it can be understood and managed. Good documentation involves information on the data collection process and dataset structure.
This is module 10 in the EDI Data Publishing training course. In this module, you will receive an introduction to what a data package is, how DOIs are assigned to data packages, and the repository's steps to insert a data package.
A basic course on Reseach data management, part 2: protecting and organizing ...Leon Osinski
A basic course on research data management for PhD students. The course consists of 4 parts. The course was given at Eindhoven University of Technology (TUe), 24-01-2017
ICIC 2014 Increasing the efficiency of pharmaceutical research through data i...Dr. Haxel Consult
The pressures of pharmaceutical research and development demand increasing efficiency from scientists. High-quality decisions must be made faster and encompass all available information. At the same time there is a growing desire to better utilize the multi-billion dollar research investment recorded in laboratory notebooks and bioassay databases. Key values for data integration in a data exploration environment include gathering data from disparate E-notebooks and bioassay databases into a single searchable “virtual” system and increased discoverability by accessing data through a system designed for exploration. Key benefits are better chemistry decisions through easier access to broader data and reduced time for preparing patent filings. The ability to interlink in-house and reported assay data with in-house and published chemistry provides a data-rich environment for developing insights and predictive models. We will discuss our experience with integrating information from journals, patents, bio-assay databases, and E-lab notebooks to address these needs.
A basic course on Research data management, part 3: sharing your dataLeon Osinski
A basic course on research data management for PhD students. The course consists of 4 parts. The course was given at Eindhoven University of Technology (TUe), 24-01-2017
This document summarizes a presentation on the Hypatia platform, which was developed to help archivists manage, preserve, and provide access to digital archival materials. Key points include:
- Hypatia is an open source software based on Hydra and Fedora that aims to be a repository solution for digital archives.
- It grew out of the Archives Information Management System (AIMS) project and leverages the Hydra framework.
- The presentation covered Hypatia's functional requirements gathering, data models, demonstration of capabilities, and plans for future development and community involvement.
2013 CrossRef Annual Meeting System Update Chuck KoscherCrossref
The system update 2013 document summarizes notable changes to CrossRef's deposit and query systems, including allowing deposits of stand-alone CrossMark and FundRef data, inclusion of MathML in article titles and abstracts, ability to query on Orcids, improved data replication, and hardware upgrades. It also provides statistics on DOI clicks and source articles for the year. Plans for the future include assigning multiple DOIs to books from different members and allowing references to non-CrossRef DOIs such as those assigned to databases.
This session covers topics related to data archiving and sharing. This includes data formats, metadata, controlled vocabularies, preservation, archiving and repositories.
This document discusses primary and secondary storage. Secondary storage is used for permanent storage of data in files and has greater storage capacity than primary storage. A file contains records with fields, and each record is uniquely identified by a key field like student ID. Logical files connect programs to physical files on secondary storage. Files can be accessed sequentially, randomly using indexing, or directly using the key value.
This is module 11 in the EDI Data Publishing training course. In this module, you will learn the procedure to upload a data package to the EDI Repository.
This presentation discusses ORCID and how organizations can integrate it. ORCID is a system for researchers to create unique identifiers that link to their work such as publications. It is not a journal database and identifiers are for individuals, not organizations. The presentation recommends that journals and universities become ORCID members to authenticate user identities and automatically update publications to user profiles. This benefits researchers by saving time managing information in one place. Integration involves using the ORCID API to collect, display, and synchronize user data between systems and the ORCID registry.
Hdf Augmentation: Interoperability in the Last MileTed Habermann
Science data files are generally written to serve well-defined purposes for a small science teams. In many cases, the organization of the data and the metadata are designed for custom tools developed and maintained by and for the team. Using these data outside of this context many times involves restructuring, re-documenting, or reformatting the data. This expensive and time-consuming process usually prevents data reuse and thus decreases the total life-cycle value of the data considerably. If the data are unique or critically important to solving a particular problem, they can be modified into a more generally usable form or metadata can be added in order to enable reuse. This augmentation process can be done to enhance data for the intended purpose or for a new purpose, to make the data available to new tools and applications, to make the data more conventional or standard, or to simplify preservation of the data. The HDF Group has addressed augmentation needs in many ways: by adding extra information, by renaming objects or moving them around in the file, by reducing complexity of the organization, and sometimes by hiding data objects that are not understood by specific applications. In some cases these approaches require re-writing the data into new files and in some cases it can be done externally, without affecting the original file. We will describe and compare several examples of each approach.
