Automated (meta)data collection – problems and solutions Grete Christina Lingjærde and Andora Sjøgren USIT, University of Oslo.

Slides:



Advertisements
Similar presentations
DIGIDOC A web based tool to Manage Documents. System Overview DigiDoc is a web-based customizable, integrated solution for Business Process Management.
Advertisements

Software Quality Assurance Plan
Hydrological information systems Svein Taksdal Head of section, Section for Hydroinformatics Hydrology department Norwegian Water Resources and Energy.
Grete Christina Lingjærde and Andora Sjøgren USIT, University of Oslo The research documentation system Frida (Research results, information and documentation.
Test Case Management and Results Tracking System October 2008 D E L I V E R I N G Q U A L I T Y (Short Version)
© 2005 by Prentice Hall Appendix 2 Automated Tools for Systems Development Modern Systems Analysis and Design Fourth Edition Jeffrey A. Hoffer Joey F.
Case Tools Trisha Cummings. Our Definition of CASE  CASE is the use of computer-based support in the software development process.  A CASE tool is a.
Click a NOTUS Suite- product for a short description NOTUS REGIONAL NOTUS Regional helps regions perform the tasks related to the reimbursement of providers.
Software Delivery. Software Delivery Management  Managing Requirements and Changes  Managing Resources  Managing Configuration  Managing Defects 
CNRIS CNRIS 2.0 Challenges for a new generation of Research Information Systems.
T-FLEX DOCs PLM, Document and Workflow Management.
1 Archiving Workflow between a Local Repository and the National Library Archive Experiences from the DiVA Project Eva Müller, Peter Hansson, Uwe Klosa,
NESSTAR Limitedw w w. n e s s t a r. c o m DDI-Publishing Made Easy- the Nesstar Way Jostein Ryssevik Nesstar Ltd.
Managing Data Resources
Elin Stangeland, July 2005 Data exchange between national Norwegian research reporting systems and DSpace.
1 Kharkiv National University of Radioelectronics, Ukraine Ontology-Based Portal for National Educational and Scientific Resources Management Masha Klymova.
NORA and the development of institutional repositories in Norway Arne Jakobsson University of Oslo Library Library of Medicine and Health Sciences.
Software Documentation Written By: Ian Sommerville Presentation By: Stephen Lopez-Couto.
System Design/Implementation and Support for Build 2 PDS Management Council Face-to-Face Mountain View, CA Nov 30 - Dec 1, 2011 Sean Hardman.
United Nations Economic Commission for Europe Statistical Division Applying the GSBPM to Business Register Management Steven Vale UNECE
Introduction to Databases and Database Languages
SERNEC Image/Metadata Database Goals and Components Steve Baskauf
Electronically approve and create Suppliers in Oracle Financials using a combination of APEX and Oracle Workflow. NZOUG Conference 2010 Brad Sayer Team.
Resource Sharing Development and Challenge in Academic Libraries: the Case Study of CALIS Yao XiaoXia CALIS Administrative Center , PUL , shanghai.
Get More Value from Your Reference Data—Make it Meaningful with TopBraid RDM Bob DuCharme Data Governance and Information Quality Conference June 9.
© 2012 IBM Corporation Rational Insight | Back to Basis Series Documents and Record Control Liu Xue Ning.
Regional Intelligence in Central Macedonia, Greece The METAFORESIGHT solution Isidoros Passas, Nicos Komninos, Elena Sefertzi, Lina Kyrgiafini URENIO Research.
Using ISO/IEC to Help with Metadata Management Problems Graeme Oakley Australian Bureau of Statistics.
Architecture for a Database System
Archival information system ARHiNET Croatian national archival information system Vlatka Lemić Croatian State Archives, Croatia.
© 2007 by Prentice Hall 1 Introduction to databases.
© 2008 IBM Corporation ® IBM Cognos Business Viewpoint Miguel Garcia - Solutions Architect.
Grete Christina Lingjærde and Andora Sjøgren USIT, University of Oslo Quality assurance in the research documentation system Frida (Research results, information.
NIFU STEP Norwegian Institute for Studies in Innovation, Research and Education 7 th euroCRIS strategic seminar, Brussels Recording Research.
Relational Databases Melton, Beth “Databases: Access Terminology and Relational Database Concepts.” 09/LPMArticle.asp?ID=73http://pubs.logicalexpressions.com/Pub00.
BES-MSP Interface ( BMI ) MPUG Presentation- December 3, 2003 MS Office Project/Project Server -- Case Study Follow-up: Integration between MSP and BPA’s.
Library needs and workflows Diane Boehr Head of Cataloging National Library of Medicine, NIH, DHHS
1 Knowledge & Knowledge Management “Knowledge is power” to “Sharing K is power” Yaseen Hayajneh, PhD.
1 Schema Registries Steven Hughes, Lou Reich, Dan Crichton NASA 21 October 2015.
November 2005Anne Asserson Research Administration Department,UiB How can you assess your organisation through a CRIS? The Norwegian national CRIS, FRIDA,
MSIS-2014, Dublin, April IRIA: Statistics Production Model of the National Statistical Institute of Spain (INE). José Manuel Bercebal José Luis Maldonado.
1 1 How to reduce the reporting burden whilst still obtaining high quality data Two practical examples from Norwegian financial markets statistics Ole.
Capital Asset Management May 14, 2008 Today’s Presenters: Anna Jensen, Director of Auxiliary Accounting, Capital Asset Management, Accounts Receivable,
Constructing strategies for locating information The Third Pillar Roger Mills.
How to Implement an Institutional Repository: Part II A NASIG 2006 Pre-Conference May 4, 2006 Technical Issues.
Remodelling Frida From institutional registration to common registration and responsibility across member institutions Grete Christina Lingjærde Andora.
Metadata By N.Gopinath AP/CSE Metadata and it’s role in the lifecycle. The collection, maintenance, and deployment of metadata Metadata and tool integration.
Welcome to the open World of Oracle Financials. Open for business  The eBusiness Suite is a complete integrated solution  We wish you had it all… 
Best Practice – Localization TT Knowledge Force Software December 5, 2012.
Statistical process model Workshop in Ukraine October 2015 Karin Blix Quality coordinator
 All the 16 Finnish universities enter publications to their own publication registers and submit the information to the Finnish Ministry of Education.
Research information systems in the nordic countries Current status from Norway Grete Christina Lingjærde and Katrine Weisteen Bjerde CRIStin and Centre.
Managing Data Resources File Organization and databases for business information systems.
1 Yoel Kortick Senior Librarian Working with the Alma Community Zone and Electronic Resources.
BERGEN UNIVERSITY LIBRARY Workshop on Embedding of CRIS in a university research information management system CRIS 2002 Conference Kassel, August 28 –
© 2017 by McGraw-Hill Education. This proprietary material solely for authorized instructor use. Not authorized for sale or distribution in any manner.
Architecture Review 10/11/2004
Current Research Information SysTem In Norway
BUDGET Process Change Description Type of Change Process
Scientific publishing and Cristin
Project: Improving accessibility of digitally created archives
Proposal for piloting the VIRTA publication information service at the European level Janne Pölönen, Hanna-Mari Puuska and Gunnar Sivertsen.
Computer Aided Software Engineering (CASE)
SuccessFactors Time and Leaves
Implementing an Institutional Repository: Part II
Grete Christina Lingjærde and Andora Sjøgren USIT, University of Oslo
The Database Environment
Metadata The metadata contains
Implementing an Institutional Repository: Part II
How to Implement an Institutional Repository: Part II
Presentation transcript:

Automated (meta)data collection – problems and solutions Grete Christina Lingjærde and Andora Sjøgren USIT, University of Oslo

Authoritative registers Import from HR ITAR Open Access Topics

What is Frida? Frida is an integrated research environment for the documentation and presentation of research activities, research results and scientific competence. Data from Frida is used to generate statistics for research activities at Norwegian universities. Information provided by this system plays a major role in the annual funding of universities by the Norwegian Ministry of Education and Research. Therefore, data quality has been a major issue in the development of the system.

What does Frida provide? a unified view of researchers, research projects and research production at all the organization levels to the institution a flexible and distributed model for registration and validation of data where researchers have full insight in and control over their own data

What does Frida provide – 2? direct import of research publications from ISI and Norart makes registration less time-consuming a system suitable for internal presentation and external profiling of research groups, research centers, departments, etc a system that satisfies the government’s demands for documentation of research production

Information needs that Frida has to cover Internal needs Internal division/distribution of assets Presentation/overview of scientific activities Information for developing an institutional strategy for Research Activities Government Reports to DBH on aggregated level Financial Model Research activities are a part of the basis for the grants/funds given to the universities Profiling of researchers and research activities

The five modules of Frida Research results Projects Scientists Research units Annual reporting

The authoritative registers The system contains registers/separate tables of: periodicals, series publishers organizations (institutions) common code tables. Frida institutions share these registers. The common use and maintenance of these registers is an important quality measure in Frida.

