In the first part different purposes of depositing data were discussed. Later on the following questions were raised: Where to deposit research data? Why choose ADP for deposition? How to deposit research data? The final point for discussion was research data acquisition stage.
Event was one of Foster Cessda trainings for doctoral students.
Videos: http://videolectures.net/adptecaj2015_ljubljana/
Related links: https://www.fosteropenscience.eu/event/cessda-research-data-management-open-data-doctoral-training-series-research-data-management
https://www.fosteropenscience.eu/project/index.php?option=com_content&view=category&layout=blog&id=23&Itemid=104
The talk titled "Realizing Semantic Web - Light Weight semantics and beyond" given by prof. T.K. Prasad at the ICMSE-MGI Digital Data Workshop held at Kno.e.sis Center from November 13-14 2013. The talk emphasized on annotation and search framework.
workshop page: http://wiki.knoesis.org/index.php/ICMSE-MGI_Digital_Data_Workshop
Spatial Decision Support Portal- Presented at AAG 2010Nathan Strout
A presentation prepared for the American Association of Geographers (AAG) 2010 Annual Meeting in Washington DC. The presentation discusses work done by the University of Redlands and the SDS Consortium to organize and provide access to the body of knowledge regarding Spatial Decision Support
How to describe a dataset. Interoperability issuesValeria Pesce
Presented by Valeria Pesce during the pre-meeting of the Agricultural Data Interoperability Interest Group (IGAD) of the Research Data Alliance (RDA), held on 21 and 22 September 2015 in Paris at INRA.
The talk titled "Realizing Semantic Web - Light Weight semantics and beyond" given by prof. T.K. Prasad at the ICMSE-MGI Digital Data Workshop held at Kno.e.sis Center from November 13-14 2013. The talk emphasized on annotation and search framework.
workshop page: http://wiki.knoesis.org/index.php/ICMSE-MGI_Digital_Data_Workshop
Spatial Decision Support Portal- Presented at AAG 2010Nathan Strout
A presentation prepared for the American Association of Geographers (AAG) 2010 Annual Meeting in Washington DC. The presentation discusses work done by the University of Redlands and the SDS Consortium to organize and provide access to the body of knowledge regarding Spatial Decision Support
How to describe a dataset. Interoperability issuesValeria Pesce
Presented by Valeria Pesce during the pre-meeting of the Agricultural Data Interoperability Interest Group (IGAD) of the Research Data Alliance (RDA), held on 21 and 22 September 2015 in Paris at INRA.
Doing for Data what Pubmed did for literature: DATS a model for dataset description datasets indexing and data discovery.
Googleslides [https://goo.gl/cd5KKa] or Slideshare [https://goo.gl/c8DH5N]
Ooluk Data Dictionary Manager allows easy metadata management for heterogeneous databases. You can document and tag your entire data envionment allowing users to better understand your data.
Presentations focused on materials and documentation that should be saved in order to prepare data file from a survey for secondary use. Some hints were given on how to label items, code missing values, organize folder structure etc. Additionally to clean dataset, documentation on data level, following internationally accepted DDI specification, could be prepared using Colectica for Excel or Nesstar Publisher.
Event was one of Foster Cessda training events for doctoral students.
Related link: https://www.fosteropenscience.eu/project/index.php?option=com_content&view=category&layout=blog&id=23&Itemid=104
Abstract: https://www.fosteropenscience.eu/event/research-data-management-and-open-data-0
We discussed materials that need to be saved, how to save it and what tools we can use in the process.
Event was one of Foster Cessda training events for doctoral students.
Related link: https://www.fosteropenscience.eu/event/cessda-research-data-management-open-data-doctoral-training-series-research-data-management
https://www.fosteropenscience.eu/project/index.php?option=com_content&view=category&layout=blog&id=23&Itemid=104
Lesson 7 in a set of 10 created by DataONE on Best Practices fo Data Management. The full module can be downloaded from the DataONE.org website at: http://www.dataone.org/educaiton-modules. Released under a CC0 license, attribution and citation requested.