The document discusses citing and linking data through various discovery services. It identifies the three main search engines for discovering data as EDI Data Search, DataONE Data Search, and Google Dataset Search. It provides instructions for creating a local data catalog on a website by linking data titles and URLs. Additionally, it promotes getting an ORCID identifier to link research profiles and notes the growing number of EDI services that help with data reuse, including ingestion scripts, APIs, notifications, and provenance tracking.
EXTRA Open Source Rules Classification for NewsStuart Myles
EXTRA is a rules-based system for classifying news articles using metadata. It was developed by the IPTC as open source software to apply taxonomy topics like those used in news publishing. Rules are written in a custom language and applied using Elasticsearch's percolator to match articles. The system provides tools for authoring rules defined in a schema, testing them on sample corpora, and managing the classification process. Its first phase is due to be completed in summer 2017 and its developers are seeking feedback and interest in a potential second phase.
Barcelona 2014: CrossRef System and Support Update by Chuck KoscherCrossref
The document summarizes updates to the CrossRef system. It notes new features like cross-publisher reference linking, metadata feeds to content management systems, originality screening, and text and data mining. It provides statistics on DOI clicks and source articles. It outlines improvements to deposits, inclusion of additional metadata like FundRef and text mining licenses, support for ORCIDs and queries. Notable changes include new FundRef and access indicator metadata, assigning multiple DOIs to books, and allowing references to non-CrossRef DOIs like those in DataCite.
In this talk we will discuss what happens to data when it is written from the HDF5 application to an HDF5 file. This knowledge will help developers to write more efficient applications and to avoid performance bottlenecks.
This CV summarizes Graham Little's educational and professional background. He holds a PhD from Canterbury University and has extensive experience in management consulting, training, and human resources. He founded two companies, the Institute of Theoretical and Applied Social Science and The New Zealand Business School, applying his research in psychology and organizational development. Over his career he has published several books and held positions as a columnist, radio host, and lecturer. He currently serves as the founder and CEO of OPD International, commercializing an organizational design system called OPD-SHRM based on his research.
Exploring New Methods for Protecting and Distributing Confidential Research ...Bryan Beecher
The document discusses improving methods for distributing confidential research data. It proposes moving from traditional paper-based systems to a cloud-based model where researchers could access sensitive data and analytic tools securely through a web portal. Some benefits include improved speed, scalability and cost-effectiveness compared to existing approaches. However, challenges include ensuring security, performance, and meeting researchers' needs when providing customizable virtual research environments in the cloud.
This document is a travel diary from a trip to Tibet from September 12th to October 6th. It describes visiting many iconic locations such as the Potala Palace in Lhasa, the Jokhang Temple, Lake Namtso, the ruins of the Guge Kingdom, and Mount Kailash. It also mentions seeing the Tashilhunpo Monastery in Shigatse and spending the last few days in Lhasa shopping and going to pubs before returning home. The diary captures the author's emotional connection to Tibet and their feelings of love, freedom and dreams inspired by visiting.
or the first time ever there is a comprehensive theory of organization that places human performance in its rightful place as the driver of strategic roll out and success.
This document discusses lame domain name delegations, which occur when a domain nameserver is listed as authoritative for a domain but does not actually serve that domain. The author implemented a patch that detects lame delegations and alerts administrators. A weekly script analyzes these alerts, filters out transient errors, and notifies the appropriate hostmaster via email. This approach helps administrators identify and resolve lame delegations across the distributed University of Michigan network and beyond.
Social Networking Presentation for CEEDguestce9f9c
As a halifax based marketing and communications consultant, I spoke to a group of SMBs on October 14 about Social Networking and broader based Marketing.
The role of human resources in the modern organisation Wheelers PDFGraylit
The role of human resources has strengthened and become a strategic driver of organizational results. HR is now represented on the board and oversees organizational design based on the OPD-SHRM model. This model links organizational strategy to staff behavior and performance in a way that improves profits. The case study company implemented the OPD-SHRM system, which emerged HR as a natural partner to team leaders. HR now guides human performance through monitoring implementation of OPD processes and psychological targets to improve business goals and key performance indicators.
