EINFOSE http einfose ffos hr Organizacija informacija praktine

EINFOSE http: //einfose. ffos. hr/ Organizacija informacija: praktične vježbe POLONA VILAR AND JAN PISANSKI / AAIS

Straničnici (tiskani) Koji su podaci osobito važni u kontekstu opisa jedinica u zbirci? Vilar and Pisanski, 2018 Temeljno pitanje:

Kontekst Proizvođači straničnika (bookmark) Sakupljači straničnik Muzeji (koji prikupljaju i upravljaju zbirkom straničnika) Knjižnice(koje imaju zbirke straničnika ali s posebnim ciljem: da ih pridruže odgovarajućoj knjizi na posudbi Vilar and Pisanski, 2018

Prvi zadatak 1. 2. Koliko poznajete kontekst kojim se bavi vaša grupa? Na primjer: a) Što vam je poznato o samoj organizaciji/osobi ? b) Koja su vaša dosadašnja iskustva s tom organizacijom/tipom osobe (jeste li imali neke neposredne zadaće)? Što mislite, koje su tipične ‚radne procedure‘ u kontekstu koji promatrate? Podijelite svoja razsmišljanja s kolegama u drugim grupama. Vilar and Pisanski, 2018 Raspravite s kolegama slijedeća pitanja:

Domaća zadaća Što biste trebali/željeli o straničnicima da biste ih opisali s ciljem uspješnog ispunjavanja svog zadatka (s obzirom na tip organizacije/osobe kojom se bavite) Priredite listu obilježja koja su vam se nametnula. Donesite te liste u četvrtak na vježbe. Vilar and Pisanski, 2018 Pokušajte raspraviti:

Homework What would you want/need to know about the bookmarks to describe them, in order to successfully fulfil the working tasks that are typical for your organization ? You made a list of characteristics that you thought of. Vilar and Pisanski, 2018 As members of your organizations, you discussed:

Task 2 Can you in any way classify these characteristics? Is it possible to group them? 2. Do these data need any ‚rules‘ in which you want them to be set or written? In what form should they be (eg. numbers/free text/standardized text, in which measurement units)? Which data types need such standardization, which don‘t? Why? Share your thoughts with your colleagues in the other groups. Vilar and Pisanski, 2018 1.

Of course, there is a long way before such models/schemes can in fact be used; the procedures are much longer and more complex. Also, not very often will you be making a metadata scheme from scratch, usually there will already be an existing one (eg. Dublin Core, VRA Core). But – Each metadata scheme and each digital collection infrastructure must undergo such procedures (and many others) before becoming fully operational, functional and useful. Many things need to be clarified, various rules need to be set, and then also observed by the users/database producers. Overall aim: items in databases need to be searchable and sortable – to be found – for this you need good metadata. Vilar and Pisanski, 2018 What you did was a simplified analysis of functional requirements and shaping of a data model for your given context.

Kontakt Aparac-Jelušić, Faletar Tanacković and Mandl, 2018. Polona. Vilar@ff. uni-lj. si Jan. Pisanski@ff. uni-lj. si