Spring 2014 Data Management Lab: Session 2 Slides (more details at http://ulib.iupui.edu/digitalscholarship/dataservices/datamgmtlab)
What you will learn:
1. Build awareness of research data management issues associated with digital data.
2. Introduce methods to address common data management issues and facilitate data integrity.
3. Introduce institutional resources supporting effective data management methods.
4. Build proficiency in applying these methods.
5. Build strategic skills that enable attendees to solve new data management problems.
Doing for Data what Pubmed did for literature: DATS a model for dataset description datasets indexing and data discovery.
Googleslides [https://goo.gl/cd5KKa] or Slideshare [https://goo.gl/c8DH5N]
Ooluk Data Dictionary Manager allows easy metadata management for heterogeneous databases. You can document and tag your entire data envionment allowing users to better understand your data.
Presentations focused on materials and documentation that should be saved in order to prepare data file from a survey for secondary use. Some hints were given on how to label items, code missing values, organize folder structure etc. Additionally to clean dataset, documentation on data level, following internationally accepted DDI specification, could be prepared using Colectica for Excel or Nesstar Publisher.
Event was one of Foster Cessda training events for doctoral students.
Related link: https://www.fosteropenscience.eu/project/index.php?option=com_content&view=category&layout=blog&id=23&Itemid=104
Abstract: https://www.fosteropenscience.eu/event/research-data-management-and-open-data-0
We discussed materials that need to be saved, how to save it and what tools we can use in the process.
Event was one of Foster Cessda training events for doctoral students.
Related link: https://www.fosteropenscience.eu/event/cessda-research-data-management-open-data-doctoral-training-series-research-data-management
https://www.fosteropenscience.eu/project/index.php?option=com_content&view=category&layout=blog&id=23&Itemid=104
Lesson 7 in a set of 10 created by DataONE on Best Practices fo Data Management. The full module can be downloaded from the DataONE.org website at: http://www.dataone.org/educaiton-modules. Released under a CC0 license, attribution and citation requested.
Spring 2014 Data Management Lab: Session 2 Slides (more details at http://ulib.iupui.edu/digitalscholarship/dataservices/datamgmtlab)
What you will learn:
1. Build awareness of research data management issues associated with digital data.
2. Introduce methods to address common data management issues and facilitate data integrity.
3. Introduce institutional resources supporting effective data management methods.
4. Build proficiency in applying these methods.
5. Build strategic skills that enable attendees to solve new data management problems.
Data Profiling, Data Catalogs and Metadata HarmonisationAlan McSweeney
These notes discuss the related topics of Data Profiling, Data Catalogs and Metadata Harmonisation. It describes a detailed structure for data profiling activities. It identifies various open source and commercial tools and data profiling algorithms. Data profiling is a necessary pre-requisite activity in order to construct a data catalog. A data catalog makes an organisation’s data more discoverable. The data collected during data profiling forms the metadata contained in the data catalog. This assists with ensuring data quality. It is also a necessary activity for Master Data Management initiatives. These notes describe a metadata structure and provide details on metadata standards and sources.
This session covers topics related to data archiving and sharing. This includes data formats, metadata, controlled vocabularies, preservation, archiving and repositories.
What is data discovery and how do people find out about data?
Metadata: What information helps potential users decide whether that data might be useful?
How and why do machines exchange information about research data?
Data without metadata and connections is useless:
Linked data
How Scholix is helping publishers and others to link data with publications and more
Metadata, controlled vocabularies, linked data and crosswalks
Things #11, #12, #13 of 23 Things
How do we make FAIR data? Finable, Accessible, Interoperable, Reusable?
Similar to Deposit data to data centre: ADP case (20)
redavanje na dogodku "Odprta obzorja – odprti dostop v znanosti", ŠOU v Ljubljani.