This document provides an introduction to a framework for improving organizational performance and employee satisfaction based on social science. It begins by noting that small improvements in sales and costs can dramatically increase profits due to multiplier effects. It then asks whether human performance could be improved by 2% to increase sales and reduce costs, in turn doubling profits, without disrupting operations or requiring intense pushing by leaders. The document introduces a general theory of psychology that links human behavior directly to organizational performance and profit/loss. The framework aims to systematically construct organizations and link people to achieve better results.
This document provides an agenda and overview for a two-day workshop on modern team leadership. The workshop will review the OPD-SHRM organizational model and processes that team leaders can use to improve team performance. Day one will cover defining success, building an architecture to specify goals and ideal actions, guiding the team psychologically, and establishing performance management processes. Day two focuses on the role of HR in supporting team leaders and coordinating corporate processes. The workshop emphasizes giving team leaders the skills to clearly define goals and expectations to engage employees and achieve strategic objectives.
Moving an Archive from Tape to Disk: A Case-Study at ICPSRBryan Beecher
This document summarizes ICPSR's efforts to transition its archive from tape to disk storage between 2006-2008. It describes ICPSR's mission to collect and preserve social science data. In 2006, ICPSR digitally preserved objects on tape but lacked automation. A new plan automated processes, moved all digital content from tape to disk by 2007, and discarded unnecessary paper records. This transition reduced costs while improving access and preservation for ICPSR staff. While progress was made, further work is still needed on a proper digital preservation system and long-term storage of larger digital objects and restricted-access materials.
The Origin of Consciousness 6th Edition pdfGraylit
This document provides background on Graham Little's intellectual journey and how he came to write this book. He began a PhD in organic chemistry but decided he did not want to be a research chemist. He then took a job with Shell Oil where he showed a talent for training and understanding human behavior. This led him to begin studying social science to better understand how human behavior works. Over nearly 40 years of independent study and research, he developed a new methodology for understanding individuals and society as a scientific discipline. The book aims to present a general theory of the person using this new methodology, addressing questions about consciousness, the mind, spirituality, development, and more. It argues historical failures in social science can be attributed to weaknesses in methodology
BP301: Q: What’s Your Second Most Valuable Asset and Nearly Doubles Every Year? panagenda
A: Data! But do you know where this data is duplicated, by whom and exactly how it’s scattered across laptops, desktops, file servers and IBM Domino databases?
Let us show you how to analyze local drives, network drives and server based apps to get a grasp of what data is out there and what it means to your business. Learn how to collect, aggregate and analyze file sizes and types, as well as identify knowledge sharing patterns. This session will empower you to work towards reducing your data storage costs and increasing collaboration efficiency!
Good (enough) research data management practicesLeon Osinski
Slides of a lecture on research data management (RDM), given for 3rd year students (Eindhoven University of Technology, major Psychology & Technology), as part of the course 0HV90 Quantitative Research. At the end of the slides a handy summary 'Research data management basics in a nutshell' is added.
Bridging Batch and Real-time Systems for Anomaly DetectionDataWorks Summit
This document discusses using a stack of Hadoop, Spark, and Elasticsearch to perform anomaly detection on large datasets in both batch and real-time. Hadoop is used for large-scale data storage and preprocessing. Spark is used to perform in-depth analysis to identify common entities and build models. Elasticsearch allows searching the data in real-time and performing aggregations to identify uncommon entities. A live loop continuously adapts the models to react to streaming data and improve anomaly detection over time.
Analytics with unified file and object Sandeep Patil
Presentation takes you through on way to achive in-place hadoop based analytics for your file and object data. Also give you example of storage integration with cloud congnitive services
Reference Model for an Open Archival Information Systems (OAIS): Overview and...faflrt
ALA/FAFLRT Workshop on Open Archival Information Service (OAIS). Presented by Alan Wood/A.E.Wood & Erickson/Lockheed Martin, Don Sawyer/NASA/GSFC, and Lou Reich/CSC. Sponsored by ALA Federal and Armed Forces Libraries Roundtable (FAFLRT). Presented on June 16, 2001 at the ALA Annual Conference.