The Institution register The Institution register is a common register containing data of cooperating institutions, both national and international. Each institution is assigned a unique number called ´workplace code´. This code is used as the root element when describing the institution's hierarchy of workplace codes in XML. The Institution register is maintained by FS, and automatically copied to Frida

The Institution register - 2 Initially we had problems caused by the delay from the time an institution was registered in FS, to the data was available in Frida. The register now contains some institutions so occurrences of this problem today is rare.

Import of institutional data from local systems Before Frida can be used at an institution, some data specific to the institution must be in place in Frida: Data about places. Workplace codes for every unit For a user to be able to register data in Frida, a personal record must be imported into Frida from the institution’s user administrative system. Data in such systems are based on data from the institution’s human resource (HR) system. In other words, a user must be employed at the institution or in some other way be associated with the institution in order to register data in Frida.

Import of institutional data from local systems - 2 The ability to import data from HR- systems into Frida means that data delivered in a specified format can be directly loaded into Frida The specified format is described in XML The main benefit from importing is simplified maintenance of data concerning people and employments. This can be very labour-saving for large institutions and institutions with high turnover.

Import of institutional data from local systems - 3 Because local HR-systems are authoritative sources for data about persons, importing correct information ensures better quality of data. The guiding principle is to register data only once and in the authoritative system for this data. When we join together data from multiple systems, we use social security numbers for persons and workplace codes for organisational units.

Personal data register Each Frida institution has its own personal data register. Challenge: Guests/associated persons such as visiting researchers, professors emeritus, etc, are not always registered in the local personnel system. Solution : Registering non-employees in the personnel system as guests, after which their data are imported into Frida.

History of the organization structure Frida contains only the organization structure of to day. Our experience has told us that many of the institutions have enough problems with the present structure. Changes to the organization structure should be maintained in other systems, for example in a Human Resource system. Frida is not the authoritativ system for data representing the organization structure of the institution!

Changes in the organization structure – challenges Frida can automatically update the code for an organization unit to another code. Data about publications, projects etc will be connected to the new unit code and removed from the old one. If an organization unit is divided into two or more units, the piece of work connecting the data to the right unit must mainly be carried out manually. When a unit code is no longer referenced, it can be removed. It is important that Frida is updated when the organization structure is changed. Consequences of not updating Frida may be that some organization units occur several times and that persons, publications etc are connected to wrong units.

Changes in the organization structure – challenges - 2 It is important that the institutions have knowledge about the organization structure, the representation code for these and the use and importance of these codes in different systems. Description of routines of how these codes are updated etc. are important. Our experience tells us that the institutions are concerned about the problem when they first take a system in use. When things run automatically, they forget to have focus on this area.

A new financial model The Norwegian documentation system for research funding was approved by the Ministry of Education and Research in 2005, and the model was applied for the first time during budget allocations in The system is designed to facilitate a performance-based distribution of research funding to institutions based on factors including academic publishing activity.

Central initiatives The Ministry of Education and Research took initiative to improve the quality of publication data. This resulted in: (1) The creation of a national register of publication channels (periodicals, series, publishers) and institutions (organizations). (2) An information pool of bibliographic data to be distributed to local research documentation systems. A system called ITAR (Import Service and Authority Registers) was developed in order to organize information from authoritative registers and bibliographic data. These data are made available to Frida via an export service in ITAR. Suppliers of bibliographic data: ISI, Norart and BIBSYS.

Data from external bibliographical data sources - 1 An import component has been developed in the Frida- application which allows academic staff to import their own publications as well as allowing administrative staff to import all publications for their institution. The import component in Frida has been designed to handle the different statuses a publication may have: The import publication has already been manually registered The import publication has already been imported but lacks additional data The import publication is new (has not been previously registered in Frida)

Data from external bibliographical data sources - 2 During the import phase, a selection of ITAR-data is defined as authoritative and will override manually registered data. This is particularly relevant for data later submitted when applying for funding from the Ministry of Education and Research, including publication channel, the number of authors and the publication type (article, letter etc.). These data can not be changed by the user. Other data such as title and volume can be changed.

Data from external bibliographical data sources - 3 Problems with duplicates. We encountered problems with duplicates when Frida was young. The functionality of the relevant application windows was not good enough, and several users failed to search for entries already made.. Both the interface and the general control mechanism for duplicates has been improved

Full-text databases All universities which are using Frida today also use open archives to store their publication in full text, also called open Access- databases: DIVA, BORA, DUO, Munin Scientific full text documents can be delivered to Frida: Metadata (title, authors, etc) are registered in Frida The full text documents with the metadata are transferred to the open archive of the respective university

NORA: is the organisation of the Norwegian Open Research Archives.