V uvodnem delu smo predstavili ADP, ter kam se ta umešča v podpornem ekosistemu za odprti dostop. V nadaljevanju smo izpostavili pomen odprtega dostopa za Univerzo v Ljubljani in še posebej pomen odprtega dostopa do raziskovalnih podatkov. Z vidika povpraševanja smo izpostavili potencial, ki ga lahko predstavlja uvajanje dela na dostopnih raziskovalnih podatkih v okviru študija. Podatki lahko postanejo pomemben element v naprednih Odprtih izobraževalnih gradivih (OER). Omenili smo tudi širšo sliko pomena odprtega dostopa do podatkov na strani ponudbe: vloga pri zagotavljanju integritete raziskovanja in dviga kakovosti raziskovanja, ki oboje lahko s svojim povratnim vplivom prispeva tudi k dvigu kakovosti izobraževanja na Univerzi.
In this presentation we were talking about preparing documentation and adapting work processes for acquiring DSA. We briefly introduced ADP as the national data repository for social sciences. We explained the brief history of policy development. The changes on national and international level and internal and external changes that caused new challenges. Finnally we explained the process of preparing and developing policy.
Related link: http://www.dans.knaw.nl/nl/actueel/agenda/cessda-expert-seminar-2015
Dilemmas related to sharing research data were presented. We talked about fraud and misuse and examples of retracted journal articles because of proven fraud. Licences for research data were introduced and requests from journals about open access policies. Researchers need to check and verify journal in which they will published. They should use DOAJ for that. Unfortunately there are more and more hijacked journals. When making data available for secondary use researchers should confirm that distribution is in compliance with ethical norms and legal system.
Event was one of Foster Cessda training events for doctoral students.
Related link: https://www.fosteropenscience.eu/project/index.php?option=com_content&view=category&layout=blog&id=23&Itemid=104
Predavanje na dogodku "Informacijska družba 2015, Soočanje z demografskimi izzivi" na Institutu Jožef Štefan.
Popisni mikropodatki so izredno kakovosten vir tudi za sekundarno rabo, pri čemer se jih lahko uporablja tako v raziskovalne, kot tudi izobraževalne namene. Učenje s pomočjo popisnih mikropodatkov ima mnoge prednosti: od izboljševanja statistične in metodološke pismenosti, povezovanja teorije in prakse, pridobivanja analitičnih sposobnosti, pa do razširitev znanj o demografskih problemih, ki so geografsko ali časovno oddaljeni. V drugih državah imajo inštitucije, ki distribuirajo popisne mikropodatke, dobro razvite prakse podpore vključevanja popisnih podatkov v izobraževanju. Zato smo tudi sami na nacionalni ravni razširili aktivnosti promocije rabe popisnih mikropodatkov v izobraževalne namene.
Objava po dogodku: http://is.ijs.si/zborniki/!%20B%20-%20Soocanje%20z%20demografskimi%20izzivi%20-%20ZBORNIK.pdf
Topics covered at the workshop address basic questions related to Research Data Management for open data, which include preparing a Research Data Management (RDM) plan, licensing data and intellectual property, metadata and contextual description (documentation), ethical and legal aspects of sharing sensitive or confidential data, anonymizing research data for reuse, data archiving and long-term preservation, and data security and storage.
Event: http://conferences.nib.si/AS2015/default.htm
Related material: http://conferences.nib.si/AS2015/BookAS15.pdf
This presentation starts with basic information about the Social Science Data Archives. Then it mostly introduces complexity and diversity of research data field. Participants can learn about Open Data project in Slovenia, about research lifecycle and research data lifecycle. And it concludes with roles and responsibilities in research data lifecycle.
Event was one of Foster Cessda trainings for doctoral students.
Videos: http://videolectures.net/adptecaj2015_ljubljana/
Related link: https://www.fosteropenscience.eu/event/cessda-research-data-management-open-data-doctoral-training-series-research-data-management
This presentation contains important aspects related to methodology and procedures of saving data, including data documentation, data and metadata standards and tools to be used for depositing.