This document discusses preservation metadata, which supports the long-term preservation of digital objects. It outlines common types of preservation metadata like fixity, viability, renderability, and authenticity data. Standards for preservation metadata are also examined, including PREMIS and METS, which define the core metadata needed to document digital preservation processes. Issues around implementing preservation metadata schemas and ensuring interoperability are also considered.
247th ACS Meeting: The Eureka Research WorkbenchStuart Chalk
Academic scientists need a tool to capture the science they do so that it can be shared in open science, integrated with linked data, and shared/searched. Eureka is an evolving platform to do this.
Australian Open government and research data pilot survey 2017Jonathan Yu
Australian Open data pilot survey conducted October 2017 leveraging indexed datasets across government and research sources via the CSIRO Knowledge Network (http://kn.csiro.au). Please note, these are preliminary results using our prototype quantitative methodology to assess volume, variety and velocity of open data initiatives across Australia. Lots of sources missing (we'd love to hear feedback about which ones would be good to include in the future!). Future work include addressing gaps in sources list, de-duplication of cross-indexed datasets, quantifying web services data, and an online version of the analysis.
The document provides an overview and introduction to the CDS/ISIS software for Windows, including its basic functions and features. It can be used to create and manage independent or serial databases. Key capabilities include opening and browsing databases, searching with basic and advanced options, and performing basic printing. Data entry and management functions allow users to add, modify, delete, and retrieve records for display and sorting.
Acquiring Born-Digital Material at the Canadian Centre for ArchitectureDavid Stevenson
The acquisition of born-digital material into the Canadian Centre for Architecture’s Collection is a process of many stages, procedures, and tools. The CCA has developed new software tools to facilitate the selection, archival arrangement, migration, and preservation of born-digital material, while simultaneously developing new processes and workflows to support this mission. Our presentation will introduce the tools created by CCA to support these processes : our HARVESTING TOOL, ADAPT, QUESTIONNAIRE. Via this introdcution we will also touch upon various roles and workflows in the acquisition of born-digital material.
Rule-based Capture/Storage of Scientific Data from PDF Files and Export using...Stuart Chalk
Recently, the US government has mandated that publicly funded scientific research data be freely made available in a useable form, allowing integration of data in other systems. While this mandate has been articulated, existing publications and new papers (PDF) still do not provide accessible data, meaning that the usefulness is limited without human intervention.
This presentation outlines our efforts to extract scientific data from PDF files, using the PDFToText software and regular expressions (regex), and process it into a form that structures the data and its context (metadata). Extracted data is processed (cleaned, normalized), organized, and inserted into a contextually developed MySQL database. The data and metadata can then be output using a generic JSON-LD based scientific data model (SDM) under development in our laboratory.
File organization uses storage, organization, and access of data stored in files. There are two main types of file organization: sequential and multitable clustering. Sequential organization stores records in order of a search key, while multitable clustering stores related records from different relations together to minimize disk accesses. Proper file organization is important for database efficiency. Common file functions in C include fopen(), fclose(), fread(), fwrite(), getc(), putc(), getw(), and putw() to open, close, read, write, and access data in text and binary files.
OpenAIRE webinar: Principles of Research Data Management, with S. Venkatarama...OpenAIRE
The 2019 International Open Access Week will be held October 21-27, 2019. This year’s theme, “Open for Whom? Equity in Open Knowledge,” builds on the groundwork laid during last year’s focus of “Designing Equitable Foundations for Open Knowledge.”
As has become a tradition of sorts, OpenAIRE organises a series of webinars during this week, highlighting OpenAIRE activities, services and tools, and reach out to the wider community with relevant talks on many aspects of Open Science.
RO-Crate: A framework for packaging research products into FAIR Research ObjectsCarole Goble
RO-Crate: A framework for packaging research products into FAIR Research Objects presented to Research Data Alliance RDA Data Fabric/GEDE FAIR Digital Object meeting. 2021-02-25
This document summarizes the development of a self-organizing repository for fusion science data at the National Ignition Facility (NIF) at Lawrence Livermore National Laboratory. The repository was designed to manage the large and diverse data generated by NIF experiments in a way that supports data discovery, analysis, and collaboration over a 30-year retention period. Key features of the repository include a taxonomic data model, database storage with analysis linkages, a viewer interface, data suitcases for offline analysis, and integration with a wiki for discussions.