Event was one of Foster Cessda trainings for doctoral students.
Videos: http://videolectures.net/adptecaj2015_ljubljana/
Popular portals for Social Scientists were presented, such as: CESSDA, European Social Survey, European Election Database, Atlas of European Values. Special attention was placed to Official Statistics microdata, DWB project and training courses. At the end metadata systems CIMES and MISSY were presented: access to EU official statistics microdata and aggregate data, access to census microdata, access to official statistics microdata in Slovenia /SI-STAT data portal.
Event was one of Foster Cessda trainings for doctoral students.
Videos: http://videolectures.net/adptecaj2015_ljubljana/
Related materials/pages: https://www.fosteropenscience.eu/project/index.php?option=com_content&view=category&layout=blog&id=23&Itemid=104
https://www.fosteropenscience.eu/event/cessda-research-data-management-open-data-doctoral-training-series-research-data-management
Predstavitev je bila namenjena predstavitvi Arhiva družboslovnih podatkov kot infrastrukturnega centra.
povezana stran: http://www.uni-lj.si/raziskovalno_in_razvojno_delo/mreza_raziskovalnih_infrastrukturnih_centrov/
Udeleženci seminarja so se spoznali z načinom, kakor ravnati z raziskovalnimi podatki v fazi načrtovanja in ustvarjanja podatkov.
Povezava: http://www.adp.fdv.uni-lj.si/blog/2015/blog/prakticni-vidiki-objavljanja-v-odprtem-dostopu/#axzz43uNG9ipW
Udeleženci so se seznanili s politikami, načeli in koristmi, povezanimi z odprtim dostopom do raziskovalnih podatkov.
Povezane vsebine: http://www.adp.fdv.uni-lj.si/blog/2015/blog/odprta-dostopnost-recenziranih-publikacij-in-raziskovalnih-podatkov-dolocila-financerjev-in-prakticna-izvedba/#axzz43uNG9ipW
http://www.adp.fdv.uni-lj.si/konference-in-dogodki/SIDIH_2015_5/
Lecture at an event "SEEDS Kick-off meeting", FORS, Lausanne, Switzerland.
Related page: http://www.snf.ch/en/funding/programmes/scopes/Pages/default.aspx
http://seedsproject.ch/?p=1
Lecture at an event "SEEDS Kick-off meeting", FORS, Lausanne, Switzerland.
Related materials: http://www.snf.ch/en/funding/programmes/scopes/Pages/default.aspx
http://seedsproject.ch/?page_id=368
Predavanje na dogodku "Delavnica Trajno ohranjanje digitalnih vsebin". Udeleženci so se seznanili s pojmom razisovalnimi podatki, klasifikacijo podatkov, podatkovnimi tipi, različnimi vrstami dostopa do podatkov. Predstavljeno jim je bilo poslanstvo ADP in njegova vloga znotraj konzorcija CESSDA. Večji del predavanja je bil namenjen življenjskemu krogu podatkov ter načinu, kako z njimi ravnati, da bi jih lahko kakovostno hranili na dolgi rok.
Predavanje na dogodku "Učinkovito vodenje mednarodnih raziskovalnih projektov s poudarkom na obzorju 2020".
deleženci so se uvodoma seznanili z Arhivom družboslovnih podatkov. V nadaljevanju pa s prednostmi odprtega dostopa ter zahtevami Obzorja 2020, ki za udeležence pilotnega projekta predvideva načrtovano ravnanje z razisokovalnimi podatki. V zadnjem delu so bila predstavljena tudi pričakovanja oz. zahteve ADP, kadar gre za oddajo podatkov s strani dajalca. Ter primeri dobrih praks iz tujine.
Povezano gradivo: file:///C:/Users/adpstud2/Downloads/MD15Program_14.4.2015.pdf
V prvem delu predstavitve so se udeleženci seznanili z zahtevami po odprtem dostopu, ki jih postavlja nov okvirni program za raziskovanje in inovacije Obzorje 2020. V nadaljevanju so bile predstavljene zahteve, ki jih je potrebno izpolniti za predajo podatkov v ADP. V zadnjem delu so se udeleženci seznanili z orodjem, ki je lahko v pomoč pri pripravi načrta za ravnanje z raziskovalnimi podatki (data management planning).
Video: http://videolectures.net/adpseminar2014_bezjak_brvar_prakticnidel/
V prvem delu se udeleženci na kratko seznanijo z zgodovino "osveščenega pristanka" ter s pomenom dokumenta za načrtovanje raziskovanja ter za nadaljnje ravnanje z raziskovalnimi podatki. V nadaljevanju se seznanijo s pojmom občutljivi podatki ter z vprašanji, ki pomenijo ustrezno in kakovostno ravnanje z občutljivimi podatki.
Objava po dogodku: http://www.adp.fdv.uni-lj.si/blog/2014/blog/seminar-za-raziskovalce-priprava-raziskovalnih-podatkov-za-odprti-dostop/#axzz43uNG9ipW
Video: http://videolectures.net/adpseminar2014_brvar_prakticnidel/
From its beginning ADP invested effort into development and strengthening of relationship with researchers - data depositors. The effort was concentrated on the promotion of data services and presenting advantages of data depositing. On the other hand we invested into assuring high quality research: by selection and evaluation of research and its data. Since the policies of research funding agencies are changing (due to requirement of international community and H2020) in the way that open access to research data is becoming a requirement and researchers are becoming more and more motivated to deposit their data, the archives are approaching new challenges. The aim of this presentation is to show (1) the development of the relationship ''ADP – data depositors'' from the beginning , (2) to evaluate the current situation (3) and to establish what are the challenges we will have to deal with.
Related site: http://www.data-archive.ac.uk/news-events/events.aspx?id=3888
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
1. Course for Doctoral Students
RESEARCH DATA MANAGEMENT AND OPEN DATA
25th July 2015, Social Science Data Arhives,
Faculty of Social Sciences, University of Ljubljana
ECPR Summer School 2015
3. Content
• Which things should I save and how
• Documentation
• Data
• Metadata (standards)
• What tools are there
4. SHARING MY RESEARCH
Data should be user-friendly, shareable and with long-
lasting usability.
-> ensure they can be understood and interpreted by any
user
This requires clear data description,
annotation, contextual information
and documentation.
5.
6. Documentation
Data documentation might include:
• a survey questionnaire
• an interview schedule
• records of interviewees and their demographic
characteristics in a qualitative study
• variable labels in a table
• published articles that provides background information
• description of the methodology used to collect the data
Source: UK Data Service
7. What should be captured?
Any useful documentation such as:
• final report, published reports, user guide, working paper,
publications, lab books
Information on dataset structure
• inventory of data files
• relationships between those files
• records, cases...
Variable-level documentation
• labels, codes, classifications
• missing values
• derivations and aggregations
Source: UK Data Service
8. What should be captured?
Contextual information about project and data
• background, project history, aims, objectives, hypotheses
• publications based on data collection
Data collection methodology and processes
• data collection process and sampling
• instruments used - questionnaires, showcards, interview schedules
• temporal/geographic coverage
• data validation - cleaning, error checking
• compilation of derived variables
• weighting: factors and variables, weighting process
• secondary data sources used
Data confidentiality, access and use conditions
• anonymisation carried out
• consent conditions/procedures
• access or use conditions of data Source: UK Data Service
9. Data - level documentation
Certain types of data file may contain important information
which should be preserved:
• variable/value labels; document metadata; table
relationships and queries in relational databases; GIS data
layers/tables
Some examples:
• SPSS: variable attributes documented in Variable View (label,
code, data type, missing values)
• MS Access: relationships between tables
• ArcGIS: shapefiles (layers) and tables in geodatabase;
metadata created in ArcCatalog
• MS Excel: document properties, worksheet labels (where
multiple)
Source: UK Data Service
10. Data - level documentation: variable names
All structured, tabular data should have cases/records and variables
adequately documented with names, labels and descriptions.