Java SE 7 introduces several new and improved APIs. The key updates include:
1) New NIO2 libraries that provide better support for file metadata, symbolic links, directories, and asynchronous I/O. This includes a new Path class to replace File.
2) Updates to concurrency utilities and collections.
3) Enhancements to JDBC, XML processing, and client APIs for shaped windows and JLayers.
The document outlines the major new features in NIO2 including the Path class, file operations like copy/move, directory streams, file attributes, and file change notifications. It also briefly mentions updated concurrency and collections APIs.
RO-Crate: packaging metadata love notes into FAIR Digital ObjectsCarole Goble
Abstract
slides available at: https://zenodo.org/record/7147703#.Y7agoxXP2F4
The Helmholtz Metadata Collaboration aims to make the research data [and software] produced by Helmholtz Centres FAIR for their own and the wider science community by means of metadata enrichment [1]. Why metadata enrichment and why FAIR? Because the whole scientific enterprise depends on a cycle of finding, exchanging, understanding, validating, reproducing), integrating and reusing research entities across a dispersed community of researchers.
Metadata is not just “a love note to the future” [2], it is a love note to today’s collaborators and peers. Moreover, a FAIR Commons must cater for the metadata of all the entities of research – data, software, workflows, protocols, instruments, geo-spatial locations, specimens, samples, people (well as traditional articles) – and their interconnectivity. That is a lot of metadata love notes to manage, bundle up and move around. Notes written in different languages at different times by different folks, produced and hosted by different platforms, yet referring to each other, and building an integrated picture of a multi-part and multi-party investigation. We need a crate!
RO-Crate [3] is an open, community-driven, and lightweight approach to packaging research entities along with their metadata in a machine-readable manner. Following key principles - “just enough” and “developer and legacy friendliness - RO-Crate simplifies the process of making research outputs FAIR while also enhancing research reproducibility and citability. As a self-describing and unbounded “metadata middleware” framework RO-Crate shows that a little bit of packaging goes a long way to realise the goals of FAIR Digital Objects (FDO)[4], and to not just overcome platform diversity but celebrate it while retaining investigation contextual integrity.
In this talk I will present the why, and how Research Object packaging eases Metadata Collaboration using examples in big data and mixed object exchange, mixed object archiving and publishing, mass citation, and reproducibility. Some examples come from the HMC, others from EOSC, USA and Australia, and from different disciplines.
Metadata is a love note to the future, RO-Crate is the delivery package.
[1] https://helmholtz-metadaten.de/en
[2] Scott, Jason The Metadata Mania, http://ascii.textfiles.com/archives/3181, June 2011
[3] Soiland-Reyes, Stian et al. “Packaging Research Artefacts with RO-Crate”. Data Science, 2022; 5(2):97-138, DOI: 10.3233/DS-210053
[4] De Smedt K, Koureas D, Wittenburg P. “FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units”. Publications. 2020; 8(2):21. https://doi.org/10.3390/publications8020021
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3Data Hops
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Beecher cni fall 2010 v4
1. Preserving Social Science Research Data Using Fedora Bryan Beecher Inter-university Consortium for Political and Social Research (ICPSR) CNI Fall 2010 Membership Meeting
20. Ingest – finale PID REPORT (test/plain) objectProperties DC RELS-EXT AUDIT icpsr:release-28748-file-3 QUESTIONNAIRE (application/pdf) objectProperties DC RELS-EXT isPartOf: release-15868 AUDIT icpsr:release-28748-file-1 STATA-DICT (text/plain) objectProperties DC RELS-EXT isPartOf: release-15868 AUDIT DATA (text/plain) DDI (text/xml) SAS-SETUPS (text/plain) SPSS-SETUPS (text/plain) STATA-SETUPS (text/plain) icpsr:release-28748-file-2 CODEBOOK (application/pdf) objectProperties DC RELS-EXT isPartOf: release-15868 AUDIT
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