Variable names might include:
• question number system related to questions in a survey/questionnaire
e.g. Q1a, Q1b, Q2, Q3a
• numerical order system
e.g. V1, V2, V3
• meaningful abbreviations or combinations of abbreviations referring to
meaning of the variable
e.g. oz%=percentage ozone, GOR=Government Office Region,
moocc=mother occupation, faocc=father occupation
• for interoperability across platforms - variable names should be max 8
characters and without spaces
Source: UK Data Service
11. Data - level documentation: variable labels
Similar principles for variable labels:
• be brief, max. 80 characters
• include unit of measurement where applicable
• reference the question number of a survey or questionnaire
e.g. variable 'q11hexw' with label 'Q11: hours spent taking physical exercise in
a typical week' - the label gives the unit of measurement and a reference to
the question number (Q11b)
• Codes of, and reasons for, missing data avoid blanks, system - missing
or '0' values
e.g. '99=not recorded', '98=not provided (no answer)', '97=not applicable',
'96=not known', '95=error'
• Coding or classification schemes used, with a bibliographic ref
e.g. Standard Occupational Classification 2000 - a list of codes to classify
respondents' jobs; ISO 3166 alpha-2 country codes - an international standard
of 2 - letter country codes
Source: UK Data Service
12. Data - level documentation: transcripts
Qualitative data/text documents:
• interview transcript speech demarcation (speaker
tags)
• document header with brief details of interview
date, place, interviewer name, interviewee details,
context
Source: UK Data Service
13. METADATA
Metadata – data about data
Describe your survey using standard
International standards/schemes
• Data Documentation Initiative (DDI)
• ISO19115
• Dublin Core
• Metadata Encoding and Transmission Standard (METS)
• Preservation Metadata Maintenance Activity (PREMIS)
14. BASIC STRUCTURE OF DDI 2.*
- Section 1.0 ‐ Document Description consists of
bibliographic information that c an be considered as the
header whose elements uniquely describe the full
contents of the compliant DDI file.
- Section 2.0 ‐ Study Description consists of information
about the data collection. This section includes
information about who collected and who distributes the
data, about the scope and coverage, sampling (if
relevant), data collection methods and processing,
citation requirements, etc.
Controlled Vocabulary Multilingual
XML
Semantic and technical interoperability
15. BASIC STRUCTURE OF DDI 2.*
• Section 3.0 ‐ Data Files Description provides
information about the Data file(s).
• Section 4.0 ‐ Variable Description provides a detailed
description o f variables, including (when relevant) t he
variable type, variable and value labels, literal
questions, computation or imputation methods,
instructions to interviewers, universe, descriptive
statistics, etc.
• Section 5.0 ‐ Other Study Related Materials allows for
the inclusion of other materials related to the study such
as questionnaires, user manuals, computer programs,
interviewer manuals, maps, coding information, etc.
19. Nesstar Publisher
Nesstar Publisher – a sophisticated authoring environment that can
publish data from a variety of sources (including SPSS, SAS, Excel
etc.). The tool includes a specialised metadata editor, data and
metadata validation routines and metadata templates that provide
standardisation and control.
Easy editing/creation and export
of DDI documented datasets with
XML experience needed.
Tools to compute/recode/label
new, or existing, variables to be
added to a dataset before
publishing.
Tools to validate metadata and
variables.
The ability to import and export
data to the most common statistical
formats, including delimited files.
The ability to include automatically
generated frequency and summary
statistics for each variable.
Multilingual - Arabic, Chinese,
English, French, Portuguese,
Russian and Spanish and more.